Publications

BibBase
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2024 (18)
An Exploration of Decentralized Moderation on Mastodon. Bono, C.; La Cava, L.; Luceri, L.; and Pierri, F. In 16th ACM Web Science Conference 2024, 2024.
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Anycast Polarization in The Wild. Rizvi, A.; Huang, T.; Esrefoglu, R.; and Heidemann, J. In Proceedings of the Passive and Active Measurement Conference, Virtual Location, March 2024. Springer
Anycast Polarization in The Wild [link]Paper link bibtex abstract
CAREForMe: Contextual Multi-Armed Bandit Recommendation Framework for Mental Health. Yu, S.; Nourzad, N.; Semple, R. J.; Zhao, Y.; Zhou, E.; and Krishnamachari, B. In Proceedings of the 11th IEEE/ACM International Conference on Mobile Software Engineering and Systems, of MOBILESoft '24, 2024.
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Deep Dive into NTP Pool's Popularity and Mapping. Moura, G. C. M.; Davids, M.; Schutijser, C.; Hesselman, C.; Heidemann, J.; and Smaragdakis, G. ACM Proceedings of the ACM on Measurement and Analysis of Computing Systems, 8(1): 30. March 2024.
Deep Dive into NTP Pool's Popularity and Mapping [link]Paper doi link bibtex abstract
Detecting Paleoclimate Transitions With Laplacian Eigenmaps of Recurrence Matrices (LERM). James, A.; Emile‐Geay, J.; Malik, N.; and Khider, D. Paleoceanography and Paleoclimatology, 39(1): e2023PA004700. January 2024.
Detecting Paleoclimate Transitions With Laplacian Eigenmaps of Recurrence Matrices (LERM) [link]Paper doi link bibtex abstract
Digital Wellbeing Redefined: Toward User-Centric Approach for Positive Social Media Engagement. Zhao, Y.; Li, T.; and Sobolev, M. In Proceedings of the 11th IEEE/ACM International Conference on Mobile Software Engineering and Systems, of MOBILESoft '24, 2024.
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Do users adopt extremist beliefs from exposure to hate subreddits?. Schmitz, M.; Muric, G.; Hickey, D.; and Burghardt, K. Social Network Analysis and Mining, 14(1): 22. 2024.
Do users adopt extremist beliefs from exposure to hate subreddits? [link]Paper doi link bibtex abstract
Ebb and Flow: Implications of ISP Address Dynamics. Baltra, G.; Song, X.; and Heidemann, J. In Proceedings of the Passive and Active Measurement Workshop, Virtual Location, March 2024. Springer
Ebb and Flow: Implications of ISP Address Dynamics [link]Paper link bibtex abstract
Independent Functional Testing for Intel Stratix 10. Travis Haroldsen, T. S.; and Osaze Shears, D. G. In GOMACTech-24, 2024. To appear.
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Independent Functional Testing for Intel Stratix 10. Haroldsen, T.; Sung, T.; Shears, O.; Glick, D.; and Danner, J. In Government Microcircuit Applications and Critical Technology Conference, March 2024.
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Misinformation and Polarization around COVID-19 vaccines in France, Germany, and Italy. Nogara, G.; Pierri, F.; Cresci, S.; Luceri, L.; and Giordano, S. In 16th ACM Web Science Conference 2024, 2024.
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Moral Values Underpinning COVID-19 Online Communication Patterns. Jiang, J.; Luceri, L.; and Ferrara, E. arXiv Preprint: https://arxiv.org/abs/2401.08789, 2024.
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Report from the IAB Workshop on Management Techniques in Encrypted Networks (M-TEN). RFC 9490, January 2024.
Report from the IAB Workshop on Management Techniques in Encrypted Networks (M-TEN) [link]Paper doi link bibtex abstract
SoK: The Ghost Trilemma. Mukherjee, S.; Ravi, S.; Schmitt, P.; and Raghavan, B. 2024.
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Socio-Linguistic Characteristics of Coordinated Inauthentic Accounts. Burghardt, K.; Rao, A.; Guo, S.; He, Z.; Chochlakis, G.; Sabyasachee, B.; Rojecki, A.; Narayanan, S.; and Lerman, K. In ICWSM, pages (in press), 2024.
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Susceptibility to Unreliable Information Sources: Swift Adoption with Minimal Exposure. Ye, J.; Luceri, L.; Jiang, J.; and Ferrara, E. In Proceedings of The 2024 World Wide Web Conference, 2024.
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Tracking Fringe and Coordinated Activity on Twitter Leading Up To the US Capitol Attack. Suresh, V. P.; Nogara, G.; Cardoso, F.; Cresci, S.; Giordano, S.; and Luceri, L. In Proceedings of the 2024 International Conference of Web and Social Media (ICWSM), 2024.
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Unmasking the web of deceit: Uncovering coordinated activity to expose information operations on twitter. Luceri, L.; Pantè, V.; Burghardt, K.; and Ferrara, E. In Proceedings of The 2024 World Wide Web Conference, 2024.
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2023 (251)
" Im not Racist but...": Discovering Bias in the Internal Knowledge of Large Language Models. Salinas, A.; Penafiel, L.; McCormack, R.; and Morstatter, F. arXiv preprint arXiv:2310.08780. 2023.
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#RoeOverturned: Twitter Dataset on the Abortion Rights Controversy. Chang, R.; Rao, A.; Zhong, Q.; Wojcieszak, M.; and Lerman, K. CoRR, abs/2302.01439. 2023.
#RoeOverturned: Twitter Dataset on the Abortion Rights Controversy [link]Paper doi link bibtex
A Critical View of Vision-Based Long-Term Dynamics Prediction Under Environment Misalignment. Xie, H.; Zhu, J.; Khayatkhoei, M.; Li, J.; Hussein, M. E.; and Abdalmageed, W. In Proceedings of the 40th International Conference on Machine Learning, volume 202, pages 38258–38271, July 2023. PMLR
A Critical View of Vision-Based Long-Term Dynamics Prediction Under Environment Misalignment [pdf] paper A Critical View of Vision-Based Long-Term Dynamics Prediction Under Environment Misalignment [link] link link bibtex
A Data Fusion Framework for Multi-Domain Morality Learning. Guo, S.; Mokhberian, N.; and Lerman, K. In Lin, Y.; Cha, M.; and Quercia, D., editor(s), Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, ICWSM 2023, June 5-8, 2023, Limassol, Cyprus, pages 281–291, 2023. AAAI Press
A Data Fusion Framework for Multi-Domain Morality Learning [link]Paper doi link bibtex
A Dynamic Residual Learning Approach to Improve Physics-Constrained Neural Network Predictions in Unconventional Reservoirs. Mohd Razak, S.; Cornelio, J.; Cho, Y.; Liu, H.; Vaidya, R.; and Jafarpour, B. In Middle East Oil, Gas and Geosciences Show, 2023. OnePetro
A Dynamic Residual Learning Approach to Improve Physics-Constrained Neural Network Predictions in Unconventional Reservoirs [link]Paper link bibtex
A FastMap-Based Framework for Efficiently Computing Top-K Projected Centrality. Li, A.; Stuckey, P.; Koenig, S.; and Thittamaranahalli, S. Proceedings of the Ninth International Conference on Machine Learning, Optimization, and Data Science (LOD-2023). 2023.
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A Formalism and Approach for Improving Robustness of Large Language Models Using Risk-Adjusted Confidence Scores. Shen, K.; and Kejriwal, M. arXiv preprint arXiv:2310.03283. 2023.
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A Framework for Broad Dissemination of Hydrological Models to Non-Expert Users. Schaffhauser, T.; Garijo, D.; Osorio, M.; Bittner, D.; Pierce, S.; Vargas, H.; Disse, M.; and Gil, Y. Computers and Geosciences. 2023.
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A Knowledge Graph-Based Search Engine for Robustly Finding Doctors and Locations in the Healthcare Domain. Kejriwal, M.; Haidarian, H.; Chiu, M.; Xiang, A.; Shrestha, D.; and Javed, F. arXiv preprint arXiv:2310.05258. 2023.
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A Pilot Evaluation of ChatGPT and DALL-E 2 on Decision Making and Spatial Reasoning. Tang, Z.; and Kejriwal, M. arXiv e-prints,arXiv–2302. 2023.
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A Study of Distance Functions in FastMapSVM for Classifying Seismograms. Sharma, K.; Li, A.; White, M.; and Thittamaranahalli, S. Proceedings of the Twenty-Second International Conference on Machine Learning and Applications (ICMLA-2023). 2023.
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A Theoretically Grounded Question Answering Data Set for Evaluating Machine Common Sense. Santos, H.; Shen, K.; Mulvehill, A. M; Kejriwal, M.; and McGuinness, D. L Data Intelligence,1–29. 2023.
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A structural study of Big Tech firm-switching of inventors in the post-recession era. Sun, Y.; and Kejriwal, M. 2023.
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ACCESS Pegasus: Bringing Workflows to the ACCESS Masses. Rynge, M.; Vahi, K.; Alam, M. Z.; Deelman, E.; Miller, T.; Livny, M.; Knuth, S.; Griffioen, J.; Goodhue, J.; Hudak, D.; Ma, J.; Pasquale, A.; and Fein, L. In Practice and Experience in Advanced Research Computing, of PEARC '23, pages 478–480, New York, NY, USA, 2023. Association for Computing Machinery
ACCESS Pegasus: Bringing Workflows to the ACCESS Masses [link]Paper doi link bibtex
ACQUIRED: A Dataset for Answering Counterfactual Questions In Real-Life Videos. Wu, T.; Dou, Z.; Hu, Q.; Hou, Y.; Chandra, N.; Freedman, M.; Weischedel, R.; and Peng, N. In Bouamor, H.; Pino, J.; and Bali, K., editor(s), Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 11753–11770, Singapore, December 2023. Association for Computational Linguistics
ACQUIRED: A Dataset for Answering Counterfactual Questions In Real-Life Videos [link]Paper doi link bibtex
ALCAP: Alignment-Augmented Music Captioner. He, Z.; Hao, W.; Lu, W. T.; Chen, C.; Lerman, K.; and Song, X. In Bouamor, H.; Pino, J.; and Bali, K., editor(s), Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023, pages 16501–16512, 2023. Association for Computational Linguistics
ALCAP: Alignment-Augmented Music Captioner [link]Paper link bibtex
AVGUST: A Tool for Generating Usage-Based Tests from Videos of App Executions. Talebipour, S.; Park, H.; Baral, K.; Yee, L.; Khan, S. A.; Moran, K.; Brun, Y.; Medvidovic, N.; and Zhao, Y. In Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, of ICSE '23, 2023.
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Active THz Optoelectronics Using Multilayer Graphene: tunable filters, phase modulators, and resonators. Sachin Sharma, Z. C.; and Chatzakis, I. In APS March Meeting Abstracts, volume 2023, of APS Meeting Abstracts, 2023.
Active THz Optoelectronics Using Multilayer Graphene: tunable filters, phase modulators, and resonators [link]Paper link bibtex
Adapting to the Low-Resource Double-Bind: Investigating Low-Compute Methods on Low-Resource African Languages. Leong, C.; Shandilya, H.; Dossou, B. F. P.; Tonja, A. L.; Mathew, J.; Omotayo, A.; Yousuf, O.; Akinjobi, Z.; Emezue, C. C.; Muhammad, S.; Kolawole, S.; Choi, Y.; and Adewumi, T. 2023.
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Affective Polarization in Social Networks. Feldman, D.; Rao, A.; He, Z.; and Lerman, K. CoRR, abs/2310.18553. 2023.
Affective Polarization in Social Networks [link]Paper doi link bibtex
Agile Systems Engineering – Eight Core Aspects. Dove, R.; Lunney, K.; Orosz, M.; and Yokell, M. INCOSE International Symposium, 33(1): 823-837. 2023.
Agile Systems Engineering – Eight Core Aspects [link]Paper doi link bibtex abstract
An experimental study measuring the generalization of fine-tuned language representation models across commonsense reasoning benchmarks. Shen, K.; and Kejriwal, M. Expert Systems,e13243. 2023.
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Analyzing Norm Violations in Live-Stream Chat. Moon, J.; Lee, D.; Cho, H.; Jin, W.; Park, C.; Kim, M.; May, J.; Pujara, J.; and Park, S. In Conference on Empirical Methods in Natural Language Processing, 2023.
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Anger Breeds Controversy: Analyzing Controversy and Emotions on Reddit. Chen, K.; He, Z.; Chang, R.; May, J.; and Lerman, K. In Thomson, R.; Al-khateeb, S.; Burger, A.; Park, P. S.; and Pyke, A. A., editor(s), Social, Cultural, and Behavioral Modeling - 16th International Conference, SBP-BRiMS 2023, Pittsburgh, PA, USA, September 20-22, 2023, Proceedings, volume 14161, of Lecture Notes in Computer Science, pages 44–53, 2023. Springer
Anger Breeds Controversy: Analyzing Controversy and Emotions on Reddit [link]Paper doi link bibtex
Artificial Intelligence for Industries of the Future - Beyond Facebook, Amazon, Microsoft and Google. Kejriwal, M. Springer, 2023.
Artificial Intelligence for Industries of the Future - Beyond Facebook, Amazon, Microsoft and Google [link]Paper doi link bibtex
Auditing Elon Musk's Impact on Hate Speech and Bots. Hickey, D.; Schmitz, M.; Fessler, D.; Smaldino, P. E.; Muric, G.; and Burghardt, K. Proceedings of the International AAAI Conference on Web and Social Media, 17(1): 1133-1137. Jun. 2023.
Auditing Elon Musk's Impact on Hate Speech and Bots [link]Paper doi link bibtex
AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction. Lee, D.; Selvam, R. K.; Sarwar, S. M.; Lin, B. Y.; Morstatter, F.; Pujara, J.; Boschee, E.; Allan, J.; and Ren, X. In European Chapter of the Association for Computational Linguistics, 2023.
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Automated Formal Equivalency Checking for FPGA Tools. Clark, C. R.; Stuckley, W.; Braswell, N.; Haroldsen, T.; Sung, T.; ; and Shears, O. In Government Microcircuit Applications and Critical Technology Conference, March 2023.
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Automated Formal equivalency checking for FPGA Tools. Christopher Clark, W. S.; Nathan Braswell, T. H.; and Ting-Yean Sung, O. S. In GOMACTech-23, 2023.
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Automated Summarization of Stack Overflow Posts. Kou, B.; Chen, M.; and Zhang, T. 2023. cite arxiv:2305.16680Comment: ICSE 2023
Automated Summarization of Stack Overflow Posts [link]Paper link bibtex abstract
Automatic Semantic Typing of Pet E-commerce Products Using Crowdsourced Reviews: An Experimental Study. Liu, X.; Sun, T.; Fu, D.; Li, Z.; Qian, S.; Meng, R.; and Kejriwal, M. In Iberoamerican Knowledge Graphs and Semantic Web Conference, pages 151–167, 2023. Springer
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Backside Optical Coupler : A Novel I/O for Mechanically Stable High Efficiency Fiber Coupling. Sunder, S.; Jaiswal, A.; and Jacob, A. In 2023 IEEE 73rd Electronic Components and Technology Conference (ECTC), pages 727-731, 2023.
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Better May Not Be Fairer: A Study on Subgroup Discrepancy in Image Classification. Chiu, M.; Chen, P.; and Ma, X. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pages 4956-4966, October 2023.
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Bitstream Assurance Checking Engine for Undocumented Functionality (BRACE). A. Schmidt, J. W.; and B. Reynwar, T. S. March 2023.
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Blend and Match: Distilling Semantic Search Models with Different Inductive Biases and Model Architectures. Bonab, H.; Joshi, A.; Bhatia, R.; Gandhi, A.; Huddar, V.; Naik, J.; Al-Darabsah, M.; Teo, C. H.; May, J.; Agarwal, T.; and Petricek, V. In Companion Proceedings of the ACM Web Conference 2023, of WWW '23 Companion, pages 869�877, New York, NY, USA, 2023. Association for Computing Machinery
Blend and Match: Distilling Semantic Search Models with Different Inductive Biases and Model Architectures [link]Paper doi link bibtex abstract
Bridging the Gap between Native Text and Translated Text through Adversarial Learning: A Case Study on Cross-Lingual Event Extraction. Yu, P.; May, J.; and Ji, H. In Findings of the Association for Computational Linguistics: EACL 2023, pages 754–769, Dubrovnik, Croatia, May 2023. Association for Computational Linguistics
Bridging the Gap between Native Text and Translated Text through Adversarial Learning: A Case Study on Cross-Lingual Event Extraction [link]Paper doi link bibtex abstract
Broadening Student Engagement To Build the Next Generation of Cyberinfrastructure Professionals. Murillo, A.; Brower, D.; Hossain, S.; Kee, K.; Mandal, A.; Nabrzyski, J.; Scott, E.; Virdone, N.; Ewing, R.; and Deelman, E. In Practice and Experience in Advanced Research Computing, of PEARC '23, pages 470–473, New York, NY, USA, 2023. Association for Computing Machinery Funding Acknowledgments: NSF 2127548
Broadening Student Engagement To Build the Next Generation of Cyberinfrastructure Professionals [link]Paper doi link bibtex
. Ilievski, F.; Ma, K.; Oltramari, A.; Wang, P.; and Pujara, J. Building Robust and Explainable AI with Commonsense Knowledge Graphs and Neural Models, pages 178 - 209. IOS Press, Nieuwe Hemweg 6B, 1013 BG Amsterdam, NL, 2023.
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Building Spatio-Temporal Knowledge Graphs from Vectorized Topographic Historical Maps. Shbita, B.; Knoblock, C. A; Duan, W.; Chiang, Y.; Uhl, J. H; and Leyk, S. Semantic Web, 14(3): 527–549. 2023.
Building Spatio-Temporal Knowledge Graphs from Vectorized Topographic Historical Maps [link]Link Building Spatio-Temporal Knowledge Graphs from Vectorized Topographic Historical Maps [pdf]Paper Building Spatio-Temporal Knowledge Graphs from Vectorized Topographic Historical Maps [pdf]Slides link bibtex
Building Upon the EarthCube Community: a geoscience and cyberinfrastructure workshop - Report. Khider, D.; Mike Daniels; and Jarboe, N. Technical Report 2023.
Building Upon the EarthCube Community: a geoscience and cyberinfrastructure workshop - Report [link]Paper link bibtex abstract
CPL-NoViD: Context-Aware Prompt-based Learning for Norm Violation Detection in Online Communities. He, Z.; May, J.; and Lerman, K. CoRR, abs/2305.09846. 2023.
CPL-NoViD: Context-Aware Prompt-based Learning for Norm Violation Detection in Online Communities [link]Paper doi link bibtex
Can Language Models Be Used in Multistep Commonsense Planning Domains?. Tang, Z.; and Kejriwal, M. In International Conference on Artificial General Intelligence, pages 276–285, 2023. Springer
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Can language representation models think in bets?. Tang, Z.; and Kejriwal, M. Royal Society Open Science, 10(3): 221585. 2023.
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Can the United States Maintain Its Leadership in High-Performance Computing?-A report from the ASCAC Subcommittee on American Competitiveness and Innovation to the ASCR Office. Dongarra, J.; Deelman, E.; Hey, T.; Matsuoka, S.; Sarakar, V.; Bell, G.; Foster, I.; Keyes, D.; and Kranzlmueller, D. e. OSTI. 2023.
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Capturing Perspectives of Crowdsourced Annotators in Subjective Learning Tasks. Mokhberian, N.; Marmarelis, M. G.; Hopp, F. R.; Basile, V.; Morstatter, F.; and Lerman, K. CoRR, abs/2311.09743. 2023.
Capturing Perspectives of Crowdsourced Annotators in Subjective Learning Tasks [link]Paper doi link bibtex
Challenges in Context-Aware Neural Machine Translation. Jin, L.; He, J.; May, J.; and Ma, X. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 15246–15263, Singapore, December 2023. Association for Computational Linguistics
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Changes in Research Collaborations During the Pandemic. Wang, Z.; Ahrabian, K.; Rusti, C.; Pujara, J.; and Lerman, K. In International Society of Scientometrics and Informetrics Conference, 2023.
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Classifying Seismograms Using the FastMap Algorithm and Support-Vector Machines. White, M.; Sharma, K.; Li, A.; Thittamaranahalli, S.; and Nakata, N. Nature Communications Engineering (NATURE-COMMSENG-2023). 2023.
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Clique Densification in Networks. Pi, H.; Burghardt, K.; Percus, A. G.; and Lerman, K. CoRR, abs/2304.03479. 2023.
Clique Densification in Networks [link]Paper doi link bibtex
Comparison of Knowledge Graph Representations for Consumer Scenarios. Iglesias-Molina, A.; Ahrabian, K.; Ilievski, F.; Pujara, J.; and Corcho, O. In International Semantic Web Conference, 2023.
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Context-Rich Evaluation of Machine Common Sense. Kejriwal, M.; Santos, H.; Shen, K.; Mulvehill, A. M; and McGuinness, D. L In International Conference on Artificial General Intelligence, pages 167–176, 2023. Springer
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Contextualizing Argument Quality Assessment with Relevant Knowledge. Deshpande, D.; Sourati, Z.; Ilievski, F.; and Morstatter, F. arXiv preprint arXiv:2305.12280. 2023.
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Contextualizing Internet Memes Across Social Media Platforms. Joshi, S.; Ilievski, F.; and Luceri, L. arXiv Preprint: https://arxiv.org/abs/2311.11157, 2023.
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Continual Dialogue State Tracking via Example-Guided Question Answering. Cho, H.; Madotto, A.; Lin, Z.; Chandu, K.; Kottur, S.; Xu, J.; May, J.; and Sankar, C. In Bouamor, H.; Pino, J.; and Bali, K., editor(s), Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 3873–3886, Singapore, December 2023. Association for Computational Linguistics
Continual Dialogue State Tracking via Example-Guided Question Answering [link]Paper doi link bibtex abstract
Cross-lingual Continual Learning. M'hamdi, M.; Ren, X.; and May, J. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 3908–3943, Toronto, Canada, July 2023. Association for Computational Linguistics
Cross-lingual Continual Learning [link]Paper doi link bibtex abstract
Data-Driven Template-Free Invariant Generation. Xia, Y.; Deshmukh, J. V.; Raghothaman, M.; and Ravi, S. CoRR, abs/2312.17527. 2023.
Data-Driven Template-Free Invariant Generation [link]Paper doi link bibtex
Database Evolution, by Scientists, for Scientists: A Case Study. Schuler, R.; Singla, J.; Vallat, B.; White, K. L.; Berman, H. M.; and Kesselman, C. In 2023 IEEE 19th International Conference on E-Science (e-Science), pages 1–10, Limassol, Cyprus, October 2023. IEEE
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Deep Learning Recommendation Model Training Co-design with the Dynamic Opera Network. Imes, C.; Rittenbach, A.; Xie, P.; Kang, D. I. D; Walters, J. P.; and Crago, S. P HPEC. 2023.
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Defending Root DNS Servers Against DDoS Using Layered Defenses. Rizvi, A.; Mirkovic, J.; adn Wes Hardaker, J. H.; and Story, R. In Proceedings of the IEEE International Conference on Communications Systems and Netowrks (COMSNETS), pages to appear, Bengaluru, India, January 2023. IEEE Awarded best paper
Defending Root DNS Servers Against DDoS Using Layered Defenses [link]Paper link bibtex
Defending Root DNS Servers Against DDoS Using Layered Defenses. Rizvi, A S M; Mirkovic, J.; Heidemann, J.; Hardaker, W.; and Story, R. In IEEE COMSNETS, 2023.
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Defending Root DNS Servers Against DDoS Using Layered Defenses (Extended). Rizvi, A.; Mirkovic, J.; Heidemann, J.; Hardaker, W.; and Story, R. Ad Hoc Networks Journal, 151. December 2023.
Defending Root DNS Servers Against DDoS Using Layered Defenses (Extended) [link]Paper doi link bibtex abstract
Demonstration of optically-assisted reconfigurable average of two 20-Gbaud 4-phase-encoded data channels using nonlinear wave mixing. Minoofar, A.; Karapetyan, N.; Almaiman, A.; Zhou, H.; Song, H.; Zou, K.; Ko, W.; Ramakrishnan, M.; Annavaram, M.; Habif, J. L; and others Optics Letters, 48(17): 4617–4620. 2023.
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Design Considerations for 3D Heterogeneous Integration Driven Analog Processing-in-Pixel for Extreme-Edge Intelligence. Yin, Z.; Datta, G.; Kaiser, M. A.; Beerel, P.; Jacob, A.; and Jaiswal, A. In 2023 IEEE International Conference on Rebooting Computing (ICRC), pages 1-5, 2023.
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Designing Artificial Intelligence for Open Worlds. Kejriwal, M. In 2023 Annual Meeting, 2023. AAAS
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Detecting Anti-vaccine Users on Twitter. Schmitz, M.; Muric, G.; and Burghardt, K. Proceedings of the International AAAI Conference on Web and Social Media, 17(1): 787-795. Jun. 2023.
Detecting Anti-vaccine Users on Twitter [link]Paper doi link bibtex
Detecting Glaucoma from Fundus Photographs Using Deep Learning without Convolutions: Transformer for Improved Generalization. Fan, R.; Alipour, K.; Bowd, C.; Christopher, M.; Brye, N.; Proudfoot, J.; Goldbaum, M.; Belghith, A.; Girkin, C.; Fazio, M.; Liebmann, J.; Weinreb, R.; Pazzani, M.; Kriegman, D.; and Zangwill, L. , 3(1): 100233. 2023.
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Detecting Semantic Errors in Tables using Textual Evidence. Pham, M.; Knoblock, C. A.; and Chen, M. In 2023 IEEE International Conference on Big Data (BigData), pages 292-303, 2023.
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Detecting social media manipulation in low-resource languages. Haider, S.; Luceri, L.; Deb, A.; Badawy, A.; Peng, N.; and Ferrara, E. In Companion Proceedings of The 2023 World Wide Web Conference, 2023.
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Detection of laser light scattered from aerosols in a bright background using a balanced coherent receiver. Belzer, H.; Rittenbach, A.; and Habif, J. L. Opt. Continuum, 2(4): 751–757. Apr 2023.
Detection of laser light scattered from aerosols in a bright background using a balanced coherent receiver [link]Paper doi link bibtex abstract
Discovering collective narratives shifts in online discussions. Zhao, W.; Guo, F.; Lerman, K.; and Ahn, Y. CoRR, abs/2307.08541. 2023.
Discovering collective narratives shifts in online discussions [link]Paper doi link bibtex
Distributed Edge Machine Learning Pipeline Scheduling with Reverse Auctions. Imes, C.; King, D. W.; and Walters, J. P. In 2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC), pages 196-203, 2023.
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Dynamic FastMap: An Efficient Algorithm for Spatiotemporal Embedding of Dynamic Graphs. Thakoor, O.; and Thittamaranahalli, S. Proceedings of the Thirty-Sixth International FLAIRS Conference (FLAIRS-2023). 2023.
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. Papadimitriou, G.; Wang, C.; Lyons, E.; Thareja, K.; Ruth, P.; Villalobos, J. J.; Rodero, I.; Deelman, E.; Zink, M.; and Mandal, A. Dynamic Network-Centric Multi-cloud Platform for Real-Time and Data-Intensive Science Workflows, pages 835–868. Darema, F.; Blasch, E. P.; Ravela, S.; and Aved, A. J., editor(s). Springer International Publishing, Cham, 2023. Funding Acknowledgments: NSF 1826997
Dynamic Network-Centric Multi-cloud Platform for Real-Time and Data-Intensive Science Workflows [link]Paper doi link bibtex
Dynamic Physics-Guided Deep Learning for Production Forecasting in Unconventional Reservoirs. Mohd Razak, S.; Cornelio, J.; Cho, Y.; Liu, H.; Vaidya, R.; and Jafarpour, B. In SPE Western Regional Meeting, pages D021S004R002, 2023. SPE
Dynamic Physics-Guided Deep Learning for Production Forecasting in Unconventional Reservoirs [link]Paper link bibtex
Dynamic Study of Intercalation/Deintercalation of Ionic Liquids in Multilayer Graphene Using an Alternating Current Raman Spectroscopy Technique. Cai, Z.; Weinstein, H.; Aravind, I.; Li, R.; Weng, S.; Zhang, B.; Habif, J. L; and Cronin, S. B The Journal of Physical Chemistry Letters, 14(32): 7223–7228. 2023.
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Dynamic Study of Intercalation/Deintercalation of Ionic Liquids in Multilayer Graphene Using an Alternating Current Raman Spectroscopy Technique. Zhi Cai, H. W.; and Cronin, S. B. The Journal of Physical Chemistry Letters, 14(32): 7223-7228. Aug 2023.
Dynamic Study of Intercalation/Deintercalation of Ionic Liquids in Multilayer Graphene Using an Alternating Current Raman Spectroscopy Technique [link]Paper doi link bibtex
Effectiveness of Nonpharmaceutical Interventions to Avert the Second COVID-19 Surge in Los Angeles County: A Simulation Study. Rodier, C.; Horn, A.; Zhang, Y.; Kaddoura, I.; and Müller, S. . 2023.
Effectiveness of Nonpharmaceutical Interventions to Avert the Second COVID-19 Surge in Los Angeles County: A Simulation Study [link]Paper link bibtex
Efficient Methods for Natural Language Processing: A Survey. Treviso, M.; Lee, J.; Ji, T.; van Aken, B.; Cao, Q.; Ciosici, M. R.; Hassid, M.; Heafield, K.; Hooker, S.; Raffel, C.; Martins, P. H.; Martins, A. F. T.; Forde, J. Z.; Milder, P.; Simpson, E.; Slonim, N.; Dodge, J.; Strubell, E.; Balasubramanian, N.; Derczynski, L.; Gurevych, I.; and Schwartz, R. Transactions of the Association for Computational Linguistics, 11: 826–860. 2023.
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Efficient Multi-Query Bi-Objective Search via Contraction Hierarchies. Zhang, H.; Salzman, O.; Felner, A.; Thittamaranahalli, S.; Hernandez, C.; and Koenig, S. Proceedings of the Thirty-Third International Conference on Automated Planning and Scheduling (ICAPS-2023). 2023.
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Efficient Multi-Query Bi-Objective Search via Contraction Hierarchies. Zhang, H.; Salzman, O.; Felner, A.; Thittamaranahalli, S.; Hernandez, C.; and Koenig, S. Proceedings of the First International Workshop on Search and Planning with Complex Objectives (WoSePCO-2023). 2023.
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Efficient Porting of FPGA Independent Testing Within and Across Vendors. Haroldsen, T.; Sung, T.; Shears, O.; Glick, D.; and Danner, J. In Government Microcircuit Applications and Critical Technology Conference, March 2023.
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Efficient Porting of FPGA independent Testing Within and Across Vendors. Travis Haroldsen, T. S.; and Osaze Shears, D. G. In GOMACTech-23, 2023.
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Emergent Asymmetry of Precision and Recall for Measuring Fidelity and Diversity of Generative Models in High Dimensions. Khayatkhoei, M.; and Abdalmageed, W. In Proceedings of the 40th International Conference on Machine Learning, volume 202, pages 16326–16343, July 2023. PMLR
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End-to-end Integration of Scientific Workflows on Distributed Cyberinfrastructures: Challenges and Lessons Learned with an Earth Science Application. Roa, C.; Rynge, M.; Olaya, P.; Vahi, K.; Miller, T.; Goodhue, J.; Griffioen, J.; Hudak, D.; Knuth, S.; Llamas, R.; Vargas, R.; Livny, M.; Deelman, E.; and Taufer, M. In 2023 IEEE/ACM 16th International Conference on Utility and Cloud Computing (UCC), of UCC '23, 2023.
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Evaluating Large Language Models on Controlled Generation Tasks. Sun, J.; Tian, Y.; Zhou, W.; Xu, N.; Hu, Q.; Gupta, R.; Wieting, J.; Peng, N.; and Ma, X. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 3155–3168, Singapore, December 2023. Association for Computational Linguistics
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Evaluating deep generative models on cognitive tasks: a case study. Tang, Z.; and Kejriwal, M. Discover Artificial Intelligence, 3(1): 21. 2023.
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Evaluation of transfer learning methods for detecting Alzheimer’s disease with brain MRI. Dhinagar, N. J.; Thomopoulos, S. I.; Rajagopalan, P.; Stripelis, D.; Ambite, J. L.; Steeg, G. V.; and Thompson, P. M. In volume 12567, pages 504–513, 3 2023. SPIE [Online; accessed 2023-04-18]
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Experimental Observation of Thermalization with Noncommuting Charges. Kranzl, F.; Lasek, A.; Joshi, M. K.; Kalev, A.; Blatt, R.; Roos, C. F.; and Yunger Halpern, N. PRX Quantum, 4: 020318. Apr 2023.
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Experimental demonstration of an optics-based 4-PSK half-adder using nonlinear wave mixing. Song, H.; Zou, K.; Zhou, H.; Karapetyan, N.; Minoofar, A.; Su, X.; Almaiman, A.; Habif, J. L; Tur, M.; and Willner, A. E Optics Letters, 48(13): 3475–3478. 2023.
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Experiments on Network Services for Video Transmission using FABRIC Instrument Resources. Morel, A. E.; Gafurov, D.; Calyam, P.; Wang, C.; Thareja, K.; Mandal, A.; Lyons, E.; Zink, M.; Papadimitriou, G.; and Deelman, E. In IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pages 1-6, 2023. Funding Acknowledgments: NSF CNS-1950873, CNS-1647182 and OAC-2018074
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Explainable Classification of Internet Memes. Thakur, A. K.; Ilievski, F.; Sandlin, H.; Sourati, Z.; Luceri, L.; Tommasini, R.; and Mermoud, A. In NeSy 2023, 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023.
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Exploiting Polygon Metadata to Understand Raster Maps: Accurate Polygonal Feature Extraction. Lin, F.; Knoblock, C. A; Shbita, B.; Vu, B.; Li, Z.; and Chiang, Y. In Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, pages 1–12, 2023.
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Exposing influence campaigns in the age of LLMs: a behavioral-based AI approach to detecting state-sponsored trolls. Ezzeddine, F.; Ayoub, O.; Giordano, S.; Nogara, G.; Sbeity, I.; Ferrara, E.; and Luceri, L. EPJ Data Science, 12(1): 46. 2023.
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Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction. Wang, H.; Zhang, H.; Deng, Y.; Gardner, J. R; Roth, D.; and Chen, M. In The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023.
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Faithful Persona-based Conversational Dataset Generation with Large Language Models. Jandaghi, P.; Sheng, X.; Bai, X.; Pujara, J.; and Sidahmed, H. 2023.
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Fast Quantum State Reconstruction via Accelerated Non-Convex Programming. Kim, J. L.; Kollias, G.; Kalev, A.; Wei, K. X.; and Kyrillidis, A. Photonics, 10(2). 2023.
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FastMapSVM for Predicting CSP Satisfiability. Zheng, K.; Li, A.; Zhang, H.; and Thittamaranahalli, S. Proceedings of the Twenty-Ninth International Conference on Principles and Practice of Constraint Programming (CP-2023). 2023.
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Feature Interpretation using Generative Adversarial Networks (FIGAN): A Framework for Visualizing a CNNs Learned Features. Hasenstab, K. A; Huynh, J.; Masoudi, S.; Cunha, G. M; Pazzani, M.; and Hsiao, A. IEEE Access. 2023.
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FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System. Jin, W.; Yao, Y.; Han, S.; Joe-Wong, C.; Ravi, S.; Avestimehr, S.; and He, C. CoRR, abs/2303.10837. 2023.
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Federated Deep Learning for Detecting Alzheimer’s Disease in Multi-Cohort Brain MRI. Stripelis, D.; Dhinagar, N. J; Romero, R. V. S.; Thomopoulos, S. I; Thompson, P. M; and Ambite, J. L. Alzheimer's & Dementia, 19(S1): e065998. 2023. _eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/alz.065998
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Federated Learning over Harmonized Data Silos. Stripelis, D.; and Ambite, J. L. In 7th International Workshop on Health Intelligence (W3PHIAI-23), Washington, D.C., 2023. AAAI
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Feedback Loops and Complex Dynamics of Harmful Speech in Online Discussions. Chang, R.; May, J.; and Lerman, K. In Thomson, R.; Al-khateeb, S.; Burger, A.; Park, P. S.; and Pyke, A. A., editor(s), Social, Cultural, and Behavioral Modeling - 16th International Conference, SBP-BRiMS 2023, Pittsburgh, PA, USA, September 20-22, 2023, Proceedings, volume 14161, of Lecture Notes in Computer Science, pages 85–94, 2023. Springer
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Feedback Loops andComplex Dynamics ofHarmful Speech inOnline Discussions. Chang, R.; May, J.; and Lerman, K. In Social, Cultural, and Behavioral Modeling: 16th International Conference, SBP-BRiMS 2023, Pittsburgh, PA, USA, September 20�22, 2023, Proceedings, pages 85�94, Berlin, Heidelberg, 2023. Springer-Verlag
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First Steps Towards a Source Recommendation Engine: Investigating How Sources Are Used in News Articles. Zurich, Switzerland, June 2023.
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Flow-Bench: A Dataset for Computational Workflow Anomaly Detection. Papadimitriou, G.; Jin, H.; Wang, C.; Raghavan, K.; Mandal, A.; Balaprakash, P.; and Deelman, E. . 2023.
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FlyNet: Drones on the Horizon. Morel, A. E.; Qu, C.; Calyam, P.; Wang, C.; Thareja, K.; Mandal, A.; Lyons, E.; Zink, M.; Papadimitriou, G.; and Deelman, E. IEEE Internet Computing, 27(3): 35-43. 2023. Funding Acknowledgments: NSF 1950873, 1647182, 2018074
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FlyPaw: Optimized Route Planning for Scientific UAVMissions. Grote, A.; Lyons, E.; Thareja, K.; Papadimitriou, G.; Deelman, E.; Mandal, A.; Calyam, P.; and Zink, M. In 2023 IEEE 19th International Conference on e-Science (e-Science), pages 1-10, 2023. Funding Acknowledgments: NSF 2018074, 1939334
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Formal Definition of Fingerprints Improves Attribution of Generative Models. Song, H. J.; Khayatkhoei, M.; and AbdAlmageed, W. In Advances in Neural Information Processing Systems Workshop on Attributing Model Behavior at Scale, December 2023.
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Gender and Prestige Bias in Coronavirus News Reporting. Dorn, R.; Ma, Y.; Morstatter, F.; and Lerman, K. CoRR, abs/2301.11994. 2023.
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GeoAI for the Digitization of Historical Maps. Chiang, Y.; Chen, M.; Duan, W.; Kim, J.; Knoblock, C. A; Leyk, S.; Li, Z.; Lin, Y.; Namgung, M.; Shbita, B.; and others In Handbook of Geospatial Artificial Intelligence, pages 217–247. CRC Press, 2023.
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Graph neural networks for detecting anomalies in scientific workflows. Jin, H.; Raghavan, K.; Papadimitriou, G.; Wang, C.; Mandal, A.; Kiran, M.; Deelman, E.; and Balaprakash, P. The International Journal of High Performance Computing Applications. 2023. Funding Acknowledgments: DOE DE-SC0022328, DE-AC02-06CH11357
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Graph-Based Structure Aware Citation Intent Classification. Du, X.; Ahrabian, K.; Ananthan, A. B. S.; Myloth, R. D.; and Pujara, J. In Workshop on Scientific Document Understanding at AAAI, 2023.
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HALO: An Ontology for Representing Hallucinations in Generative Models. Nananukul, N.; and Kejriwal, M. arXiv preprint arXiv:2312.05209. 2023.
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HISDAC-ES: historical settlement data compilation for Spain (1900–2020). Uhl, J. H.; Royé, D.; Burghardt, K.; Aldrey Vázquez, J. A.; Borobio Sanchiz, M.; and Leyk, S. Earth System Science Data, 15(10): 4713–4747. 2023.
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Harvesting Planck radiation for free-space optical communications in the LWIR band. Haley Weinstein, Z. C.; and Habif, J. L. In APS March Meeting Abstracts, volume 2023, of APS Meeting Abstracts, 2023.
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Having your Privacy Cake and Eating it Too: Platform-supported Auditing of Social Media Algorithms for Public Interest. Imana, B.; Korolova, A.; and Heidemann, J. In Computer Supported Cooperative Work , pages to appear, Minneapolis, Minnesota, USA, October 2023. ACM
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How FaR Are Large Language Models From Agents with Theory-of-Mind?. Zhou, P.; Madaan, A.; Potharaju, S. P.; Gupta, A.; McKee, K. R.; Holtzman, A.; Pujara, J.; Ren, X.; Mishra, S.; Nematzadeh, A.; Upadhyay, S.; and Faruqui, M. 2023.
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How does Twitter account moderation work? Dynamics of account creation and suspension on Twitter during major geopolitical events. Pierri, F.; Luceri, L.; Chen, E.; and Ferrara, E. EPJ Data Science, 12(1): 43. 2023.
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How does prompt engineering affect ChatGPT performance on unsupervised entity resolution?. Sisaengsuwanchai, K.; Nananukul, N.; and Kejriwal, M. arXiv preprint arXiv:2310.06174. 2023.
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How is Artificial Intelligence Changing Science?. Deelman, E. In 2023 IEEE 19th International Conference on e-Science (e-Science), pages 1-4, 2023. Funding Acknowledgments: DOE DE-SC0022328 and NSF 1664162, 2138286
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Hybrid forecasting of geopolitical events. Benjamin, D. M; Morstatter, F.; Abbas, A. E; Abeliuk, A.; Atanasov, P.; Bennett, S.; Beger, A.; Birari, S.; Budescu, D. V; Catasta, M.; and others AI Magazine. 2023.
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I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons. Zhou, P.; Zhu, A.; Hu, J.; Pujara, J.; Ren, X.; Callison-Burch, C.; Choi, Y.; and Ammanabrolu, P. In Association for Computational Linguistics, pages 11136–11155, 2023.
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Identifying Informational Sources in News Articles. Spangher, A.; Peng, N.; Ferrara, E.; and May, J. In Bouamor, H.; Pino, J.; and Bali, K., editor(s), Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 3626–3639, Singapore, December 2023. Association for Computational Linguistics
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Identifying Quantifiably Verifiable Statements from Text. Jandaghi, P.; and Pujara, J. In ACL Workshop on Matching From Unstructured and Structured Data , 2023.
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Identifying and Ranking Multiple Source Models for Transfer Learning in Unconventional Reservoirs. Cornelio, J.; Mohd Razak, S.; Cho, Y.; Liu, H.; Vaidya, R.; and Jafarpour, B. In SPE Middle East Oil and Gas Show and Conference, pages D021S084R003, 2023. SPE
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Identifying and characterizing behavioral classes of radicalization within the QAnon conspiracy on Twitter. Wang, E. L; Luceri, L.; Pierri, F.; and Ferrara, E. In Proceedings of the 2023 International Conference of Web and Social Media (ICWSM), 2023.
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Impact of Subword Pooling Strategy on Cross-lingual Event Detection. Agarwal, S.; Fincke, S.; Jenkins, C.; Miller, S.; and Boschee, E. CoRR, abs/2302.11365. 2023.
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Improved Conflict-Based Search for the Virtual Network Embedding Problem. Zheng, Y.; Ravi, S.; Kline, E.; Thurlow, L.; Koenig, S.; and Thittamaranahalli, S. Proceedings of the Thirty-Second International Conference on Computer Communications and Networks (ICCCN-2023). 2023.
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Improved Conflict-Based Search for the Virtual Network Embedding Problem. Zheng, Y.; Ravi, S.; Kline, E.; Thurlow, L.; Koenig, S.; and Kumar, T. S. In 2023 32nd International Conference on Computer Communications and Networks (ICCCN), pages 1–10, 2023. IEEE
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In-Sensor & Neuromorphic Computing Are all You Need for Energy Efficient Computer Vision. Datta, G.; Liu, Z.; Kaiser, M. A.; Kundu, S.; Mathai, J.; Yin, Z.; Jacob, A. P.; Jaiswal, A. R.; and Beerel, P. A. In ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 1-5, 2023.
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Indirect Cooperation in Distributed Stationary-Resource Searching with Predefined Destinations. Lin, F.; and Knoblock, C. A. In Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, of SIGSPATIAL '23, New York, NY, USA, 2023. Association for Computing Machinery
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Inferring Changes in Daily Human Activity from Internet Response. Song, X.; Baltra, G.; and Heidemann, J. In Proceedings of the ACM Internet Measurement Conference, pages to appear, Montreal, QC, Canada, October 2023. ACM
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Information-Theoretic Bounds on The Removal of Attribute-Specific Bias From Neural Networks. Li, J.; Khayatkhoei, M.; Zhu, J.; Xie, H.; Hussein, M. E; and AbdAlmageed, W. In Advances in Neural Information Processing Systems Workshop on Algorithmic Fairness through the Lens of Time, December 2023.
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Integrity and Assurance Tools Targeting FPGA Hard IP Block Bitstream Undocumented Functionality. Schmidt, A. G.; Reynwar, J. B.; Canida, K.; and French, M. In Government Microcircuit Applications & Critical Techology Conference (GOMACTech), 2023.
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Is Dynamicity All You Need?. Myloth, R. D.; Ahrabian, K.; Ananthan, A. B. S.; Du, X.; and Pujara, J. In Workshop on Scientific Document Understanding at AAAI, 2023.
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Just another day on Twitter: a complete 24 hours of Twitter data. Pfeffer, J.; Matter, D.; Jaidka, K.; Varol, O.; Mashhadi, A.; Lasser, J.; Assenmacher, D.; Wu, S.; Yang, D.; Brantner, C.; and others In Proceedings of the International AAAI Conference on Web and Social Media, volume 17, pages 1073–1081, 2023.
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Know Where You're Going: Meta-Learning for Parameter-Efficient Fine-Tuning. Gheini, M.; Ma, X.; and May, J. In Findings of the Association for Computational Linguistics: ACL 2023, pages 11602–11612, Toronto, Canada, July 2023. Association for Computational Linguistics
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Knowledge Graph-based Embedding for Connecting Scholars in Academic Social Networks. Cheng, X.; Zhang, Y.; Joshi, H.; Kejriwal, M.; and Calyam, P. In 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA), pages 1–10, 2023. IEEE
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LIMA: Less Is More for Alignment. Zhou, C.; Liu, P.; Xu, P.; Iyer, S.; Sun, J.; Mao, Y.; Ma, X.; Efrat, A.; Yu, P.; YU, L.; Zhang, S.; Ghosh, G.; Lewis, M.; Zettlemoyer, L.; and Levy, O. In Thirty-seventh Conference on Neural Information Processing Systems, 2023.
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Labeling without Seeing? Blind Annotation for Privacy-Preserving Entity Resolution. Yao, Y.; Jin, W.; and Ravi, S. CoRR, abs/2308.03734. 2023.
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Leader: Defense Against Exploit-Based Denial-of-Service Attacks on Web Applications. Tandon, R.; Wang, H.; Weideman, N.; Arakelyan, S.; Bartlett, G.; Hauser, C.; and Mirkovic, J. In Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses, pages 744–758, 2023.
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Learn Your Tokens: Word-Pooled Tokenization for Language Modeling. Thawani, A.; Ghanekar, S.; Zhu, X.; and Pujara, J. In Findings of the Association for Computational Linguistics: EMNLP, 2023.
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Lessons Learned: Building a Privacy-Preserving Entity Resolution Adaptation of PPJoin using End-to-End Homomorphic Encryption. Ghai, T.; Yao, Y.; and Ravi, S. In IEEE European Symposium on Security and Privacy, EuroS&P 2023 - Workshops, Delft, Netherlands, July 3-7, 2023, pages 117–124, 2023. IEEE
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Let's Put the Science in eScience. Kesselman, C.; Schuler, R.; and Foster, I. In 2023 IEEE 19th International Conference on E-Science (e-Science), pages 1–3, Limassol, Cyprus, October 2023. IEEE
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Leveraging Label Correlations in a Multi-Label Setting: a Case Study in Emotion. Chochlakis, G.; Mahajan, G.; Baruah, S.; Burghardt, K.; Lerman, K.; and Narayanan, S. In IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP 2023, Rhodes Island, Greece, June 4-10, 2023, pages 1–5, 2023. IEEE
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Leveraging Large Language Models to Detect Influence Campaigns in Social Media. Luceri, L.; Boniardi, E.; and Ferrara, E. arXiv Preprint: https://arxiv.org/abs/2311.07816, 2023.
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Leveraging Social Interactions to Detect Misinformation on Social Media. Fornaciari, T.; Luceri, L.; Ferrara, E.; and Hovy, D. In AAAI ICWSM Workshop, 2023.
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Look-back Decoding for Open-Ended Text Generation. Xu, N.; Zhou, C.; Celikyilmaz, A.; and Ma, X. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 1039–1050, Singapore, December 2023. Association for Computational Linguistics
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Low-Resource Financial QA with Case-based Reasoning. Sun, K.; and Pujara, J. In KDD Workshop on Robust NLP for Finance, 2023.
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Making Large Language Models Better Data Creators. Lee, D.; Pujara, J.; Sewak, M.; White, R.; and Jauhar, S. In Conference on Empirical Methods in Natural Language Processing, 2023.
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Massively Multi-Lingual Event Understanding: Extraction, Visualization, and Search. Jenkins, C.; Agarwal, S.; Barry, J.; Fincke, S.; and Boschee, E. CoRR, abs/2305.10561. 2023.
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Measuring Online Emotional Reactions to Offline Events. Guo, S.; He, Z.; Rao, A.; Jang, E.; Nan, Y.; Morstatter, F.; Brantingham, P. J.; and Lerman, K. CoRR, abs/2307.10245. 2023.
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Mega: moving average equipped gated attention. Ma, X.; Zhou, C.; Kong, X.; He, J.; Gui, L.; Neubig, G.; May, J.; and Zettlemoyer, L. In Proceedings of the 11th International Conference on Learning Representations (ICLR-2023), 2023.
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MetisFL: An Embarrassingly Parallelized Controller for Scalable & Efficient Federated Learning Workflows. Stripelis, D.; Anastasiou, C.; Toral, P.; Asghar, A.; and Ambite, J. L. In Proceedings of the 4th International Workshop on Distributed Machine Learning, of DistributedML '23, pages 11–19, New York, NY, USA, December 2023. Association for Computing Machinery
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Minimizing die fracture in three-dimensional IC advanced packaging wafer thinning process by inserting polyimide patterns. ?Jaime Bravo, P. M.; Lifu Chang, E. B.; and Frederic Brault, J. Z. In Proceedings of SPIE, 2023.
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Minimizing die fracture in three-dimensional IC advanced packaging wafer thinning process by inserting polyimide patterns. Bravo, J.; Morey-Chaisemartin, P.; Chang, L.; Beisser, E.; Brault, F.; and Zusman, J. In Kim, R.; and Lafferty, N. V., editor(s), DTCO and Computational Patterning II, volume 12495, pages 1249511, 2023. International Society for Optics and Photonics, SPIE
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Modeling cognitive workload in open-source communities via simulation. Tregubov, A.; Abramson, J.; Hauser, C.; Hussain, A.; and Blythe, J. In AAMAS International Workshop on Multi-Agent-Based Simulation, 2023.
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Multi-agent Game Domain: Monopoly. Bonjour, T; Haliem, M; Aggarwal, V; Kejriwal, M; and Bhargava, B In A Unifying Framework for Formal Theories of Novelty: Discussions, Guidelines, and Examples for Artificial Intelligence, pages 97–105. Springer, 2023.
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NRE-013: The Global Network Advancement Group: A Next Generation System for Data Intensive Sciences. Newman, H.; Balcas, J.; Sirvinskas, R.; Iordache, C.; Bhat, P.; Moya, A.; Uppalapati, S.; Chang, J.; Mughal, A.; Boyd, D.; Williams, D. S.; Wuerthwein, F.; deFanti , T.; Smarr, L.; Graham, J.; Hutton, T.; Mishin, D.; Guiang, J.; Davila, D.; Sfiligoi, I.; Arora, A.; Yang, R.; Yang, R.; Zhang, J.; Yeh, E.; Wu, Y.; Mutlu, V.; Liu, Y.; Shannigrahi, S.; Timilsina, S.; Zhang, L.; Cong, J.; Lo, M.; Song, S.; Gutsche, O.; Demar, P.; Monga, I.; Lehman, C. G. T.; MacAuley, J.; Yang, X.; Balcas, J.; Kiran, M.; Sim, A.; Attenbury, G.; Melo, A.; Martelli, E.; Misa, C.; Ros-Giralt, J.; Martinello, M.; Ribeiro, M. R.; Dominicini, C.; Borges, E.; Guimaraes, R.; Schwarz, M.; Ciuffo, L.; LOUI, F.; Novaes, S.; Iope, R.; Francisco, A. J F; Lemke, N.; Ruggiero, C. A.; de Almeida, J. M.; Baldim, B.; Simionato, P.; Santoro, A.; Revoredo, E.; Rigo, S.; Jabbari, B.; Sobieski, J.; Zhang, L.; Xiang, Q.; Huang, C.; Wen, R.; Wang, Y.; shu , J.; Fox, L.; Bruton, C.; Bellamine, S.; Nguyen, T.; Anderson, C.; Mambretti, J.; Chen, J.; Yeh, F.; Wilkinson, C.; Zekauskas, M.; Todorov, C.; Ibarra, J.; Bezerra, J.; Chergarova, V.; Ulloa, A.; Morgan, H.; Kohlert, S.; Lyonnais, M.; Wilson, R.; Cho, B.; Hussain, M.; Park, C.; Tam, T.; Moura, A.; Sale, K.; Roos, J.; Hoeft, B.; Lee, C.; Pasavento, D.; Zane, C.; Trompert, H.; Hažlinský, M.; McKnight, C.; Ku, L.; Perrig, A.; Kwon, J.; Wirz, F.; Hausheer, D.; Gartner, M.; Pillay, K.; Johnston, B.; Hugo, J.; Diamini, S.; Greaves, D.; Sullivan, P.; Makan, A.; Hay, J.; van Heerden, R. P.; Khwela, T.; Wilde, D.; and Members, G. A. / S. W. 11/2023 2023.
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NRE-013: Turbocharging 100G Link: A High-Speed Data Filling Demo from South Africa to Denver!. Newman, H.; Ibarra, J.; Pillay, K.; Khwela, T.; van Heerden, R. P.; Greaves, D.; Makan, A.; Sullivan, P.; Johnston, B.; Schwarz, M. F.; Dlamini, S.; Hugo, J.; Hay, J.; Bezerra, J.; Ulloa, A.; Morgan, H.; and Chergarova, V. 11/2023 2023.
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NRE-019: AmLight 2.0: Flexible Control, Deep Visibility, and Programmability @ Tbps!. Bezerra, J.; Brito, I. V. D. S.; Arcanjo, V.; Ibarra, J.; Frez, R.; Motitsuki, R.; Morgan, H.; Chergarova, V.; Baldim, B.; Bernardes, M. C.; Ferreira, J. E.; and Newman, H. 11/2023 2023.
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Network Services Management using Programmable Data Planes for Visual Cloud Computing. Esquivel Morel, A.; Calyam, P.; Qu, C.; Gafurov, D.; Wang, C.; Thareja, K.; Mandal, A.; Lyons, E.; Zink, M.; Papadimitriou, G.; and Deelman, E. In 2023 International Conference on Computing, Networking and Communications (ICNC), pages 130-136, 2023. Funding Acknowledgments: NSF 1950873, 2018074
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Neural Network-Assisted Clustering for Improved Production Predictions in Unconventional Reservoirs. Cornelio, J.; Mohd Razak, S.; Cho, Y.; Liu, H.; Vaidya, R.; and Jafarpour, B. In SPE Western Regional Meeting, pages D021S004R001, 2023. SPE
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NeuroBridge ontology: computable provenance metadata to give the long tail of neuroimaging data a FAIR chance for secondary use. Sahoo, S. S.; Turner, M. D.; Wang, L.; Ambite, J. L.; Appaji, A.; Rajasekar, A.; Lander, H. M.; Wang, Y.; and Turner, J. A. Frontiers in Neuroinformatics, 17: 1216443. 2023.
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NeuroBridge: a prototype platform for discovery of the long-tail neuroimaging data. Wang, L.; Ambite, J. L.; Appaji, A.; Bijsterbosch, J.; Dockes, J.; Herrick, R.; Kogan, A.; Lander, H.; Marcus, D.; Moore, S. M; Poline, J.; Rajasekar, A.; Sahoo, S. S; Turner, M. D; Wang, X.; Wang, Y.; and Turner, J. A Frontiers in Neuroinformatics, 17: 1215261. January 2023.
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Neuromorphic-P2M: processing-in-pixel-in-memory paradigm for neuromorphic image sensors. Kaiser, M. A.; Datta, G.; Wang, Z.; Jacob, A. P.; Beerel, P. A.; and Jaiswal, A. R. Frontiers in Neuroinformatics, 17. 2023.
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Non-Binary Gender Expression in Online Interactions. Dorn, R.; Jiang, J.; Abramson, J.; and Lerman, K. CoRR, abs/2303.04837. 2023.
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Non-Binary Gender Expression in Online Interactions. Dorn, R.; Negar, M.; Jiang, J.; Abramson, J.; Morstatter, F.; and Lerman, K. In "16th International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation", September 2023.
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Noncommuting conserved charges in quantum thermodynamics and beyond. Majidy, S.; Braasch, W. F.; Lasek, A.; Upadhyaya, T.; Kalev, A.; and Yunger Halpern, N. Nature Reviews Physics. Oct 2023.
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Online Boosted Gaussian Learners for In-Situ Detection and Characterization of Protein Folding States in Molecular Dynamics Simulations. Sahni, H.; Carrillo-Cabada, H.; Kots, E.; Caino-Lores, S.; Marquez, J.; Deelman, E.; Cuendet, M.; Weinstein, H.; Taufer, M.; and Estrada, T. In 2023 IEEE 19th International Conference on e-Science (e-Science), pages 1-10, 2023. Funding Acknowledgments: NSF 1757207, 1741057, 1841758, 2138811 and 2223704
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Online Networks of Support in Distressed Environments: Solidarity and Mobilization during the Russian Invasion of Ukraine. Ye, J.; Jindal, N.; Pierri, F.; and Luceri, L. In AAAI ICWSM Workshop, 2023.
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Online search is more likely to lead students to validate true news than to refute false ones. Bouleimen, A.; Luceri, L.; Cardoso, F.; Botturi, L.; Hermida, M.; Addimando, L.; Beretta, C.; Galloni, M.; and Giordano, S. arXiv Preprint: https://arxiv.org/abs/2303.13138, 2023.
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Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal Distribution. Rostami, M.; and Galstyan, A. In AAAI, 2023.
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P3V: Privacy-Preserving Path Validation System for Multi-Authority Sliced Networks. Jin, W.; Kline, E.; Thittamaranahalli, S.; Thurlow, L.; and Ravi, S. Cryptology ePrint Archive, Paper 2023/053. 2023.
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P3V: Privacy-Preserving Path Validation System for Multi-Authority Sliced Networks. Jin, W.; Kline, E.; Kumar, T. S.; Thurlow, L.; and Ravi, S. Cryptology ePrint Archive. 2023.
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PINTO: Faithful Language Reasoning Using Prompted-Generated Rationales. Wang, P.; Chan, A.; Ilievski, F.; Chen, M.; and Ren, X. In International Conference on Learning Representations, 2023.
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Pandemic Culture Wars: Partisan Asymmetries in the Moral Language of COVID-19 Discussions. Rao, A.; Guo, S.; Wang, S. N.; Morstatter, F.; and Lerman, K. CoRR, abs/2305.18533. 2023.
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Pandemic Culture Wars: Partisan Differences in the Moral Language of COVID-19 Discussions. Rao, A.; Guo, S.; Wang, S. N.; Morstatter, F.; and Lerman, K. In He, J.; Palpanas, T.; Hu, X.; Cuzzocrea, A.; Dou, D.; Slezak, D.; Wang, W.; Gruca, A.; Lin, J. C.; and Agrawal, R., editor(s), IEEE International Conference on Big Data, BigData 2023, Sorrento, Italy, December 15-18, 2023, pages 413–422, 2023. IEEE
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Parameter-Efficient Tuning with Special Token Adaptation. Yang, X.; Huang, J. Y; Zhou, W.; and Chen, M. In The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023.
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Photonic-integrated circuit fabrication and test approaches. Jacob, A. P.; Chandran, S.; Van Campenhout, J.; Pantouvaki, M.; Heck, J.; Giewont, K.; Rakowski, M.; Bian, Y.; Debackere, P.; and Kuntz, M. In Glick, M.; Liao, L.; and Schmidtke, K., editor(s), Integrated Photonics for Data Communication Applications, of Integrated Photonics Apps Specific Design &Manufacturing, pages 369-410. Elsevier, 2023.
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Physics-Guided Deep Learning for Improved Production Forecasting in Unconventional Reservoirs. Mohd Razak, S.; Cornelio, J.; Cho, Y.; Liu, H.; Vaidya, R.; and Jafarpour, B. SPE Journal,1–23. 2023.
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Pipeline for modeling causal beliefs from natural language. Priniski, J.; Verma, I.; and Morstatter, F. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 436–443, 2023.
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Population mobility data provides meaningful indicators of fast food intake and diet-related diseases in diverse populations. Horn, A. L; Bell, B. M; Bulle Bueno, B. G.; Bahrami, M.; Bozkaya, B.; Cui, Y.; Wilson, J. P; Pentland, A.; Moro, E.; and de la Haye, K. NPJ Digital Medicine, 6(1): 208. 2023.
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Practical Intent-driven Routing Configuration Synthesis. Ramanathan, S.; Zhang, Y.; Gawish, M.; Mundada, Y.; Wang, Z.; Yun, S.; Lippert, E.; Taha, W.; Yu, M.; and Mirkovic, J. In 20th USENIX Symposium on Networked Systems Design and Implementation (NSDI 23), pages 629–644, 2023.
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Preface for the Second International Workshop on Knowledge Graph Generation from Text. ; and others In CEUR WORKSHOP PROCEEDINGS, volume 3447, pages 1–3, 2023. CEUR-WS
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Priority-Based Search for the Virtual Network Embedding Problem. Zheng, Y.; Ma, H.; Koenig, S.; Kline, E.; and Thittamaranahalli, S. Proceedings of the Thirty-Third International Conference on Automated Planning and Scheduling (ICAPS-2023). 2023.
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Priority-Based Search for the Virtual Network Embedding Problem. Zheng, Y.; Ma, H.; Koenig, S.; Kline, E.; and Kumar, T. K. S. Proceedings of the International Conference on Automated Planning and Scheduling, 33(1): 472-480. Jul. 2023.
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Propaganda and Misinformation on Facebook and Twitter during the Russian Invasion of Ukraine. Pierri, F.; Luceri, L.; Jindal, N.; and Ferrara, E. 2023.
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PubGraph: A Large Scale Scientific Temporal Knowledge Graph. Ahrabian, K.; Du, X.; Myloth, R. D.; Ananthan, A. B. S.; and Pujara, J. 2023.
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QuantPipe: Applying Adaptive Post-Training Quantization For Distributed Transformer Pipelines In Dynamic Edge Environments. Wang, H.; Imes, C.; Kundu, S.; Beerel, P. A.; Crago, S. P.; and Paul Walters, J. In ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 1-5, 2023.
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Quantifying COVID-19 policy impacts on subjective well-being during the early phase of the pandemic: A cross-sectional analysis of United States survey data from March to August 2020. Shen, K.; and Kejriwal, M. Plos one, 18(9): e0291494. 2023.
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Quantifying Gender Disparity in Pre-Modern English Literature using Natural Language Processing. Kejriwal, M.; and Nagaraj, A. Journal of Data Science,1–20. 2023.
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Quantifying confidence shifts in a BERT-based question answering system evaluated on perturbed instances. Shen, K.; and Kejriwal, M. Plos one, 18(12): e0295925. 2023.
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RECAP: Retrieval-Enhanced Context-Aware Prefix Encoder for Personalized Dialogue Response Generation. Liu, S.; Cho, H.; Freedman, M.; Ma, X.; and May, J. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 8404–8419, Toronto, Canada, July 2023. Association for Computational Linguistics
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RPU: The Ring Processor Unit. Deepraj Soni, N. N.; Naifeng Zhang, B. R.; Homer Gamil, B. H.; Mohammed Nabeel, A. A. B.; Yuriy Polyakov, K. C.; Massoud Pedram, M. M.; David Bruce Cousins, F. F.; and Matthew French, A. S. April 2023.
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Radicalized by Thinness: Using a Model of Radicalization to Understand Pro-Anorexia Communities on Twitter. Lerman, K.; Karnati, A.; Zhou, S.; Chen, S.; Kumar, S.; He, Z.; Yau, J.; and Horn, A. CoRR, abs/2305.11316. 2023.
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Remember what you did so you know what to do next. Ciosici, M. R; Hedges, A.; Kankanampati, Y.; Martin, J.; Freedman, M.; and Weischedel, R. In Findings of the Association for Computational Linguistics: EMNLP 2023, pages 1550–1562, 2023.
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Reproducibility as a Stepping Stone to Intelligent Assistants for Data Analysis: Recreating a Study of Physical Activity, Sleep, and Work Shift in Nurses. Brinkley, D. J.; Johnson, E.; Feng, T.; and Gil, Y. In Companion Proceedings of the 28th International Conference on Intelligent User Interfaces, pages 246–250, 2023.
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Reproducing the results for NICER observation of PSR J0030+0451. Afle, C.; Miles, P. R.; Caino-Lores, S.; Capano, C. D.; Tews, I.; Vahi, K.; Deelman, E.; Taufer, M.; and Brown, D. A. . 4 2023. Funding Acknowledgments: NSF 2207264, 2041977, 2041901, 2028923, 2028930, 1841399, and 1941443; DOE DE-AC52-06NA25396
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Retrieving false claims on Twitter during the Russia-Ukraine conflict. La Gatta, V.; Wei, C.; Luceri, L.; Pierri, F.; and Ferrara, E. In Companion Proceedings of The 2023 World Wide Web Conference, 2023.
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Retweets Distort Exposure to Polarized Information. Rao, A.; Morstatter, F.; and Lerman, K. In Proceeddings of ASONAM, 2023.
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Revisiting Nakamoto Consensus in Asynchronous Networks: A Comprehensive Analysis of Bitcoin Safety and Chain Quality. Saad, M.; Anwar, A.; Ravi, S.; and Mohaisen, D. IEEE/ACM Transactions on Networking,1-15. 2023.
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Runtime Steering of Molecular Dynamics Simulations Through In Situ Analysis and Annotation of Collective Variables. Caino-Lores, S.; Cuendet, M.; Marquez, J.; Kots, E.; Estrada, T.; Deelman, E.; Weinstein, H.; and Taufer, M. In Proceedings of the Platform for Advanced Scientific Computing Conference, of PASC '23, New York, NY, USA, 2023. Association for Computing Machinery Funding Acknowledgments: NSF 1741057, 1841758, 2138811 and 2223704
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SABAF: Removing Strong Attribute Bias from Neural Networks with Adversarial Filtering. Li, J.; Khayatkhoei, M.; Zhu, J.; Xie, H.; Hussein, M. E; and AbdAlmageed, W. arXiv preprint arXiv:2311.07141, November 2023.
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SSDBM '23: Proceedings of the 35th International Conference on Scientific and Statistical Database Management. Schuler, R.; Kesselman, C.; Chard, K.; and Bugacov, A., editors. Association for Computing Machinery. New York, NY, USA, 2023.
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Secure and Reliable Network Updates. Lembke, J.; Ravi, S.; Roman, P.; and Eugster, P. ACM Trans. Priv. Secur., 26(1): 8:1–8:41. 2023.
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Shadow Datasets, New Challenging Datasets for Causal Representation Learning. Zhu, J.; Xie, H.; Wu, J.; Li, J.; Khayatkhoei, M.; Hussein, M. E; and AbdAlmageed, W. arXiv preprint arXiv:2308.05707, August 2023.
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Social Approval and Network Homophily as Motivators of Online Toxicity. Jiang, J.; Luceri, L.; Walther, J. B; and Ferrara, E. arXiv Preprint: https://arxiv.org/abs/2310.07779, 2023.
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Socio-Linguistic Characteristics of Coordinated Inauthentic Accounts. Burghardt, K.; Rao, A.; Guo, S.; He, Z.; Chochlakis, G.; Sabyasachee, B.; Rojecki, A.; Narayanan, S.; and Lerman, K. arXiv preprint arXiv:2305.11867. 2023.
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Special Issue on Artificial Intelligence and Complex Systems. Kejriwal, M. 2023.
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Street Rep: A Privacy-Preserving Reputation Aggregation System. Hauser, C.; Nilizadeh, S.; Shoshitaishvili, Y.; Trieu, N.; Ravi, S.; Kruegel, C.; and Vigna, G. IACR Cryptol. ePrint Arch.,1346. 2023.
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TG-CSR: A human-labeled dataset grounded in nine formal commonsense categories. Santos, H.; Mulvehill, A. M; Shen, K.; Kejriwal, M.; and McGuinness, D. L Data in Brief, 51: 109666. 2023.
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The Fence Complexity of Persistent Sets. Coccimiglio, G.; Brown, T.; and Ravi, S. In Dolev, S.; and Schieber, B., editor(s), Stabilization, Safety, and Security of Distributed Systems - 25th International Symposium, SSS 2023, Jersey City, NJ, USA, October 2-4, 2023, Proceedings, volume 14310, of Lecture Notes in Computer Science, pages 36–51, 2023. Springer
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The Prevalence of Single Sign-On on the Web: Towards the Next Generation of Web Content Measurement. Ardi, C.; and Calder, M. In Proceedings of the 2023 ACM on Internet Measurement Conference, of IMC '23, pages 124–130, New York, NY, USA, 2023. Association for Computing Machinery
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The Unequal Opportunities of Large Language Models: Examining Demographic Biases in Job Recommendations by ChatGPT and LLaMA. Salinas, A.; Shah, P.; Huang, Y.; McCormack, R.; and Morstatter, F. In Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, pages 1–15, 2023.
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The eBible Corpus: Data and Model Benchmarks for Bible Translation for Low-Resource Languages. Akerman, V.; Baines, D.; Daspit, D.; Hermjakob, U.; Jang, T.; Leong, C.; Martin, M.; Mathew, J.; Robie, J.; and Schwarting, M. 2023.
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The interconnected nature of online harm and moderation: investigating the cross-platform spread of harmful content between youtube and Twitter. Gatta, V. L.; Luceri, L.; Fabbri, F.; and Ferrara, E. In Proceedings of the 34th ACM conference on hypertext and social media, 2023.
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Tighter Prediction Intervals for Causal Outcomes Under Hidden Confounding. Marmarelis, M. G; Steeg, G. V.; Galstyan, A.; and Morstatter, F. arXiv preprint arXiv:2306.09520. 2023.
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Towards Effective Multi-Valued Heuristics for Bi-Objective Shortest-Path Algorithms via Differential Heuristics. Zhang, H.; Salzman, O.; Felner, A.; Thittamaranahalli, S.; Skyler, S.; Hernandez, C.; and Koenig, S. Proceedings of the Sixteenth International Symposium on Combinatorial Search (SOCS-2023). 2023.
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Toxic Bias: Perspective API misreads German as more toxic. Nogara, G.; Pierri, F.; Cresci, S.; Luceri, L.; Törnberg, P.; and Giordano, S. arXiv Preprint: https://arxiv.org/abs/2312.12651, 2023.
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TrainFors: A Large Benchmark Training Dataset for Image Manipulation Detection and Localization. Nandi, S.; Natarajan, P.; and Abd-Almageed, W. In Proceedings of the IEEE/CVF International Conference on Computer Vision, pages 403–414, 2023.
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Transfer Learning with Prior Data-Driven Models from Multiple Unconventional Fields. Cornelio, J.; Mohd Razak, S.; Cho, Y.; Liu, H.; Vaidya, R.; and Jafarpour, B. SPE Journal,1–30. 2023. Publisher: SPE
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Trojan Model Detection Using Activation Optimization. Hussein, M. E.; Janakiraman, S. S.; and AbdAlmageed, W. arXiv Preprint: http://arxiv.org/abs/2306.04877, 2023.
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31. Orosz, M.; Duffy, B.; Charlton, C.; Saunders, H.; and Thomas, E. Unique Challenges in Mission Engineering and Technology Integration, pages 665-681. John Wiley & Sons, Ltd, 2023.
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Unsupervised Multimodal Deepfake Detection Using Intra- and Cross-Modal Inconsistencies. Tian, M.; Khayatkhoei, M.; Mathai, J.; and AbdAlmageed, W. arXiv preprint arXiv:2311.17088, November 2023.
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Unveiling the Dynamics of Censorship, COVID-19 Regulations, and Protest: An Empirical Study of Chinese Subreddit r/china_irl. Zhou, S.; Luceri, L.; and Ferrara, E. In AAAI ICWSM Workshop, 2023.
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User Study for Improving Tools for Bible Translation. Mathew, J.; and Hermjakob, U. 2023.
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VisDict: Improving Communication Via a Visual Dictionary in a Science Gateway. Gesing, S.; Deelman, E.; Hildreth, M.; Makhija, R.; McDowell, M. A.; Meyers, N. K.; and Thain, D. Computing in Science & Engineering, 25(2): 7-11. 2023. Funding Acknowledgments: NSF 2216851, 2100561, and 2100636
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Visual Cropping Improves Zero-Shot Question Answering of Multimodal Large Language Models. Zhang, J.; Khayatkhoei, M.; Chhikara, P.; and Ilievski, F. In Advances in Neural Information Processing Systems Workshop on Robustness of Few-shot and Zero-shot Learning in Foundation Models, December 2023.
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What Is The Internet? Partial Connectivity of the Internet Core. Baltra, G.; and Heidemann, J. Technical Report arXiv:2107.11439v3, USC/Information Sciences Institute, March 2023.
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What are Your Pronouns? Examining Gender Pronoun Usage on Twitter. Jiang, J.; Chen, E.; Luceri, L.; Murić, G.; Pierri, F.; Chang, H. H.; and Ferrara, E. In AAAI ICWSM Workshop, 2023.
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What is On the Menu? Towards Predicting Nutritional Quality of Food Environments. Seo, D.; Horn, A. L; Abeliuk, A.; and Burghardt, K. medRxiv,2023–12. 2023.
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WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models. Felkner, V.; Chang, H. H.; Jang, E.; and May, J. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 9126–9140, Toronto, Canada, July 2023. Association for Computational Linguistics
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XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models. Lee, D.; Kadakia, A.; Joshi, B.; Chan, A.; Liu, Z.; Narahari, K.; Shibuya, T.; Mitani, R.; Sekiya, T.; Pujara, J.; and Ren, X. In Association for Computational Linguistics, 2023.
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cfr (v2023.9.14): a Python package for climate field reconstruction. Zhu, F.; Emile-Geay, J.; Hakim, G. J.; Guillot, D.; Khider, D.; Tardif, R.; and Perkins, W. A. Technical Report Climate and Earth system modeling, September 2023.
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seq2seq-SC: End-to-End Semantic Communication Systems with Pre-Trained Language Models. Lee, J.; Lee, D.; Sheen, E.; Choi, T.; Pujara, J.; and Kim, J. In Asilomar Conference on Signals, Systems, and Computers, 2023.
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A Long Wave Infrared Communication Transmitter using Tunable Emissivity in Graphene. Weinstein, H.; Habif, J.; Cai, Z.; and Cronin, S. In Frontiers in Optics, pages JW5A–48, 2022. Optica Publishing Group
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A Long Wave Infrared Communication Transmitter using Tunable Emissivity in Graphene. Haley Weinstein, Z. C.; and Habif, J. L. In Frontiers in Optics $+$ Laser Science 2022 (FIO, LS), pages JW5A.48, 2022. Optica Publishing Group
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A Metric Space for Point Process Excitations. Marmarelis, M. G; Ver Steeg, G.; and Galstyan, A. Journal of Artificial Intelligence Research, 73: 1323–1353. 2022.
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A Physics based MTJ Compact Model for State-of-the-Art and Emerging STT-MRAM Failure Analysis and Yield Enhancement. Gaul, N. S; Jaiswal, A.; Yoon, H.; Lee, T.; Yamane, K.; Versaggi, J.; Carter, R.; and Paul, B. C In 2022 IEEE International Memory Workshop (IMW), pages 1–4, 2022. IEEE
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A Theoretically Grounded Benchmark for Evaluating Machine Commonsense. Santos, H.; Shen, K.; Mulvehill, A. M.; Razeghi, Y.; McGuinness, D. L.; and Kejriwal, M. CoRR, abs/2203.12184. 2022.
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A Tutorial on Security and Privacy Challenges in CPS. Dibaji, S. M.; Hussain, A.; and Ishii, H. Security and Resilience of Control Systems,121–146. 2022.
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A framework for emotion-driven product design through virtual reality. Andreoletti, D.; Paoliello, M.; Luceri, L.; Leidi, T.; Peternier, A.; and Giordano, S. In Information Technology for Management: Business and Social Issues: 16th Conference, ISM 2021, and FedCSIS-AIST 2021 Track, Held as Part of FedCSIS 2021, Virtual Event, September 2–5, 2021, Extended and Revised Selected Papers, pages 42–61, 2022. Springer
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A processing-in-pixel-in-memory paradigm for resource-constrained TinyML applications. Datta, G.; Kundu, S.; Yin, Z.; Lakkireddy, R. T.; Mathai, J.; Jacob, A. P; Beerel, P. A; and Jaiswal, A. R Scientific Reports, 12(1): 14396. 2022.
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ACE-SNN: Algorithm-hardware co-design of energy-efficient & low-latency deep spiking neural networks for 3d image recognition. Datta, G.; Kundu, S.; Jaiswal, A.; and Beerel, P. A Frontiers in neuroscience,400. 2022.
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AMON-SENSS: Scalable and Accurate Detection of Volumetric DDoS Attacks at ISPs. Tandon, R.; Charnsethikul, P.; Kallitsis, M.; and Mirkovic, J. In Globecom, 2022.
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Accelerating Scientific Workflows on HPC Platforms with In Situ Processing. Do, T. M. A.; Pottier, L.; Yildiz, O.; Vahi, K.; Krawczuk, P.; Peterka, T.; and Deelman, E. In 2022 IEEE/ACM 22nd International Symposium on Cluster, Cloud and Internet Computing (CCGrid), pages 1–10, 2022. IEEE Funding Acknowledgments: NSF 1664162, DOE DE-AC02-06CH11357, DE-AC02-05CH11231, DE-SC0012636 and DE-SC0022328
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Accepted Tutorials at The Web Conference 2022. Tommasini, R.; Basu Roy, S.; Wang, X.; Wang, H.; Ji, H.; Han, J.; Nakov, P.; Da San Martino, G.; Alam, F.; Schedl, M.; and others In Companion Proceedings of the Web Conference 2022, pages 391–399, 2022.
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Alzheimer's Disease Detection with a 3D Convolutional Neural Network using Gray Matter Maps from T1-weighted Brain MRI. Dhinagar, N. J; Thomopoulos, S. I; Owens-Walton, C.; Stripelis, D.; Ambite, J. L.; Ver Steeg, G.; and Thompson, P. M Alzheimer's & Dementia, 18: e066446. 2022.
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Alzheimer’s Disease Detection with a 3D Convolutional Neural Network using Gray Matter Maps from T1-weighted Brain MRI. Dhinagar, N. J; Thomopoulos, S. I; Owens-Walton, C.; Stripelis, D.; Ambite, J. L.; Steeg, G. V.; and Thompson, P. M Alzheimer's & Dementia, 18(S5): e066446. 2022.
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AmLight Real Time In-Band Telemetry Within the NoviFlow Switches. Bezerra, J. A; Ibarra, J. E; Torres, A. Q.; Brito, I. V. D. S.; Chergarova, V.; Morgan, H.; LeClerc, M.; and Ker, B. In Future of Information and Communication Conference, pages 644–655, 2022. Springer
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An AI Approach to Integrating Climate, Hydrology, and Agriculture Models. Berhanu, B.; Bisrat, E.; Gil, Y.; Khider, D.; Osorio, M.; Ratnakar, V.; and Vargas, H. In Proceedings of the First International Workshop on Social Impact of AI for Africa (SIAIA), held at the 36th Annual Conference of the Association for the Advancement of Artificial Intelligence (AAAI-22), 2022.
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An Empirical Investigation of Commonsense Self-Supervision with Knowledge Graphs. Zhang, J.; Ilievski, F.; Ma, K.; Francis, J.; and Oltramari, A. arXiv preprint arXiv:2205.10661. 2022.
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An automated Cryo-EM computational environment on the HPC system using Pegasus WMS. Osinski, T.; Rynge, M.; Hong, J. K.; Vahi, K.; Chu, R.; Sul, C.; Deelman, E.; and Kim, B. In 2022 IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS), pages 60-67, 2022. Funding Acknowledgments: NSF 1664162
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An improved baseline for sentence-level relation extraction. Zhou, W.; and Chen, M. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL), 2022.
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Anger Breeds Controversy: Analyzing Controversy and Emotions on Reddit. Chen, K.; He, Z.; Chang, R.; May, J.; and Lerman, K. CoRR, abs/2212.00339. 2022.
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Answer Consolidation: Formulation and Benchmarking. Zhou, W.; Ning, Q.; Elfardy, H.; Small, K.; and Chen, M. NAACL. 2022.
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Anycast Agility: Network Playbooks to Fight DDoS. Rizvi, A.; Bertholdo, L.; Ceron, J.; and Heidemann, J. In Proceedings of the 31stUSENIX Security Symposium , pages 4201–4218, August 2022. USENIX
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App2Net: Moving Application Functions to Network & a Case Study on Low-latency Feedback. Sankaran, G. C; Chung, J.; and Kettimuthu, R. In 2022 IEEE/ACM International Workshop on Innovating the Network for Data-Intensive Science (INDIS), pages 1–8, 2022. IEEE
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Application of Edge-to-Cloud Methods Toward Deep Learning. Choudhary, K.; Nersisyan, N.; Lin, E.; Chandrasekaran, S.; Mayani, R.; Pottier, L.; Murillo, A. P.; Virdone, N. K.; Kee, K.; and Deelman, E. In 2022 IEEE 18th International Conference on e-Science (e-Science), pages 415-416, 2022. Funding Acknowledgments: NSF 2127548
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Arbiter: Bridging the Static and Dynamic Divide in Vulnerability Discovery on Binary Programs. Vadayath, J.; Eckert, M.; Zeng, K.; Weideman, N.; Menon, G. P.; Fratantonio, Y.; Balzarotti, D.; Doupé, A.; Bao, T.; Wang, R.; and others In USENIX Security, 2022.
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Array of integrated pixel and memory cells for deep in-sensor, in-memory computing. Jaiswal, A.; and Jacob, A. P. October~11 2022. US Patent 11,468,146
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Artificial Intelligence and Cardiovascular Risk Prediction: All That Glitters is not Gold. Chiarito, M.; Luceri, L.; Oliva, A.; Stefanini, G.; and Condorelli, G. European Cardiology Review, 17. 2022.
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Assessing Scientific Research Papers with Knowledge Graphs. Sun, K.; Qiu, Z.; Salinas, A.; Huang, Y.; Lee, D.; Benjamin, D.; Morstatter, F.; Ren, X.; Lerman, K.; and Pujara, J. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 2467–2472, 2022.
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Attack-Agnostic Adversarial Detection. Cheng, J.; Hussein, M.; Billa, J.; and AbdAlmageed, W. NeurIPS workshop on Trustworthy and Socially Responsible Machine Learning. 2022.
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Augmenting Knowledge Graphs for Better Link Prediction. Wang, J.; Ilievski, F.; Szekely, P.; and Yao, K. In volume 3, pages 2277–2283, July 2022. ISSN: 1045-0823
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Augmenting Training Data for Massive Semantic Matching Models in Low-Traffic E-commerce Stores. Joshi, A.; Vishwanath, S.; Teo, C.; Petricek, V.; Vishwanathan, V.; Bhagat, R.; and May, J. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, pages 160–167, Hybrid: Seattle, Washington + Online, July 2022. Association for Computational Linguistics
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AutoCPS: Control Software Dataset Generation for Semantic Reverse Engineering. Wang, H.; Hauser, C.; and Luis Garcia, U. o. S. C. In IEEE Security and Privacy Workshops, 2022.
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AutoCPS: Control Software Dataset Generation for Semantic Reverse Engineering. Wang, H.; Hauser, C.; and Garcia, L. In 2022 IEEE Security and Privacy Workshops (SPW), pages 236–242, 2022. IEEE
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Automated Generation of Control Concepts Annotation Rules Using Inductive Logic Programming. Shbita, B.; and Moitra, A. In Hanus, M.; and Igarashi, A., editor(s), Functional and Logic Programming, pages 171–185, Cham, 2022. Springer International Publishing
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Automating Detection of Papilledema in Pediatric Fundus Images with Explainable Machine Learning. Avramidis, K.; Rostami, M.; Chang, M.; and Narayanan, S. In 2022 IEEE International Conference on Image Processing (ICIP), pages 3973–3977, 2022. IEEE
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Automating Edge-to-cloud Workflows for Science: Traversing the Edge-to-cloud Continuum with Pegasus. Tanaka, R.; Papadimitriou, G.; Viswanath, S. C.; Wang, C.; Lyons, E.; Thareja, K.; Qu, C.; Esquivel, A.; Deelman, E.; Mandal, A.; Calyam, P.; and Zink, M. In 2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid), pages 826-833, 2022. Funding Acknowledgments: NSF 2018074, 1664162. Best Paper Award.
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Avgust: Automating Usage-Based Test Generation from Videos of App Executions. Zhao, Y.; Talebipour, S.; Baral, K.; Park, H.; Yee, L.; Khan, S. A.; Brun, Y.; Medvidovic, N.; and Moran, K. In Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, of ESEC/FSE '22, 2022.
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Bending the Future: Autoregressive Modeling of Temporal Knowledge Graphs in Curvature-Variable Hyperbolic Spaces. Sohn, J.; Ma, M. D.; and Chen, M. In 4th Conference on Automated Knowledge Base Construction (AKBC), 2022.
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Bitstream Assurance Checking Engine for Undocumented Functionality. A. Schmidt, J. W.; and French, M. March 2022.
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Bitstream Assurance Checking Engine for Undocumented Functionality (BRACE). Schmidt, A. G.; Wilford, J.; Reynwar, B.; Sung, T.; and French, M. In Government Microcircuit Applications & Critical Techology Conference (GOMACTech), 2022.
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Bounding the Effects of Continuous Treatments for Hidden Confounders. Marmarelis, M. G; Ver Steeg, G.; and Galstyan, A. In NeurIPS 2022 Workshop on Causal Machine Learning for Real-World Impact, 2022.
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Broadening Student Participation in Cyberinfrastructure Research and Development. Murillo, A. P.; Deelman, E.; Nabrzyski, J.; and Pottier, L. In Practice and Experience in Advanced Research Computing, of PEARC '22, New York, NY, USA, 2022. Association for Computing Machinery Funding Acknowledgments: NSF 2127548, 1842042
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Building Spatio-Temporal Knowledge Graphs from Vectorized Topographic Historical Maps. Shbita, B.; Knoblock, C. A; Duan, W.; Chiang, Y.; Uhl, J. H; and Leyk, S. Semantic Web, (Preprint): 1–23. 2022.
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Building an Event Extractor with Only a Few Examples. Yu, P.; Zhang, Z.; Voss, C.; May; and Heng Ji, J. In Proceedings of the Third Workshop on Deep Learning for Low-Resource Natural Language Processing, pages 102–109, Hybrid, July 2022. Association for Computational Linguistics
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Building the Research Innovation Workforce: Challenges and Recommendations from a Virtual Workshop to Advance the Research Computing Community*. Hacker, T.; Smith, P.; Brunson, D.; Arafune, L.; Cheatham, T.; and Deelman, E. In Practice and Experience in Advanced Research Computing, of PEARC '22, New York, NY, USA, 2022. Association for Computing Machinery Funding Acknowledgments: NSF 2036534
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CAT: Controllable Attribute Translation for Fair Facial Attribute Classification. Li, J.; and AbdAlmageed, W. European Conference on Computer Vision Workshop on VISION WITH BIASED OR SCARCE DATA. 2022.
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CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks. Srinivasan, T.; Chang, T.; Alva, L. L. P.; Chochlakis, G.; Rostami, M.; and Thomason, J. In Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track, 2022.
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Can Language Representation Models Think in Bets?. Tang, Z.; and Kejriwal, M. CoRR, abs/2210.07519. 2022.
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Can Scale-free Network Growth with Triad Formation Capture Simplicial Complex Distributions in Real Communication Networks?. Kejriwal, M.; and Shen, K. CoRR, abs/2203.06491. 2022.
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Charting the Information and Misinformation Landscape to Characterize Misinfodemics on Social Media: COVID-19 Infodemiology Study at a Planetary Scale. Chen, E.; Jiang, J.; Chang, H. H.; Muric, G.; and Ferrara, E. JMIR Infodemiology, 2(1): e32378. Feb 2022.
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Checks and Strategies for Enabling Code-Switched Machine Translation. Gowda, T.; Gheini, M.; and May, J. 2022.
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Chhoyhopper: A Moving Target Defense with IPv6. Rizvi, A.; and Heidemann, J. In Proceedings of the IEEE Workshop on Measurements, Attacks, and Defenses for the Web (MADWeb), pages to appear, San Diego, California, USA, April 2022. IEEE
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City definition affects long-term urban scaling analyses in the United States (1900-2015). Burghardt, K.; Uhl, J. H; Lerman, K.; and Leyk, S. arXiv preprint arXiv:2209.10852. 2022.
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Co-scheduling Ensembles of In Situ Workflows. Do, T. M. A.; Pottier, L.; da Silva, R. F.; Suter, F.; Caíno-Lores, S.; Taufer, M.; and Deelman, E. August 2022. arXiv:2208.09190 [cs]
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Coalescing Global and Local Information for Procedural Text Understanding. Ma, K.; Ilievski, F.; Francis, J.; Nyberg, E.; and Oltramari, A. In COLING, 2022.
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Conflict-Based Search for the Virtual Network Embedding Problem. Zheng, Y.; Ravi, S.; Kline, E.; Koenig, S.; and Kumar, T. K. S. In Kumar, A.; Thiébaux, S.; Varakantham, P.; and Yeoh, W., editor(s), Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, ICAPS 2022, Singapore (virtual), June 13-24, 2022, pages 423–433, 2022. AAAI Press
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Considerations for Large Authoritative DNS Server Operators. Moura, G.; Hardaker, W.; Heidemann, J.; and Davids, M. Technical Report 9199, Internet Request For Comments, March 2022. Informational
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Content Delivery Networks (CDNs) Overview and Illicit Material Considerations. Hardaker, W. ˘rlhttps://publicexchange.usc.edu/wp-content/uploads/2022/10/USC-Thorn-Report_CDNs-Overview-and-Illicit-Material-Considerations.pdf, 10 2022.
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Contextualized Scene Imagination for Generative Commonsense Reasoning. Wang, P.; Zamora, J.; Liu, J.; Ilievski, F.; Chen, M.; and Ren, X. ICLR. 2022.
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Coupled Microdisk Resonators for Efficient Electro-Optic Quantum Frequency Conversion. Kudalippalliyalil, R.; Chandran, S.; Jaiswal, A.; and Jacob, A. P In 2022 Conference on Lasers and Electro-Optics (CLEO), pages 1–2, 2022. IEEE
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Cross-lingual Lifelong Learning. M'hamdi, M.; Ren, X.; and May, J. 2022.
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CryoCiM: Cryogenic compute-in-memory based on the quantum anomalous Hall effect. Alam, S.; Islam, M. M.; Hossain, M. S.; Jaiswal, A.; and Aziz, A. Applied Physics Letters, 120(14): 144102. 2022.
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Cryptography Review of W3C Verifiable Credentials Data Model (VCDM) and Decentralized Identifiers (DIDs) Standards and Cryptography Implementation Recommendations (Revision 1). Balenson, D.; and DeAngelis, D. . 2022.
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Cyberinfrastructure for collecting and integrating geology field data: Community priorities and research agenda. Mookerjee, M.; Chan, M. A.; Gil, Y.; Gill, G.; Goodwin, C.; Pavlis, T. L.; Shipley, T. F.; Swain, T.; Tikoff, B.; and Vieira, D. In Recent Advancements in Geoinformatics and Data Science: Geological Society of America Special Paper 558. Geological Society of America, 2022.
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Cybersecurity as Illuminator for the Future of Computing Research. Wroclawski, J.; and Benzel, T. Communications of the ACM. May 2022.
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DEAM: Dialogue Coherence Evaluation using AMR-based Semantic Manipulations. Ghazarian, S.; Wen, N.; Galstyan, A.; and Peng, N. In ACL 2022, 2022.
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DEGREE: A Data-Efficient Generation-Based Event Extraction Model. Hsu, I.; Huang, K.; Boschee, E.; Miller, S.; Natarajan, P.; Chang, K.; and Peng, N. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 1890–1908, Seattle, United States, July 2022. Association for Computational Linguistics
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Dangling-Aware Entity Alignment with Mixed High-Order Proximities. Liu, J.; Sun, Z.; Hooi, B.; Wang, Y.; Liu, D.; Yang, B.; Xiao, X.; and Chen, M. NAACL - Findings. 2022.
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Data Integrity Error Localization in Networked Systems with Missing Data. Xin, Y.; Fu, S.; Mandal, A.; Tanaka, R.; Rynge, M.; Vahi, K.; and Deelman, E. In ICC 2022 - IEEE International Conference on Communications, pages 341-346, 2022. Funding Acknowledgments: NSF 1839900
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Decentralized Privacy-Preserving Path Validation for Multi-Slicing-Authority 5G Networks. Jin, W.; Ravi, S.; and Kline, E. In IEEE Wireless Communications and Networking Conference, WCNC 2022, Austin, TX, USA, April 10-13, 2022, pages 31–36, 2022. IEEE
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Decision Making in Monopoly Using a Hybrid Deep Reinforcement Learning Approach. Bonjour, T.; Haliem, M.; Alsalem, A. O.; Thomas, S.; Li, H.; Aggarwal, V.; Kejriwal, M.; and Bhargava, B. K. IEEE Trans. Emerg. Top. Comput. Intell., 6(6): 1335–1344. 2022.
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Deep Learning Radiographic Assessment of Pulmonary Edema: Training with Serum Biomarkers. Huynh, J.; Masoudi, S.; Noorbakhsh, A.; Mahmoodi, A.; Kligerman, S.; Yen, A.; Jacobs, K.; Hahn, L.; Hasenstab, K.; and Pazzani, M. IEEE Access. 2022.
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Deep learning radiographic assessment of pulmonary edema: Training with serum biomarkers. Huynh, J.; Masoudi, S.; Noorbaksh, A.; Hasenstab, K.; Pazzani, M.; and Hsiao, A. In International Conference on Medical Imaging with Deep Learning, pages 590–604, 2022. PMLR
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Demonstration of quantum-limited discrimination of multicopy pure versus mixed states. Jagannathan, A.; Grace, M.; Brasher, O.; Shapiro, J. H; Guha, S.; and Habif, J. L Physical Review A, 105(3): 032446. 2022.
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Designing a strong test for measuring true common-sense reasoning. Kejriwal, M.; Santos, H.; Mulvehill, A. M.; and McGuinness, D. L. Nat. Mach. Intell., 4(4): 318–322. 2022.
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Diabetic Foot Ulcer Segmentation Using Convolutional and Transformer-Based Models. Hassib, M.; Ali, M.; Mohamed, A.; Torki, M.; and Hussein, M. In Yap, M. H.; Kendrick, C.; and Cassidy, B., editor(s), Diabetic Foot Ulcers Grand Challenge, 2022.
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Diagnostic accuracy of an artificial intelligence online engine in migraine: A multi-center study. Cowan, R. P.; Rapoport, A. M.; Blythe, J.; Rothrock, J.; Knievel, K.; Peretz, A. M.; Ekpo, E.; Sanjanwala, B. M.; and Woldeamanuel, Y. W. Headache: The Journal of Head and Face Pain, 62(7): 870-882. 2022.
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Differences in Monitoring the DNS Root Over IPv4 and IPv6. Saluja, T.; Heidemann, J.; and Pradkin, Y. In Proceedings of the National Symposium for NSF REU Research in Data Science, Systems, and Security , pages 194–203, Portland, OR, USA, December 2022. IEEE
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Do-Operation Guided Causal Representation Learning with Reduced Supervision Strength. Zhu, J.; Xie, H.; and AbdAlmageed, W. NeurIPS workshop on Causal Machine Learning for Real-World Impact. 2022.
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Does Wikidata Support Analogical Reasoning?. Ilievski, F.; Pujara, J.; and Shenoy, K. In Iberoamerican Knowledge Graphs and Semantic Web Conference, 2022.
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Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing. Xu, N.; Wang, F.; Li, B.; Dong, M.; and Chen, M. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022.
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Domain Adaptation for the Segmentation of Confidential Medical Images. Stan, S.; and Rostami, M. In British Machine Vision Conference, 2022.
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Dynamic graph reduction optimization technique for interdiction games. Blythe, J.; and Tregubov, A. In AAMAS Workshop on Optimization and Learning in Multiagent Systems, 2022.
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Electrically modulated thermal emissivity in multi-layer graphene devices. Habif, J.; Cronin, S.; Jagannathan, A.; Cai, Z.; and Weinstein, H. Bulletin of the American Physical Society. 2022.
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Electrically modulated thermal emissivity in multi-layer graphene devices. Haley Weinstein, Z. C.; and Habif, J. L. March 2022.
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Embedding physical flow functions into deep learning predictive models for improved production forecasting. Razak, S. M.; Cornelio, J.; Cho, Y.; Liu, H.; Vaidya, R.; and Jafarpour, B. In Unconventional Resources Technology Conference, 20–22 June 2022, pages 2098–2117, 2022. Unconventional Resources Technology Conference (URTeC)
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Emotion Regulation and Dynamics of Moral Concerns During the Early COVID-19 Pandemic. Guo, S.; Burghardt, K.; Rao, A.; and Lerman, K. arXiv preprint arXiv:2203.03608. 2022.
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Enabling Scientific Reproducibility through FAIR Data Management: An Ontology-driven Deep Learning Approach in the NeuroBridge Project. Wang, X.; Wang, Y.; Ambite, J. L.; Appaji, A.; Lander, H.; Moore, S. M.; Rajasekar, A. K.; Turner, J. A.; Turner, M. D.; Wang, L.; and Sahoo, S. S. In American Medical Informatics Association (AMIA) 2022 Annual Symposium, San Diego, California, 2022.
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Enriching Wikidata with Linked Open Data. Zhang, B.; Ilievski, F.; and Szekely, P. In Wikidata-22 workshop, 2022.
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Estimating Numbers Without Regression. Thawani, A.; Pujara, J.; and Kalyan, A. In NeurIPS workshop on MathAI, 2022.
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Evaluating the Feasibility of a Provably Secure Privacy-Preserving Entity Resolution Adaptation of PPJoin using Homomorphic Encryption. Ghai, T.; Yao, Y.; Ravi, S.; and Szekely, P. A. CoRR, abs/2208.07999. 2022.
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Evaluation of Transfer Learning Methods for Detecting Alzheimer's Disease with Brain MRI. Dhinagar, N. J; Thomopoulos, S. I; Rajagopalan, P.; Stripelis, D.; Ambite, J. L.; Ver Steeg, G.; and Thompson, P. M In International Symposium on Medical Information Processing and Analysis, 2022.
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Evaluation of Transfer Learning Methods for Detecting Alzheimer’s Disease with Brain MRI. Dhinagar, N.; Thomopoulos, S.; Rajagopalan, P.; Stripelis, D.; Ambite, J. L.; Steeg, G. V.; and Thompson, P. M In 18th International Symposium on Medical Information Processing and Analysis (SIPAIM), Valparaíso, Chile, 2022.
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Experimental Demonstration of an Optical Half-Adder of Two 4-PSK, 10-Gbit/s Channels using Nonlinear Wave Mixing. Song, H.; Zou, K.; Karapetyan, N.; Minoofar, A.; Zhou, H.; Su, X.; Almaiman, A.; Habif, J. L; Turd, M.; and Willner, A. E In 2022 IEEE Photonics Conference (IPC), pages 1–2, 2022. IEEE
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Experimental demonstration of remotely controlled tunable optical correlators of 10–50 Gbaud QPSK channels using linear and nonlinear components and laser-delivered powers. Alishahi, F.; Minoofar, A.; Fallahpour, A.; Zou, K.; Karapetyan, N.; Zhou, H.; Habif, J. L; Tur, M.; and Willner, A. E Optics Communications, 523: 128698. 2022.
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Expert-Informed, User-Centric Explanations for Machine Learning. Pazzani, M.; Soltani, S.; Kaufman, R.; Qian, S.; and Hsiao, A. Proceedings of the AAAI Conference on Artificial Intelligence, 36: 12280-12286. 06 2022.
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Explaining Deep Learning Models for Per-packet Encrypted Network Traffic Classification. Garcia, L.; Bartlett, G.; Ravi, S.; Ibrahim, H.; Hardaker, W.; and Kline, E. In IEEE International Symposium on Measurements & Networking, M&N 2022, Padua, Italy, July 18-20, 2022, pages 1–6, 2022. IEEE
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FETA: A benchmark for few-sample task transfer in open-domain dialogue. Albalak, A.; Tuan, Y.; Jandaghi, P.; Pryor, C.; Yoffe, L.; Ramachandran, D.; Getoor, L.; Pujara, J.; and Wang, W. Y. In Conference on Empirical Methods in Natural Language Processing, 2022.
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FaceBase: A Community-Driven Hub for Data-Intensive Research. Schuler, R.; Bugacov, A.; Hacia, J.; Ho, T.; Iwata, J.; Pearlman, L.; Samuels, B.; Williams, C.; Zhao, Z.; Kesselman, C.; and Chai, Y. Journal of Dental Research,002203452211079. July 2022.
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Failure Modes of Domain Generalization Algorithms. Galstyan, T.; Harutyunyan, H.; Khachatrian, H.; Ver Steeg, G.; and Galstyan, A. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
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Failure modes of domain generalization algorithms. Galstyan, T.; Harutyunyan, H.; Khachatrian, H.; Steeg, G. V.; and Galstyan, A. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 19077–19086, 2022.
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FedGCN: Convergence and Communication Tradeoffs in Federated Training of Graph Convolutional Networks. Yao, Y.; and Joe-Wong, C. CoRR, abs/2201.12433. 2022.
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Federated Deep Learning for Detecting Alzheimer’s Disease in Multi-Cohort Brain MRI. Stripelis, D.; Dhinagar, N. J; Sanchez Romero, R. V.; Thomopoulos, S. I; Thompson, P. M; and Ambite, J. L. In Alzheimer's Association International Conference, San Diego, California, 2022. Abstract + Presentation
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Federated Progressive Sparsification (Purge-Merge-Tune)+. Stripelis, D.; Gupta, U.; Steeg, G. V.; and Ambite, J. L. In Workshop on Federated Learning: Recent Advances and New Challenges (in Conjunction with NeurIPS 2022), New Orleans, Louisiana, 2022.
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Formal limitations of sample-wise information-theoretic generalization bounds. Harutyunyan, H.; Ver Steeg, G.; and Galstyan, A. In 2022 IEEE Information Theory Workshop (ITW), pages 440–445, 2022. IEEE
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Formal limitations of sample-wise information-theoretic generalization bounds. Harutyunyan, H.; Steeg, G. V.; and Galstyan, A. In 2022 IEEE Information Theory Workshop (ITW), pages 440-445, 2022.
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Functional Connectome of the Human Brain with Total Correlation. Li, Q.; Ver Steeg, G.; Yu, S.; and Malo, J. Entropy, 24(12): 1725. 2022.
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GOAL: Supporting General and Dynamic Adaptation in Computing Systems. Pervaiz, A.; Yang, Y. H.; Duracz, A.; Bartha, F.; Sai, R.; Imes, C.; Cartwright, R.; Palem, K.; Lu, S.; and Hoffmann, H. In Proceedings of the 2022 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software, of Onward! 2022, pages 16–32, New York, NY, USA, 2022. Association for Computing Machinery
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GRAPHCACHE: Message Passing as Caching for Sentence-Level Relation Extraction. Wang, Y.; Chen, M.; Zhou, W.; Cai, Y.; Liang, Y.; and Hooi, B. NAACL - Findings. 2022.
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Gate-tunable modulation of the optical properties of multilayer graphene by the reversible intercalation of ionic liquid anions. Cai, Z.; Aravind, I.; Weinstein, H.; Li, R.; Wu, J.; Wang, H.; Habif, J.; and Cronin, S. B Journal of Applied Physics, 132(9): 095102. 2022.
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Gate-tunable modulation of the optical properties of multilayer graphene by the reversible intercalation of ionic liquid anions. Zhi Cai, I. A.; and Cronin, S. B. Journal of Applied Physics, 132(9): 095102. 09 2022.
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Gendered citation patterns among the scientific elite. Lerman, K.; Yu, Y.; Morstatter, F.; and Pujara, J. Proceedings of the National Academy of Sciences, 119(40): e2206070119. 2022.
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Generating Representative Video Teleconferencing Traffic. DeAngelis, D.; Hussain, A.; Kocoloski, B.; Ardi, C.; and Schwab, S. In Proceedings of the 15th Workshop on Cyber Security Experimentation and Test, of CSET '22, pages 100–104, New York, NY, USA, 2022. Association for Computing Machinery
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Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER. Lee, D.; Kadakia, A.; Tan, K.; Agarwal, M.; Feng, X.; Shibuya, T.; Mitani, R.; Sekiya, T.; Pujara, J.; and Ren, X. In Association for Computational Linguistics, 2022.
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Harm-DoS: Hash Algorithm Replacement for Mitigating Denial-of-Service Vulnerabilities in Binary Executables. Weideman, N.; Wang, H.; Kann, T.; Zahabizadeh, S.; Wu, W.; Tandon, R.; Mirkovic, J.; and Hauser, C. In RAID, 2022.
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Harm-DoS: Hash Algorithm Replacement for Mitigating Denial-of-Service Vulnerabilities in Binary Executables. Weideman, N.; Wang, H.; Kann, T.; Zahabizadeh, S.; Wu, W.; Tandon, R.; Mikrovic, J.; and Hauser, C. In The 25th International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2022), 2022.
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Harvesting Planck radiation for free-space optical communications in the long-wave infrared band. Weinstein, H. A.; Cai, Z.; Cronin, S. B.; and Habif, J. L. Opt. Lett., 47(23): 6225–6228. Dec 2022.
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Having your Privacy Cake and Eating it Too: Platform-supported Auditing of Social Media Algorithms for Public Interest. Imana, B.; Korolova, A.; and Heidemann, J. Technical Report arXiv:2207.08773v2 [cs.CY], arXiv, July 2022. updated 2023-02-13
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Heterogeneously Integrated Quantum Chip Interposer Packaging. Kudalippalliyalil, R.; Chandran, S.; Jaiswal, A.; Wang, K. L; and Jacob, A. P In 2022 IEEE 72nd Electronic Components and Technology Conference (ECTC), pages 1869–1874, 2022. IEEE
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High-Speed Compact Look-Up Table with Input Select and Registers. Cho, Y.; and Widjaja, Y. 2022.
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I know what you did on Venmo: Discovering privacy leaks in mobile social payments. Tandon, R.; Charnsethikul, P.; Arora, I.; Murthy, D.; and Mirkovic, J. In Privacy Enhancing Technologies Symposium (PETS), 2022.
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IAB Workshop Report: Measuring Network Quality for End-Users. Hardaker, W.; and Shapira, O. RFC 9318, October 2022.
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Identifying Surprising Facts in Wikidata. Klein, N.; Ilievski, F.; Freedman, H.; and Szekely, P. In Wikidata-22 workshop, 2022.
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Identifying geopolitical event precursors using attention-based LSTMs. Hossain, K. T.; Harutyunyan, H.; Ning, Y.; Kennedy, B.; Ramakrishnan, N.; and Galstyan, A. Frontiers in Artificial Intelligence, 5. 2022.
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Image sensor incorporating an array of optically switchable magnetic tunnel junctions. Jaiswal, A. R; Jacob, A. P.; Bian, Y.; and Pritchard, D. C January~18 2022. US Patent 11,226,231
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Improved Operational Carbon Footprint Reduction by Using a Data-Driven Method in Chemical Treatment Candidate Selection. Yao, K.; Raghavenda, C. S.; Ashayeri, C.; Trivedi, D.; Patel, T.; Lal, M.; Row, R.; Aksehirli, A.; and Ershaghi, I. In September 2022. OnePetro
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Improving Explanations of Image Classification with Ensembles of Learners. Ahamed, A.; Alipour, K.; Kumar, S.; Soltani, S.; and Pazzani, M. In pages 1-16, 10 2022.
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Improving Explanations of Image Classifiers: Ensembles and Multitask Learning. Pazzani, M.; Soltani, S.; Kumar, S.; Alipour, K.; and Ahamed, A. International Journal of Artificial Intelligence & Applications, 13: 51-72. 11 2022.
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Improving Mutual Information Estimation with Annealed and Energy-Based Bounds. Brekelmans, R.; Huang, S.; Ghassemi, M.; Ver Steeg, G.; Grosse, R. B.; and Makhzani, A. In International Conference on Learning Representations (ICLR), 2022.
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Improving Stability of Fine-Tuning Pretrained Language Models via Component-Wise Gradient Norm Clipping. Yang, C.; and Ma, X. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4854–4859, Abu Dhabi, United Arab Emirates, December 2022. Association for Computational Linguistics
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Improving fidelity in video streaming experimentation on testbeds with a CDN. Ardi, C.; Hussain, A.; Collins, M.; and Schwab, S. In Proceedings of the 2nd International Workshop on Design, Deployment, and Evaluation of Network-Assisted Video Streaming, pages 1–7, 2022.
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In-band-telemetry-based path MTU size determination system. Karuppiah, K.; and Sankaran, G. C. August~2 2022. US Patent US11405325B2
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Increasing Model Generalizability for Unsupervised Visual Domain Adaptation. Rostami, M. In Conference on Lifelong Learning Agents, pages 281–293, 2022. PMLR
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Inferring topological transitions in pattern-forming processes with self-supervised learning. Abram, M.; Burghardt, K.; Ver Steeg, G.; Galstyan, A.; and Dingreville, R. npj Computational Materials, 8(1): 205. 2022.
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Infusing Knowledge from Wikipedia to Enhance Stance Detection. He, Z.; Mokhberian, N.; and Lerman, K. arXiv preprint arXiv:2204.03839. 2022.
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Integrated All-Optical Controlled Amplitude Modulator Using Laser Delivered Signals. Idres, S.; Fallahpour, A.; Willner, A. E; Habif, J.; and Hashemi, H. In CLEO: Applications and Technology, pages JTh3A–48, 2022. Optica Publishing Group
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Internet Outage Detection using Passive Analysis (poster abstract and poster). Enayet, A.; and Heidemann, J. Technical Report arxiv:2209.13767v3, USC/Information Sciences Institute, Nice, France, September 2022.
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Internet Outage Detection using Passive Analysis (poster abstract). Enayet, A.; and Heidemann, J. In Proceedings of the ACM Internet Measurement Conference, pages 772–773, Nice, France, October 2022. ACM
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Introducing Agile/DevSecOps into the Space Acquisition Environment. Orosz, M.; Duffy, B.; Charlton, C.; and Spear, L. C. 2022. Excerpt from the Proceedings of the Nineteenth Annual Acquisition Research Symposium
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Investigating the Benefits of Free-Form Rationales. Sun, J.; Swayamdipta, S.; May, J.; and Ma, X. In Findings of the Association for Computational Linguistics: EMNLP 2022, pages 5867–5882, Abu Dhabi, United Arab Emirates, December 2022. Association for Computational Linguistics
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Know Thy Strengths: Comprehensive Dialogue State Tracking Diagnostics. Cho, H.; Sankar, C.; Lin, C.; Sadagopan, K.; Shayandeh, S.; Celikyilmaz, A.; May, J.; and Beirami, A. In Findings of the Association for Computational Linguistics: EMNLP 2022, pages 5345–5359, Abu Dhabi, United Arab Emirates, December 2022. Association for Computational Linguistics
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Know Where You're Going: Meta-Learning for Parameter-Efficient Fine-tuning. Gheini, M.; Ma, X.; and May, J. 2022.
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Knowledge Graphs for Social Good: An Entity-Centric Search Engine for the Human Trafficking Domain. Kejriwal, M.; and Szekely, P. A. IEEE Trans. Big Data, 8(3): 592–606. 2022.
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Knowledge Graphs: A Practical Review of the Research Landscape. Kejriwal, M. Inf., 13(4): 161. 2022.
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Language Model Priming for Cross-Lingual Event Extraction. Fincke, S.; Agarwal, S.; Miller, S.; and Boschee, E. In Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022, pages 10627–10635, 2022. AAAI Press
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Large-scale agent-based simulations of online social networks. Murić, G.; Tregubov, A.; Blythe, J.; Abeliuk, A.; Choudhary, D.; Lerman, K.; and Ferrara, E. Autonomous Agents and Multi-Agent Systems, 36(2): 1–21. 2022.
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Learning Robust Representations Of Generative Models Using Set-Based Artificial Fingerprints. Song, H.; and AbdAlmageed, W. . 2022.
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Learning fairer interventions. He, Y.; Burghardt, K.; Guo, S.; and Lerman, K. In Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, pages 317–323, 2022.
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Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-Modal Knowledge Transfer. Jin, W.; Lee, D.; Zhu, C.; Pujara, J.; and Ren, X. In Association for Computational Linguistics, 2022.
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Leveraging change point detection to discover natural experiments in data. He, Y.; Burghardt, K. A; and Lerman, K. EPJ Data Science, 11(1): 49. 2022.
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MONet: Multi-scale Overlap Network for Duplication Detection in Biomedical Images. Sabir, E.; Nandi, S.; AbdAlmageed, W.; and Natarajan, P. IEEE International Conference on Image Processing. 2022.
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Machine Learning on Graphs: A Model and Comprehensive Taxonomy. Murphy, I. C. A. S. A. A. B. P. A. C. R. A. K. In Journal of Machine Learning Research, 2022.
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Machine Translation Robustness to Natural Asemantic Variation. Bremerman, J.; Ren, X.; and May, J. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 3517–3532, Abu Dhabi, United Arab Emirates, December 2022. Association for Computational Linguistics
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Making Common Fund Data More Findable: Catalyzing a Data Ecosystem. Charbonneau, A. L; Brady, A.; Czajkowski, K.; Aluvathingal, J.; Canchi, S.; Carter, R.; Chard, K.; Clarke, D. J B; Crabtree, J.; Creasy, H. H; D'Arcy, M.; Felix, V.; Giglio, M.; Gingrich, A.; Harris, R. M; Hodges, T. K; Ifeonu, O.; Jeon, M.; Kropiwnicki, E.; Lim, M. C W; Liming, R L.; Lumian, J.; Mahurkar, A. A; Mandal, M.; Munro, J. B; Nadendla, S.; Richter, R.; Romano, C.; Rocca-Serra, P.; Schor, M.; Schuler, R. E; Tangmunarunkit, H.; Waldrop, A.; Williams, C.; Word, K.; Sansone, S.; Ma'ayan, A.; Wagner, R.; Foster, I.; Kesselman, C.; Brown, C T.; and White, O. GigaScience, 11: giac105. November 2022.
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Managing Database-Application Co-Evolution in a Scientific Data Ecosystem. Schuler, R. E.; and Kesselman, C. In 2022 IEEE 18th International Conference on E-Science (e-Science), pages 214–224, Salt Lake City, Utah, USA, October 2022. IEEE
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Mega: Moving Average Equipped Gated Attention. Ma, X.; Zhou, C.; Kong, X.; He, J.; Gui, L.; Neubig, G.; May, J.; and Zettlemoyer, L. 2022.
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Merging Agile/DevSecOps into the US DoD Space Acquisition Environment—A Multiple Case Study. Orosz, M.; Spear, G.; Duffy, B.; and Charlton, C. INSIGHT, 25(4): 96–99. 2022.
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Mining Literature-Based Knowledge Graph for Predicting Combination Therapeutics: A COVID-19 Use Case. Hamed, A. A.; Jonczyk, J.; Alam, M. Z.; Deelman, E.; and Lee, B. S. In 2022 IEEE International Conference on Knowledge Graph (ICKG), pages 79-86, 2022.
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Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal. Gupta, U.; Dhamala, J.; Kumar, V.; Verma, A.; Pruksachatkun, Y.; Krishna, S.; Gupta, R.; Chang, K.; Ver Steeg, G.; and Galstyan, A. In Findings of the Association for Computational Linguistics: ACL 2022, pages 658–678, 2022.
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Modeling Human-Cyber Interactions in Safety-Critical Cyber-Physical/Industrial Control Systems. Ngo, S.; DeAngelis, D.; and Garcia, L. In 2022 IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems (MASS), pages 716–717, oct 2022. IEEE
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Modeling the Energy Efficiency of GEMM using Optical Random Access Memory. Zhang, B.; Jaiswal, A.; Mathew, C.; Lakkireddy, R. T.; Jacob, A. P; Wijeratne, S.; and Prasanna, V. In 2022 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–7, 2022. IEEE
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Molecular Dynamics Workflow Decomposition for Hybrid Classic/Quantum Systems. Cranganore, S. S.; De Maio, V.; Brandic, I.; Do, T. M. A.; and Deelman, E. In 2022 IEEE 18th International Conference on e-Science (e-Science), pages 346-356, 2022. Funding Acknowledgments: NSF 1664162 and 1741040
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Multimodal and Explainable Internet Meme Classification. Thakur, A. K.; Ilievski, F.; Sandlin, H.; Mermoud, A.; Sourati, Z.; Luceri, L.; and Tommasini, R. In AAAI Workshop on Artificial Intelligence for Social Good, 2022.
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MusMorph, a Database of Standardized Mouse Morphology Data for Morphometric Meta-Analyses. Devine, J.; Vidal-García, Marta; Liu, W.; Neves, A.; Lo Vercio, L. D.; Green, R. M.; Richbourg, H. A.; Marchini, M.; Unger, C. M.; Nickle, A. C.; Radford, B.; Young, N. M.; Gonzalez, P. N.; Schuler, R. E.; Bugacov, A.; Rolian, C.; Percival, C. J.; Williams, T.; Niswander, L.; Calof, A. L.; Lander, A. D.; Visel, A.; Jirik, F. R.; Cheverud, J. M.; Klein, O. D.; Birnbaum, R. Y.; Merrill, A. E.; Ackermann, R. R.; Graf, D.; Hemberger, M.; Dean, W.; Forkert, N. D.; Murray, S. A.; Westerberg, H.; Marcucio, R. S.; and Hallgrímsson, Benedikt Scientific Data, 9(1): 230. 2022.
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MusMorph, a Database of Standardized Mouse Morphology Data for Morphometric Meta-Analyses. Devine, J.; Vidal-Garcı́a, Marta; Liu, W.; Neves, A.; Lo Vercio, L. D.; Green, R. M.; Richbourg, H. A.; Marchini, M.; Unger, C. M.; Nickle, A. C.; Radford, B.; Young, N. M.; Gonzalez, P. N.; Schuler, R. E.; Bugacov, A.; Rolian, C.; Percival, C. J.; Williams, T.; Niswander, L.; Calof, A. L.; Lander, A. D.; Visel, A.; Jirik, F. R.; Cheverud, J. M.; Klein, O. D.; Birnbaum, R. Y.; Merrill, A. E.; Ackermann, R. R.; Graf, D.; Hemberger, M.; Dean, W.; Forkert, N. D.; Murray, S. A.; Westerberg, H.; Marcucio, R. S.; and Hallgrı́msson, Benedikt Scientific Data, 9(1): 230. 2022.
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NS3: Neuro-Symbolic Semantic Code Search. Arakelyan, S.; Hakhverdyan, A.; Allamanis, M.; Hauser, C.; Garcia, L.; and Ren, X. Advances in Neural Information Processing Systems. 2022.
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Neural Network Methods. Cornelio, J.; Razak, S.; Cho, Y.; and Jafarpour, B. 2022.
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New Frontiers of Information Extraction. Chen, M.; Huang, L.; Li, M.; Zhou, B.; Ji, H.; and Roth, D. In NAACL, 2022.
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NewsEdits: A News Article Revision Dataset and a Novel Document-Level Reasoning Challenge. Spangher, A.; Ren, X.; May, J.; and Peng, N. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 127–157, Seattle, United States, July 2022. Association for Computational Linguistics
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Noise Audits Improve Moral Foundation Classification. Mokhberian, N.; Hopp, F. R; Harandizadeh, B.; Morstatter, F.; and Lerman, K. In Proceedings of the 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2022.
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Non-volatile transistor embedded static random access memory (SRAM) cell. Jaiswal, A. R; Paul, B. C; and Soss, S. R October~18 2022. US Patent 11,475,941
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Novel Proposals for FAIR, Automated, Recommendable, and Robust Workflows. Abhinit, I.; Adams, E. K.; Alam, K.; Chase, B.; Deelman, E.; Gorenstein, L.; Hudson, S.; Islam, T.; Larson, J.; Lentner, G.; Mandal, A.; Navarro, J.; Nicolae, B.; Pouchard, L.; Ross, R.; Roy, B.; Rynge, M.; Serebrenik, A.; Vahi, K.; Wild, S.; Xin, Y.; da Silva, R. F.; and Filgueira, R. In IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS), nov 2022.
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Old but Gold: Prospecting TCP to Engineer and Live Monitor DNS Anycast. Moura, G. C. M.; Heidemann, J.; Hardaker, W.; Charnsethikul, P.; Bulten, J.; Ceron, J. M.; and Hesselman, C. In Proceedings of the Passive and Active Measurement Workshop, pages to appear, virtual, March 2022. Springer best paper award
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On the Empirical Association between Trade Network Complexity and Global Gross Domestic Product. Kejriwal, M.; and Luo, Y. CoRR, abs/2211.13117. 2022.
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Opponent Modeling in Negotiation Dialogues by Related Data Adaptation. Chawla, K.; Lucas, G.; May, J.; and Gratch, J. In Findings of the Association for Computational Linguistics: NAACL 2022, pages 661–674, Seattle, United States, July 2022. Association for Computational Linguistics
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Optical neuro-mimetic devices. Jaiswal, A. R; Jacob, A. P.; Bian, Y.; and Rakowski, M. December~27 2022. US Patent 11,537,866
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P2M-DeTrack: Processing-in-Pixel-in-Memory for Energy-efficient and Real-Time Multi-Object Detection and Tracking. Datta, G.; Kundu, S.; Yin, Z.; Mathai, J.; Liu, Z.; Wang, Z.; Tian, M.; Lu, S.; Lakkireddy, R. T; Schmidt, A.; Abd-Almageed, W.; Jacob, A. P; Jaiswal, A. R; and Beerel, P. A . 2022.
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PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales. Wang, P.; Chan, A.; Ilievski, F.; Chen, M.; and Ren, X. TSRML2022 workshop. 2022.
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PREP-UC: A Practical Replicated Persistent Universal Construction. Coccimiglio, G. C.; Brown, T. A.; and Ravi, S. In Agrawal, K.; and Lee, I. A., editor(s), SPAA '22: 34th ACM Symposium on Parallelism in Algorithms and Architectures, Philadelphia, PA, USA, July 11 - 14, 2022, pages 217–229, 2022. ACM
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PaCo: Preconditions Attributed to Commonsense Knowledge. Qasemi, E.; Ilievski, F.; Chen, M.; and Szekely, P. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing-Findings, pages 6781–6796, Abu Dhabi, United Arab Emirates, December 2022. Association for Computational Linguistics
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PaleoRec: A sequential recommender system for the annotation of paleoclimate datasets. Manety, S.; Khider, D.; Heiser, C.; McKay, N.; Emile-Geay, J.; and Routson, C. Environmental Data Science, 1: e4. 2022.
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Partisan Asymmetries in Exposure to Misinformation. Rao, A.; Morstatter, F.; and Lerman, K. arXiv preprint arXiv:2203.01350. 2022.
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Performance Modeling Sparse MTTKRP Using Optical Static Random Access Memory on FPGA. Wijeratne, S.; Jaiswal, A.; Jacob, A. P; Zhang, B.; and Prasanna, V. In 2022 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–7, 2022. IEEE
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Performance Weighting for Robust Federated Learning Against Corrupted Sources. Stripelis, D.; Abram, M.; and Ambite, J. L. arXiv:2205.01184. 2022.
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PipeEdge: Pipeline Parallelism for Large-Scale Model Inference on Heterogeneous Edge Devices. Hu, Y.; Imes, C.; Zhao, X.; Kundu, S.; Beerel, P. A.; Crago, S. P.; and Walters, J. P. In 2022 25th Euromicro Conference on Digital System Design (DSD), pages 298-307, 2022.
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Polymorphic Malware Behavior Through Network Trace Analysis. Deng, X.; and Mirkovic, J. In Proceedings of 14th International Conference on COMmunication Systems & NETworkS (COMSNETS), 2022.
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Predicted gene expression in ancestrally diverse populations leads to discovery of susceptibility loci for lifestyle and cardiometabolic traits. Highland, H. M; Wojcik, G. L; Graff, M.; Nishimura, K. K; Hodonsky, C. J; Baldassari, A. R; Cote, A. C; Cheng, I.; Gignoux, C. R; Tao, R.; Li, Y.; Boerwinkle, E.; Fornage, M.; Haessler, J.; Hindorff, L. A; Hu, Y.; Justice, A. E; Lin, B. M; Lin, D.; Stram, D. O; Haiman, C. A; Kooperberg, C.; Le Marchand, L.; Matise, T. C; Kenny, E. E; Carlson, C. S; Stahl, E. A; Avery, C. L; North, K. E; Ambite, J. L.; Buyske, S.; Loos, R. J; Peters, U.; Young, K. L; Bien, S. A; and Huckins, L. M Am J Hum Genet, 109(4): 669-679. Apr 2022.
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Prix-LM: Pretraining for Multilingual Knowledge Base Construction. Zhou, W.; Liu, F.; Vulić, I.; Collier, N.; and Chen, M. In ACL, pages 5412–5424, 2022.
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Proceedings of the 1st International Workshop on Knowledge Graph Generation From Text and the 1st International Workshop on Modular Knowledge co-located with 19th Extended Semantic Conference (ESWC 2022), Hersonissos, Greece, May 30th, 2022. Tiwari, S.; Mihindukulasooriya, N.; Osborne, F.; Kontokostas, D.; D'Souza, J.; Kejriwal, M.; Bozzato, L.; Carriero, V. A.; Hahmann, T.; and Zimmermann, A., editors. Volume 3184, of CEUR Workshop Proceedings.CEUR-WS.org. 2022.
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Quantum annealing with special drivers for circuit fault diagnostics. Leipold, H.; and Spedalieri, F. M. Scientific Reports, 12(1): 11691. 2022.
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Quantum bounds for discriminating mixed states generated by weak measurements and thermal noise. Wysocki, P.; Habif, J.; and McAskill, T. Bulletin of the American Physical Society. 2022.
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Remotely biasing, controlling, and monitoring a network routing node based on optically provided signals. Minoofar, A.; Alishahi, F.; Fallahpour, A.; Zou, K.; Karapetyan, N.; Habif, J.; and Willner, A. E In Metro and Data Center Optical Networks and Short-Reach Links V, volume 12027, pages 6–9, 2022. SPIE
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Reproducibility of the First Image of a Black Hole in the Galaxy M87 From the Event Horizon Telescope Collaboration. Patel, R.; Roachell, B.; Caíno-Lores, S.; Ketron, R.; Leonard, J.; Tan, N.; Vahi, K.; Brown, D. A.; Deelman, E.; and Taufer, M. Computing in Science & Engineering, 24(5): 42-52. 2022. Funding Acknowledgments: NSF 2041977, 1941443, 2041901, 1664162 and 2041878
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Research gaps and opportunities in precision nutrition: an NIH workshop report. Bruce Y Lee, J. M O.; Elizabeth J Parks, C. A. A.; Albert-László Barabási, S. K C.; Kayla de la Haye, V. B D.; Paul W Franks, E. M G.; Kristian J Hammond, E. C H.; Michael Hittle, E. H.; Abigail L Horn, R. S I.; Patricia L Mabry, S. M.; Corby K Martin, J. M.; Simin Nikbin Meydani, L. M N.; Marian L Neuhouser, B. P.; Nicolaas P Pronk, H. M R.; Suchi Saria, F. A. S.; Eran Segal, M. A. S.; Tim D Spector, L. V. H.; and Krista A Varady, V. S. V. American Journal of Clinical Nutrition. 2022.
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Residual Learning to Integrate Neural Network and Physics-Based Models for Improved Production Prediction in Unconventional Reservoirs. Cornelio, J.; Mohd Razak, S.; Cho, Y.; Liu, H.; Vaidya, R.; and Jafarpour, B. SPE Journal, 27(06): 3328–3350. 2022. Publisher: OnePetro
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Retweets Distort Exposure to Polarized Information. Rao, A.; Morstatter, F.; and Lerman, K. CoRR, abs/2211.16480. 2022.
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Reverse engineering and retrofitting robotic aerial vehicle control firmware using dispatch. Kim, T.; Ding, A.; Etigowni, S.; Sun, P.; Chen, J.; Garcia, L.; Zonouz, S.; Xu, D.; and Tian, D. In Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services, pages 69–83, 2022.
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Road network evolution in the urban and rural United States since 1900. Burghardt, K.; Uhl, J. H; Lerman, K.; and Leyk, S. Computers, Environment and Urban Systems, 95: 101803. 2022.
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Robust Conversational Agents against Imperceptible Toxicity Triggers. Mehrabi, N.; Beirami, A.; Morstatter, F.; and Galstyan, A. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022.
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Robust Quantification of Gender Disparity in Pre-Modern English Literature using Natural Language Processing. Nagaraj, A.; and Kejriwal, M. CoRR, abs/2204.05872. 2022.
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Row-wise tracking of reference generation for memory devices. Jaiswal, A. R; and Paul, B. C February~17 2022. US Patent App. 16/990,441
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SILA: a system for scientific image analysis. Moreira, D.; Cardenuto, J. P.; Shao, R.; Baireddy, S.; Cozzolino, D.; Gragnaniello, D.; Abd-Almageed, W.; Bestagini, P.; Tubaro, S.; Rocha, A.; Scheirer, W.; Verdoliva, L.; and Delp, E. Scientific Reports, 12(1): 18306. Oct 2022.
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SIM-SITU: A Framework for the Faithful Simulation of in situ Processing. Honoré, V.; Do, T. M. A.; Pottier, L.; Da Silva, R. F.; Deelman, E.; and Suter, F. In 2022 IEEE 18th International Conference on e-Science (e-Science), pages 182-191, 2022. Funding Acknowledgments: DOE DE-AC05-00OR22725
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SOSum: A Dataset of Stack Overflow Post Summaries. Kou, B.; Di, Y.; Chen, M.; and Zhang, T. In MSR, 2022.
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Samba: Identifying Inappropriate Videos for Young Children on YouTube. Binh, L.; Tandon, R.; Oinar, C.; Liu, J.; Durairaj, U.; Guo, J.; Zahabizadeh, S.; Ilango, S.; Tang, J.; Morstatter, F.; Woo, S.; and Mirkovic, J. In 31st ACM International Conference on Information & Knowledge Management (CKIM), 2022.
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Secure Federated Learning for Neuroimaging. Stripelis, D.; Gupta, U.; Saleem, H.; Dhinagar, N.; Ghai, T.; Sanchez, R.; Anastasiou, C.; Asghar, A.; Steeg, G. V.; Ravi, S.; Naveed, M.; Thompson, P. M.; and Ambite, J. L. CoRR, abs/2205.05249. 2022.
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Secure Publish-Process-Subscribe System for Dispersed Computing. Jin, W.; Krishnamachari, B.; Naveed, M.; Ravi, S.; Sanou, E.; and Wright, K. In 41st International Symposium on Reliable Distributed Systems, SRDS 2022, Vienna, Austria, September 19-22, 2022, pages 58–68, 2022. IEEE
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Securing 5G Slices using Homomorphic Encryption. Kline, E.; Ravi, S.; Cousins, D.; and Rv, S. In IEEE Wireless Communications and Networking Conference, WCNC 2022, Austin, TX, USA, April 10-13, 2022, pages 43–48, 2022. IEEE
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Segmenting Numerical Substitution Ciphers. Aldarrab, N.; and May, J. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 706–714, Abu Dhabi, United Arab Emirates, December 2022. Association for Computational Linguistics
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Selecting Clustering Algorithms for Identity-By-Descent Mapping. Shemirani, R.; Belbin, G. M; Burghardt, K.; Lerman, K.; Avery, C. L; Kenny, E. E; Gignoux, C. R; and Ambite, J. L. In PACIFIC SYMPOSIUM ON BIOCOMPUTING 2023: Kohala Coast, Hawaii, USA, 3–7 January 2023, pages 121–132, 2022. World Scientific
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Shared genetics drive mate selection. Burghardt, K.; Arpawong, T. E.; and Ambite, J. L. In Annual Meeting of the American Society of Human Genetics, Los Angeles, California, 2022. Abstract + Poster
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TILES-2019: A longitudinal physiologic and behavioral data set of medical residents in an intensive care unit. Yau, J. C; Girault, B.; Feng, T.; Mundnich, K.; Nadarajan, A.; Booth, B. M; Ferrara, E.; Lerman, K.; Hsieh, E.; and Narayanan, S. Scientific Data, 9(1): 1–17. 2022.
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The Challenges of Blockchain-Based Naming Systems for Malware Defenders. Randall, A.; Hardaker, W.; Voelker, G. M; Savage, S.; and Schulman, A. In 2022 APWG Symposium on Electronic Crime Research (eCrime), pages 1–14, 11 2022. IEEE
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The DARPA SEARCHLIGHT Dataset of Application Network Traffic. Ardi, C.; Aubry, C.; Kocoloski, B.; DeAngelis, D.; Hussain, A.; Troglia, M.; and Schwab, S. In Proceedings of the 15th Workshop on Cyber Security Experimentation and Test, of CSET '22, pages 59–64, New York, NY, USA, 2022. Association for Computing Machinery
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The FastMap Pipeline for Facility Location Problems. Thakoor, O.; Li, A.; Koenig, S.; Ravi, S.; Kline, E.; and Kumar, T. K. S. In Aydogan, R.; Criado, N.; Lang, J.; Sánchez-Anguix, V.; and Serramia, M., editor(s), PRIMA 2022: Principles and Practice of Multi-Agent Systems - 24th International Conference, Valencia, Spain, November 16-18, 2022, Proceedings, volume 13753, of Lecture Notes in Computer Science, pages 417–434, 2022. Springer
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The Multi-Tier Assistance, Training, and Computational Help (MATCH) Project, a Track 2 NSF ACCESS Initiative. Knuth, S. L.; Ma, J.; Adams, J. C.; Chalker, A.; Deelman, E.; Freeborn, L.; Gazula, V.; Goodhue, J.; Griffioen, J.; Hudak, D.; Pasquale, A.; Perkins, D.; Romanella, A.; and Rynge, M. The Journal of Computational Science Education, 13: 17–20. December 2022. Funding Acknowledgments: NSF 2138286
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The disinformation dozen: An exploratory analysis of covid-19 disinformation proliferation on twitter. Nogara, G.; Vishnuprasad, P. S.; Cardoso, F.; Ayoub, O.; Giordano, S.; and Luceri, L. In 14th ACM Web Science Conference 2022, pages 348–358, 2022.
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Towards Full-Stack Acceleration for Fully Homomorphic Encryption. Zhang, N.; Gamil, H.; Brinich, P.; Reynwar, B.; Badawi, A.; Neda, N.; Soni, D.; Canida, K.; Polyakov, Y.; Broderick, P.; Maniatakos, M.; Schmidt, A. G.; Franch, M.; Johnson, J.; Reagen, B.; Cousins, D. B.; and Franchetti, F. In IEEE High Performance Extreme Computing Conference (HPEC), 2022.
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Towards Sparsified Federated Neuroimaging Models via Weight Pruning. Stripelis, D.; Gupta, U.; Dhinagar, N.; Steeg, G. V.; Thompson, P. M.; and Ambite, J. L. In Albarqouni, S.; Bakas, S.; Bano, S.; Cardoso, M. J.; Khanal, B.; Landman, B. A.; Li, X.; Qin, C.; Rekik, I.; Rieke, N.; Roth, H.; Sheet, D.; and Xu, D., editor(s), Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health - Third MICCAI Workshop, DeCaF 2022, and Second MICCAI Workshop, FAIR 2022, Held in Conjunction with Medical Image Computing and Computer Assisted Intervention Society MICCAI Conference 2022, Singapore, September 18 and 22, 2022, Proceedings, volume 13573, of Lecture Notes in Computer Science, pages 141–151, 2022. Springer
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Transfer Learning via Representation Learning. Rostami, M.; He, H.; Chen, M.; and Roth, D. In Federated and Transfer Learning, pages 233–257. Springer, 2022.
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Understanding Substructures in Commonsense Relations in ConceptNet. Shen, K.; and Kejriwal, M. CoRR, abs/2210.01263. 2022.
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Understanding multimodal procedural knowledge by sequencing multimodal instructional manuals. Wu, T.; Spangher, A.; Alipoormolabashi, P.; Freedman, M.; Weischedel, R.; and Peng, N. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 4525–4542, 2022.
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Unequal impact and spatial aggregation distort covid-19 growth rates. Burghardt, K.; Guo, S.; and Lerman, K. Philosophical Transactions of the Royal Society A, 380(2214): 20210122. 2022.
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Unified Semantic Typing with Meaningful Label Inference. Huang, J. Y; Li, B.; Xu, J.; and Chen, M. NAACL. 2022.
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Untangling IP Protection via Learning and Structure. D. Chen, X. Z.; and French, M. March 2022.
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User-Centric Enhancements to Explainable AI Algorithms for Image Classification. Soltani, S.; Kaufman, R.; and Pazzani, M. In Proceedings of the 44th Annual Conference of the Cognitive Science Society, 2022.
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Utilizing Background Knowledge for Robust Reasoning over Traffic Situations. Zhang, J.; Ilievski, F.; Kollaa, A.; Francis, J.; Ma, K.; and Oltramari, A. Workshop on Knowledge Augmented Methods for NLP. 2022.
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Variation-aware Design Space Exploration of Mott Memristor-based Neuristors. Alam, S.; Islam, M. M.; Jaiswal, A.; Cady, N.; Rose, G.; and Aziz, A. In 2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), pages 68–73, 2022. IEEE
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VisDict: A Visual Dictionary in a Science Gateway. Gesing, S.; Deelman, E.; Ferreira da Silva, R.; Hildreth, M.; McDowell, M. A.; Meyers, N.; Taylor, I.; and Tain, D. Zenodo. September 2022. Funding Acknowledgments: NSF 2216851
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Visual Sudoku Puzzle Classification: A Suite of Collective Neuro-Symbolic Tasks. Augustine, E.; Pryor, C.; Dickens, C.; Pujara, J.; Wang, W. Y.; and Getoor, L. In Workshop on Neural-Symbolic Learning and Reasoning, 2022.
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Weakly Supervised Invariant Representation Learning Via Disentangling Known and Unknown Nuisance Factor. Zhu, J.; Xie, H.; and AbdAlmageed, W. European Conference on Computer Vision Workshop on VISION WITH BIASED OR SCARCE DATA. 2022.
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WfCommons: A framework for enabling scientific workflow research and development. Coleman, T.; Casanova, H.; Pottier, L.; Kaushik, M.; Deelman, E.; and Ferreira da Silva, R. Future Generation Computer Systems, 128: 16-27. 2022. Funding Acknowledgments: NSF 1923539, 2016610, 2016619, 2103489, 2103508, 1923621, 1664162, DOE DE-SC0012636
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Where Does Bias in Common Sense Knowledge Models Come From. Melotte, S.; Ilievski, F.; Zhang, L.; Malte, A.; Mutha, N.; Morstatter, F.; and Mehrabi, N. IEEE Internet Computing. 2022.
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Workflow Anomaly Detection with Graph Neural Networks. Jin, H.; Raghavan, K.; Papadimitriou, G.; Wang, C.; Mandal, A.; Krawczuk, P.; Pottier, L.; Kiran, M.; Deelman, E.; and Balaprakash, P. In 2022 IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS), pages 35-42, 2022. Funding Acknowledgments: DOE DE-SC0022328, DE-AC02-06CH11357
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Xatu: Boosting Existing DDoS Detection Systems Using Auxiliary Signals. Xu, Z.; Ramanathan, S.; Ruth, A.; Mirkovic, J.; and Yu, M. In CoNext, 2022.
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Zero-Shot Cross-Lingual Sequence Tagging as Seq2Seq Generation for Joint Intent Classification and Slot Filling. Wang, F.; Huang, K.; Kumar, A.; Galstyan, A.; Ver Steeg, G.; and Chang, K. In Proceedings of the Massively Multilingual Natural Language Understanding Workshop (MMNLU-22), pages 53–61, 2022.
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Zero-shot image classification using coupled dictionary embedding. Rostami, M.; Kolouri, S.; Murez, Z.; Owechko, Y.; Eaton, E.; and Kim, K. Machine Learning with Applications, 8: 100278. 2022.
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2021 (415)
" Stop Asian Hate!": Refining Detection of Anti-Asian Hate Speech During the COVID-19 Pandemic. Nghiem, H.; and Morstatter, F. arXiv preprint arXiv:2112.02265. 2021.
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"Don't quote me on that": Finding Mixtures of Sources in News Articles. Spangher, A.; Peng, N.; May, J.; and Ferrara, E. arXiv preprint arXiv:2104.09656. 2021.
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#Election2020: The First Public Twitter Dataset on the 2020 US Presidential Election. Chen, E.; Deb, A.; and Ferrara, E. Journal of Computational Social Science. 2021.
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#JusticeForGeorgeFloyd: How Instagram Facilitated the 2020 Black Lives Matter Protests. Chang, H. H.; Richardson, A.; and Ferrara, E. . 2021.
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2021 SciTech and Friends Research Symposium. Hayes, C.; Kulkarni, C.; Milman, E. D.; Okunloye, O.; Olshansky, A.; Oruche, R.; Kee, K.; Moreira, P. C. S.; Vardeman, C.; Coleman, T.; Do, T. M. A.; Jain, A.; Krawczuk, P.; Lam, K.; Nagarkar, S.; Papadimitriou, G.; Subramanya, S.; White, R.; Whitcup, W.; Ferreira da Silva, R.; and Deelman, E. May 2021.
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3-Regular 3-XORSAT Planted Solutions Benchmark of Classical and Quantum Heuristic Optimizers. Kowalsky, M.; Albash, T.; Hen, I.; and Lidar, D. A. arXiv e-prints,arXiv:2103.08464. March 2021.
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3D Convolutional Neural Networks for Classification of Alzheimer's and Parkinson's Disease with T1-Weighted Brain MRI. Dhinagar, N. J.; Thomopoulos, S. I.; Owens-Walton, C.; Stripelis, D.; Ambite, J. L.; Steeg, G. V.; Weintraub, D.; Cook, P.; McMillan, C.; and Thompson, P. M. In 17th International Symposium on Medical Information Processing and Analysis (SIPAIM), Campinas, Brazil, 2021.
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3D Convolutional Neural Networks for Classification of Alzheimer's and Parkinson's Disease with T1-Weighted Brain MRI. Dhinagar, N. J.; Thomopoulos, S. I.; Owens-Walton, C.; Stripelis, D.; Ambite, J. L.; Ver Steeg, G.; Weintraub, D.; Cook, P.; McMillan, C.; and Thompson, P. M. In International Symposium on Medical Information Processing and Analysis (SIPAIM), 2021.
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A Case Study in Scientific Reproducibility from the Event Horizon Telescope (EHT). Ketron, R.; Leonard, J.; Roachell, B.; Patel, R.; White, R.; Caíno-Lores, S.; Tan, N.; Miles, P.; Vahi, K.; Deelman, E.; Brown, D.; and Taufer, M. In 2021 IEEE 17th International Conference on eScience (eScience), pages 249-250, 2021. Funding Acknowledgments: NSF 2041977, 2041901, 2041878
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A Community Roadmap for Scientific Workflows Research and Development. Ferreira da Silva, R.; Casanova, H.; Chard, K.; Altintas, I.; Badia, R. M; Balis, B.; Coleman, T.; Coppens, F.; Di Natale, F.; Enders, B.; Fahringer, T.; Filgueira, R.; Fursin, G.; Garijo, D.; Goble, C.; Howell, D.; Jha, S.; Katz, D. S.; Laney, D.; Leser, U.; Malawski, M.; Mehta, K.; Pottier, L.; Ozik, J.; Peterson, J. L.; Ramakrishnan, L.; Soiland-Reyes, S.; Thain, D.; and Wolf, M. In 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), pages 81–90, 2021.
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A Directed, Bi-Populated Preferential Attachment Model with Applications to Analyzing the Glass Ceiling Effect. Nettasinghe, B.; Alipourfard, N.; Krishnamurthy, V.; and Lerman, K. arXiv preprint arXiv:2103.12149. 2021.
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A Geo-Tagged COVID-19 Twitter Dataset for 10 North American Metropolitan Areas over a 255-Day Period. Melotte, S.; and Kejriwal, M. Data, 6(6): 64. 2021.
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A Graph-Based Approach for Inferring Semantic Descriptions of Wikipedia Tables. Vu, B.; Knoblock, C. A.; Szekely, P.; Pham, M.; and Pujara, J. In Hotho, A.; Blomqvist, E.; Dietze, S.; Fokoue, A.; Ding, Y.; Barnaghi, P.; Haller, A.; Dragoni, M.; and Alani, H., editor(s), The Semantic Web – ISWC 2021, pages 304–320, 2021. Springer International Publishing
A Graph-Based Approach for Inferring Semantic Descriptions of Wikipedia Tables [pptx]Slides link bibtex abstract
A Graph-based Approach for Inferring Semantic Descriptions of Wikipedia Tables. Vu, B.; Knoblock, C.; Szekely, P.; Pujara, J.; and Pham, M. In International Semantic Web Conference, 2021.
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A Grounded Approach to Modeling Generic Knowledge Acquisition. Beser, D.; Cecil, J.; Freedman, M.; Lichtefeld, J. A; Marcus, M.; Payne, S. R.; and Yang, C. In Proceedings of the Annual Meeting of the Cognitive Science Society, volume 43, 2021.
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A Hybrid Probabilistic Approach for Table Understanding. Sun, K.; Rayudu, H.; and Pujara, J. In Conference on Artificial Intelligence (AAAI), 2021.
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A Label Correction Algorithm Using Prior Information for Automatic and Accurate Geospatial Object Recognition. Duan, W.; Chiang, Y.; Leyk, S.; Uhl, J. H; and Knoblock, C. A In 2021 IEEE International Conference on Big Data (Big Data), pages 1604–1610, 2021. IEEE
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A Lightweight GPU Monitoring Extension for Pegasus Kickstart. Papadimitriou, G.; and Deelman, E. In 2021 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS), 2021. Funding Acknowledgments: DOE DE-SC0012636, NSF 1664162
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A Lightweight Method for Evaluating In Situ Workflow Efficiency. Do, T. M. A.; Pottier, L.; Caíno-Lores, S.; Ferreira da Silva, R.; Cuendet, M. A.; Weinstein, H.; Estrada, T.; Taufer, M.; and Deelman, E. Journal of Computational Science, 48: 101259. 2021. Funding Acknowledgments: NSF 1741040, DOE DE-SC0012636
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A Performance Characterization of Scientific Machine Learning Workflows. Krawczuk, P.; Papadimitriou, G.; Tanaka, R.; Do, T. M. A.; Subramany, S.; Nagarkar, S.; Jain, A.; Lam, K.; Mandal, A.; Pottier, L.; and Deelman, E. In 2021 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS), pages 58-65, 2021. Funding Acknowledgments: DOE DE-SC0012636, DE-SC0022328, NSF 1664162
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A Python Package to Detect Anti-Vaccine Users on Twitter. Schmitz, M.; Muric, G.; and Burghardt, K. . oct 2021.
A Python Package to Detect Anti-Vaccine Users on Twitter [link]Paper link bibtex
A Roadmap to Robust Science for High-throughput Applications: The Developers’ Perspective. Taufer, M.; Deelman, E.; Silva, R. F. d.; Estrada, T.; Hall, M.; and Livny, M. In 2021 IEEE International Conference on Cluster Computing (CLUSTER), pages 807-808, 2021. Funding Acknowledgments: NSF 2028881, 2028923, 2028930, 2028955, 2028956
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A Roadmap to Robust Science for High-throughput Applications: The Scientists’ Perspective. Taufer, M.; Deelman, E.; da Silva, R. F.; Estrada, T.; and Hall, M. In 2021 IEEE 17th International Conference on eScience (eScience), pages 247-248, 2021. Funding Acknowledgments: NSF 2028881, 2028923, 2028930, 2028955, 2028956
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A Study of the Quality of Wikidata. Shenoy, K.; Ilievski, F.; Garijo, D.; Schwabe, D.; and Szekely, P. Journal of Web Semantics, (Community-based Knowledge Bases). 2021.
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A continuous indicator of food environment nutritional quality. Liu, I. C; de la Haye, K.; Abeliuk, A.; and Horn, A. L medRxiv,2021–11. 2021.
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A meta-engine for building domain-specific search engines. Kejriwal, M. Softw. Impacts, 7: 100052. 2021.
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A multi-agent simulator for generating novelty in monopoly. Kejriwal, M.; and Thomas, S. Simul. Model. Pract. Theory, 112: 102364. 2021.
A multi-agent simulator for generating novelty in monopoly [link]Paper doi link bibtex
A reproduction of Apple's bi-directional LSTM models for language identification in short strings. Toftrup, M.; Asger Sørensen, S.; Ciosici, M. R.; and Assent, I. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 36–42, Online, April 2021. Association for Computational Linguistics
A reproduction of Apple's bi-directional LSTM models for language identification in short strings [link]Paper doi link bibtex abstract
A survey of human judgement and quantitative forecasting methods. Zellner, M.; Abbas, A. E; Budescu, D. V; and Galstyan, A. Royal Society open science, 8(2): 201187. 2021.
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A survey on bias and fairness in machine learning. Mehrabi, N.; Morstatter, F.; Saxena, N.; Lerman, K.; and Galstyan, A. ACM Computing Surveys (CSUR), 54(6): 1–35. 2021.
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ADAM: A Sandbox for Implementing Language Learning. Gabbard, R. D; Beser, D.; Lichtefeld, J.; Cecil, J.; Marcus, M. P.; Payne, S.; Yang, C. D.; and Freedman, M. arXiv Preprint: https://arxiv.org/abs/2105.02263, may 2021.
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AESOP: Paraphrase Generation with Adaptive Syntactic Control. Sun, J.; Ma, X.; and Peng, N. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP-2021), Punta Cana, Dominican Republic, November 2021.
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AMPPERE: A Universal Abstract Machine for Privacy-Preserving Entity Resolution Evaluation. Yao, Y.; Ghai, T.; Ravi, S.; and Szekely, P. A. In Demartini, G.; Zuccon, G.; Culpepper, J. S.; Huang, Z.; and Tong, H., editor(s), CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021, pages 2394–2403, 2021. ACM
AMPPERE: A Universal Abstract Machine for Privacy-Preserving Entity Resolution Evaluation [link]Paper doi link bibtex
Adversarial attack and defense strategies for deep speaker recognition systems. Jati, A.; Hsu, C.; Pal, M.; Peri, R.; AbdAlmageed, W.; and Narayanan, S. Computer Speech & Language, 68: 101199. 2021.
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Adversarial defense for deep speaker recognition using hybrid adversarial training. Pal, M.; Jati, A.; Peri, R.; Hsu, C.; AbdAlmageed, W.; and Narayanan, S. IEEE International Conference on Acoustics, Speech and Signal Processing. 2021.
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Aerogel: Lightweight Access Control Framework for WebAssembly-Based Bare-Metal IoT Devices. Liu, R.; Garcia, L.; and Srivastava, M. . 2021.
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Agenda Pushing in Email to Thwart Phishing. Cho, H.; Bartlett, G.; and Freedman, M. In Proceedings of the 1st Workshop on Document-grounded Dialogue and Conversational Question Answering (DialDoc 2021), pages 113–118, 2021.
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An analysis of observation length requirements for machine understanding of human behaviors from spoken language. Nallan Chakravarthula, S.; Baucom, B. R.; Narayanan, S.; and Georgiou, P. Computer Speech and Language, 66: 101162. Jan 2021.
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An empirical study of emoji usage on Twitter in linguistic and national contexts. Kejriwal, M.; Wang, Q.; Li, H.; and Wang, L. Online Soc. Networks Media, 24: 100149. 2021.
An empirical study of emoji usage on Twitter in linguistic and national contexts [link]Paper doi link bibtex
An evaluation and annotation methodology for product category matching in e-commerce. Kejriwal, M.; Shen, K.; Ni, C.; and Torzec, N. Comput. Ind., 131: 103497. 2021.
An evaluation and annotation methodology for product category matching in e-commerce [link]Paper doi link bibtex
An integral-free representation of the Dyson series using divided differences. Kalev, A.; and Hen, I. , 23(10): 103035. oct 2021.
An integral-free representation of the Dyson series using divided differences [link]Paper doi link bibtex
An integrated risk and epidemiological model to estimate risk-stratified COVID-19 outcomes for Los Angeles County: March 1, 2020—March 1, 2021. Horn, A. L; Jiang, L.; Washburn, F.; Hvitfeldt, E.; de la Haye, K.; Nicholas, W.; Simon, P.; Pentz, M.; Cozen, W.; Sood, N.; and others Plos one, 16(6): e0253549. 2021.
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Analyzing Race and Citizenship Bias in Wikidata. Shaik, Z.; Ilievski, F.; and Morstatter, F. In 2021 IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems (MASS), pages 665–666, 2021. IEEE
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Analyzing Race and Country of Citizenship Bias in Wikidata. Shaik, Z.; Ilievski, F.; and Morstatter, F. arXiv preprint arXiv:2108.05412. 2021.
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Anomaly Detection in Scientific Workflows using End-to-End Execution Gantt Charts and Convolutional Neural Networks. Krawczuk, P.; Papadimitriou, G.; Nagarkar, S.; Kiran, M.; Mandal, A.; and Deelman, E. In Practice and Experience in Advanced Research Computing, of PEARC '21, New York, NY, USA, 2021. Association for Computing Machinery Funding Acknowledgments: DOE DESC0012636
Anomaly Detection in Scientific Workflows using End-to-End Execution Gantt Charts and Convolutional Neural Networks [link]Paper doi link bibtex
Anycast in Context: A Tale of Two Systems. Koch, T.; Li, K.; Ardi, C.; Katz-Bassett, E.; Calder, M.; and Heidemann, J. In Proceedings of the ACM SIGCOMM Conference , Virtual, August 2021. ACM
Anycast in Context: A Tale of Two Systems [link]Paper doi link bibtex abstract
Apodized Distributed Bragg Reflector (DBR) Bends for Compact cWDM Filter. Gebregiorgis, Y.; Chandran, S.; Papadovasilakis, M.; Bian, Y.; Rakowski, M.; Afzal, F. O; Augur, R.; and Viegas, J. In Integrated Photonics Research, Silicon and Nanophotonics, pages IM1B–5, 2021. Optical Society of America
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Arabic Scene Text Recognition in the Deep Learning Era: Analysis on a Novel Dataset. Hassan, H.; El-Mahdy, A.; and Hussein, M. E. IEEE Access, 9: 107046–107058. 2021.
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Array of integrated pixel and memory cells for deep in-sensor, in-memory computing. Jaiswal, A.; and Jacob, A. P. June~10 2021. US Patent App. 16/705,434
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Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making. Gil, Y.; Garijo, D.; Khider, D.; Knoblock, C. A.; Ratnakar, V.; Osorio, M.; Vargas, H.; Pham, M.; Pujara, J.; Shbita, B.; Vu, B.; Chiang, Y.; Feldman, D.; Lin, Y.; Song, H.; Kumar, V.; Khandelwal, A.; Steinbach, M.; Tayal, K.; Xu, S.; Pierce, S. A.; Pearson, L.; Hardesty-Lewis, D.; Deelman, E.; Silva, R. F. D.; Mayani, R.; Kemanian, A. R.; Shi, Y.; Leonard, L.; Peckham, S.; Stoica, M.; Cobourn, K.; Zhang, Z.; Duffy, C.; and Shu, L. ACM Transactions on Interactive Intelligent Systems, 11(2): 11:1–11:49. July 2021.
Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making [link]Paper doi link bibtex abstract
Assessing Resource Provisioning and Allocation of Ensembles of In Situ Workflows. Do, T. M. A.; Pottier, L.; Ferreira da Silva, R.; Caíno-Lores, S.; Taufer, M.; and Deelman, E. In 50th International Conference on Parallel Processing Workshop, of ICPP Workshops '21, New York, NY, USA, 2021. Association for Computing Machinery Funding Acknowledgments: NSF 1741040, DOE SC0012636
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Assessment of Combined Brain-Face Morphology in Youth with Congenital Adrenal Hyperplasia due to 21-Hydroxylase Deficiency. Mirzaalian, H.; Hertingand, M.; Lewinger, J.; Ahmed, S.; Fraga, N. R.; Randolph, L.; Geffner, M. E.; Kohli, S.; AbdAlmageed, W.; and Kim, M. S. Pediatric Endocrine Society, 4(Supplement_1). 2021.
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Attributing Fair Decisions with Attention Interventions. Mehrabi, N.; Gupta, U.; Morstatter, F.; Steeg, G. V.; and Galstyan, A. arXiv preprint arXiv:2109.03952. 2021.
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Auditing Algorithmic Bias on Twitter. Bartley, N.; Abeliuk, A.; Ferrara, E.; and Lerman, K. In 13th ACM Web Science Conference 2021, pages 65–73, 2021.
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Auditing for Discrimination in Algorithms Delivering Job Ads. Imana, B.; Korolova, A.; and Heidemann, J. Technical Report arXiv:2102.07433v2 [cs.NI], arXiv, April 2021.
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Augmented Memory Computing: Dynamically Augmented SRAM Storage for Data Intensive Applications. Sheshadri, H.; Vijayakumar, S.; Jacob, A.; and Jaiswal, A. arXiv preprint arXiv:2109.03022. 2021.
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Authors’ Response to Peer Reviews of “Social Media Polarization and Echo Chambers in the Context of COVID-19: Case Study”. Jiang, J.; Ren, X.; Ferrara, E.; and others JMIRx Med, 2(3): e32266. 2021.
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AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction. Lee, D.; Selvam, R. K.; Sarwar, S. M.; Lin, B. Y.; Agarwal, M.; Morstatter, F.; Pujara, J.; Boschee, E.; Allan, J.; and Ren, X. In NAACL Workshop on Trustworthy Natural Langugage Processing, 2021. \textbfWinner of Best Paper award
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BD2K Training Coordinating Center's ERuDIte: The Educational Resource Discovery Index for Data Science. Ambite, J. L.; Fierro, L.; Gordon, J.; Burns, G. A. P. C.; Geigl, F.; Lerman, K.; and Van Horn, J. D. IEEE Transactions on Emerging Topics in Computing, 9(1): 316-328. 2021.
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Bell-type games on deformable manifolds. Oaknin, D. H.; Kalev, A.; and Hen, I. 2021.
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Bin2vec: learning representations of binary executable programs for security tasks. Arakelyan, S.; Arasteh, S.; Hauser, C.; Kline, E.; and Galstyan, A. Cybersecurity, 4(1): 1–14. 2021.
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BioFors: A Large Biomedical Image Forensics Dataset. Sabir, E.; Nandi, S.; Abd-Almageed, W.; and Natarajan, P. International Conference on Computer Vision. 2021.
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Blueprint: Cyberinfrastructure Center of Excellence. Deelman, E.; Mandal, A.; Murillo, A. P.; Nabrzyski, J.; Pascucci, V.; Ricci, R.; Baldin, I.; Sons, S.; Christopherson, L.; Vardeman, C.; Ferreira da Silva, R.; Wyngaard, J.; Petruzza, S.; Rynge, M.; Vahi, K.; Whitcup, W. R.; Drake, J.; and Scott, E. Zenodo. 2021.
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Building Reproducible Video Streaming Traffic Generators. Ardi, C.; Hussain, A.; and Schwab, S. In Cyber Security Experimentation and Test Workshop, pages 91–95, 2021.
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Building Survivable Software Systems by Automatically Adapting to Sensor Changes. Shi, Y.; Li, A.; Kumar, T. K. S.; and Knoblock, C. A. Applied Sciences, 11(11). 2021.
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CHiSEL: a user-oriented framework for simplifing database evolution. Schuler, R.; and Kesselman, C. Distributed and Parallel Databases, 39(2): 483–543. June 2021.
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COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences. Singh, S.; Wen, N.; Hou, Y.; Alipoormolabashi, P.; Wu, T.; Ma, X.; and Peng, N. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 883–898, August 2021. Association for Computational Linguistics
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COVID-19 Infodemiology at Planetary Scale: Charting the Information and Misinformation Landscape to Characterize Misinfodemics Spread on Social Media (Preprint). Chen, E.; Jiang, J.; Chang, H. H.; Muric, G.; and Ferrara, E. JMIR Infodemiology. jul 2021.
COVID-19 Infodemiology at Planetary Scale: Charting the Information and Misinformation Landscape to Characterize Misinfodemics Spread on Social Media (Preprint) [link]Paper doi link bibtex
COVID-19 Vaccine Hesitancy on Social Media: Building a Public Twitter Data Set of Antivaccine Content, Vaccine Misinformation, and Conspiracies. Muric, G.; Wu, Y.; and Ferrara, E. JMIR Public Health Surveill 2021;7(11):e30642 https://publichealth.jmir.org/2021/11/e30642, 7(11): e30642. nov 2021.
COVID-19 Vaccine Hesitancy on Social Media: Building a Public Twitter Data Set of Antivaccine Content, Vaccine Misinformation, and Conspiracies [link]Paper doi link bibtex
COVID-19 misinformation and the 2020 US presidential election. Chen, E.; Chang, H.; Rao, A.; Lerman, K.; Cowan, G.; and Ferrara, E. The Harvard Kennedy School Misinformation Review. 2021.
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COVID-19 vaccine hesitancy is positively associated with affective wellbeing. Kejriwal, M.; and Shen, K. 3 2021.
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CSKG: The CommonSense Knowledge Graph. Ilievski, F.; Szekely, P.; and Zhang, B. In Extended Semantic Web Conference (ESWC), 2021.
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CaSiNo: A Corpus of Campsite Negotiation Dialogues for Automatic Negotiation Systems. Chawla, K.; Ramirez, J.; Clever, R.; Lucas, G.; May, J.; and Gratch, J. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 3167–3185, Online, June 2021. Association for Computational Linguistics
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Can Sequence-to-Sequence Models Crack Substitution Ciphers?. Aldarrab, N.; and May, J. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 7226–7235, Online, August 2021. Association for Computational Linguistics
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Can an Artificial Intelligence Online Engine Diagnose Migraine as well as a Headache Specialist using a Semi-Structured Interview? A Multi-Center, Cross-Sectional Study. Cowan, R; Rapoport, A; Blythe, J; Rothrick, J; Knievel, K; Peretz, A; Ekpo, E; Sanjanwala, B; and Woldeamanuel, Y In CEPHALALGIA, volume 41, pages 280–280, 2021. SAGE PUBLICATIONS LTD 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
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Canary: An FPGA Assurance Plugin for Vendor EDA Tools. Glick, D.; Schmidt, A. G.; Nifong, J.; Haroldsen, T.; Monson, J.; Ruiz, E. M.; and French, M. In Government Microcircuit Applications and Critical Technology Conference (GOMACTech), 2021.
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Canary: An FPGA Assurance Plugin for Vendor EDA Tools. D. Glick, A. S.; and French, M. March 2021.
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Combining Remote-Sensing-Derived Data and Historical Maps for Long-Term Back-Casting of Urban Extents. Uhl, J. H.; Leyk, S.; Li, Z.; Duan, W.; Shbita, B.; Chiang, Y.; and Knoblock, C. A. Remote Sensing, 13(18). 2021.
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DeepSQA: Understanding Sensor Data via Question Answering. Xing, T.; Garcia, L.; Cerutti, F.; Kaplan, L.; Preece, A.; and Srivastava, M. In Proceedings of the International Conference on Internet-of-Things Design and Implementation, pages 106–118, 2021.
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Defending Web Servers Against Flash Crowd Attacks. Tandon, R.; Palia, A.; Ramani, J.; Paulsen, B.; Bartlett, G.; and Mirkovic, J. In Sako, K.; and Tippenhauer, N. O., editor(s), Applied Cryptography and Network Security, pages 338–361, Cham, 2021. Springer International Publishing
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Demonstration of a Tunable Optical Correlation of a 10–15 Gbaud QPSK Data Signal using Nonlinear Wave Mixing at a Remotely Controlled Node. Alishahi, F.; Zou, K.; Minoofar, A.; Zhou, H.; Tur, M.; Habif, J. L; and Willner, A. E In 2021 IEEE Photonics Conference (IPC), pages 1–2, 2021. IEEE
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Deploying per-packet telemetry in a long-haul network: the AmLight use case. Bezerra, J.; Brito, I.; Quintana, A.; Ibarra, J.; Chergarova, V.; Frez, R.; Morgan, H.; LeClerc, M.; and Paneri, A. In 2021 IEEE Workshop on Innovating the Network for Data-Intensive Science (INDIS), pages 44–49, 2021. IEEE
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Design and Performance Evaluation of Multispectral Sensing Algorithms on CPU, GPU, and FPGA. Menon, V. V; Siddiqui, S. A.; Rao, S.; Schmidt, A. G.; French, M.; Chirayath, V.; and Li, A. In IEEE Aerospace Conference, 2021.
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Designing for Tussle in Encrypted DNS. Hounsel, A.; Schmitt, P.; Borgolte, K.; and Feamster, N. In Proceedings of the Twentieth ACM Workshop on Hot Topics in Networks, of HotNets '21, November 2021.
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Detecting cryptocurrency pump-and-dump frauds using market and social signals. Nghiem, H.; Muric, G.; Morstatter, F.; and Ferrara, E. Expert Systems with Applications, 182: 115284. 2021.
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Detection and Continual Learning of Novel Face Presentation Attacks. Rostami, M.; Spinoulas, L.; Hussein, M.; and Abd-Almageed, W. International Conference on Computer Vision. 2021.
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Detection and Continual Learning of Novel Face Presentation Attacks. Rostami, M.; Spinoulas, L.; Hussein, M.; Mathai, J.; and Abd-Almageed, W. In pages 14851–14860, 2021.
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Detection and localization of near infrared lasers from atmospheric laser scattering. Rittenbach, A.; Finnerty, C.; and Habif, J. L. In Buller, G. S.; Hollins, R. C.; Lamb, R. A.; and Laurenzis, M., editor(s), Emerging Imaging and Sensing Technologies for Security and Defence VI, volume 11868, pages 22 – 32, 2021. International Society for Optics and Photonics, SPIE
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Determining quantum Monte Carlo simulability with geometric phases. Hen, I. Phys. Rev. Research, 3: 023080. Apr 2021.
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Digital civic participation and misinformation during the 2020 Taiwanese presidential election. Chang, H. H.; Haider, S.; and Ferrara, E. Media and Communication, 9(1): 144–157. 2021.
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Dimensions of commonsense knowledge. Ilievski, F.; Oltramari, A.; Ma, K.; Zhang, B.; McGuinness, D. L; and Szekely, P. arXiv preprint arXiv:2101.04640. 2021.
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Disaggregation via Gaussian regression for robust analysis of heterogeneous data. Alipourfard, N.; Burghardt, K.; and Lerman, K. Handbook of Computational Social Science, Volume 2: Data Science, Statistical Modelling, and Machine Learning Methods. 2021.
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Disaggregation via Gaussian regression for robust analysis of heterogeneous data. Routledge, Abingdon-on-Thames, UK, 2021.
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Discol: Toward engaging dialogue systems through conversational line guided response generation. Ghazarian, S.; Liu, Z.; Chakrabarty, T.; Ma, X.; Galstyan, A.; and Peng, N. In NAACL-HLT'21 (Demo Track), 2021.
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Distributed and Heterogeneous SAR Backprojection with Halide. Imes, C.; Li, T.; Glines, M.; Khan, R.; and Walters, J. P. In 2021 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–9, 2021. IEEE
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Do You Really Like Me? Anycast Latency and Root DNS Popularity. Heidemann, J.; Moura, G. C. M.; and Hardaker, W. Presentation at DINR, Workshop on DNS and Internet Naming Research Directions, November 2021.
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Domain Adaptation for Sentiment Analysis Using Increased Intraclass Separation. Rostami, M.; and Galstyan, A. arXiv preprint arXiv:2107.01598. 2021.
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Down the bot hole: Actionable insights from a one-year analysis of bot activity on Twitter. Luceri, L.; Cardoso, F.; and Giordano, S. First Monday. 2021.
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Efficient Processing of Streaming Data using Multiple Abstractions. Qadeer, A.; and Heidemann, J. In Proceedings of the IEEE International Conference on Cloud Computing, pages 157–167, Virtual, September 2021. IEEE Special paper award
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Emergence of Structural Inequalities in Scientific Citation Networks. Nettasinghe, B.; Alipourfard, N.; Krishnamurthy, V.; and Lerman, K. arXiv preprint arXiv:2103.10944. 2021.
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Emerging Frameworks for Advancing Scientific Workflows Research, Development, and Education. Casanova, H.; Deelman, E.; Gesing, S.; Hildreth, M.; Hudson, S.; Koch, W.; Larson, J.; McDowell, M. A.; Meyers, N.; Navarro, J.; Papadimitriou, G.; Tanaka, R.; Taylor, I.; Thain, D.; Wild, S. M.; Filgueira, R.; and da Silva, R. F. In 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), pages 74-80, 2021. Funding Acknowledgments: DOE DE-SC0012636, NSF 1664162
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Empirical Best Practices On Using Product-Specific Schema.org. Kejriwal, M.; Selvam, R. K.; Ni, C.; and Torzec, N. In Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021, pages 15452–15457, 2021. AAAI Press
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Encryption without Centralization: Distributing DNS Queries Across Recursive Resolvers. Hounsel, A.; Schmitt, P.; Borgolte, K.; and Feamster, N. In Proceedings of the Applied Networking Research Workshop, of ANRW '21, July 2021.
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End-to-End Online Performance Data Capture and Analysis for Scientific Workflows. Papadimitriou, G.; Wang, C.; Vahi, K.; Ferreira da Silva, R.; Mandal, A.; Zhengchun, L.; Mayani, R.; Rynge, M.; Kiran, M.; Lynch, V. E.; Kettimuthu, R.; Deelman, E.; Vetter, J. S.; and Foster, I. Future Generation Computer Systems, 117: 387-400. 2021. Funding Acknowledgments: DOE DE-SC0012636
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Enter At Your Own Risk: The Impacts of Joining a Hateful Subreddit. Ko, K.; Burghardt, K.; and Muric, G. 2021 IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems (MASS),657–658. oct 2021.
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Estimating informativeness of samples with Smooth Unique Information. Harutyunyan, H.; Achille, A.; Paolini, G.; Majumder, O.; Ravichandran, A.; Bhotika, R.; and Soatto, S. In International Conference on Learning Representations, 2021.
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Evaluating energy-aware scheduling algorithms for I/O-intensive scientific workflows. Coleman, T.; Casanova, H.; Gwartney, T.; and Ferreira da Silva, R. In International Conference on Computational Science (ICCS), pages 183–197, 2021. Springer Funding Acknowledgments: NSF 1923539, NSF 2016619
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Event-Centric Natural Language Processing. Chen, M.; Zhang, H.; Ning, Q.; Li, M.; Ji, H.; McKeown, K.; and Roth, D. In ACL, 2021.
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Event-Centric Natural Language Understanding. Chen, M.; Zhang, H.; Ning, Q.; Li, M.; Ji, H.; and Roth, D. AAAI Tutorials. 2021.
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Experimental Demonstration of Remotely Controlled and Powered Tunable Optical 2-4 Taps Correlator of a 20-100 Gbit/s QPSK Channel Based on Laser-Delivered Bias and Control Signals. Alishahi, F.; Minoofar, A.; Fallahpour, A.; Zou, K.; Zhou, H.; Habif, J.; Tur, M.; and Willner, A. E. In 2021 Optical Fiber Communications Conference and Exhibition (OFC), pages 1-3, 2021.
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Explaining Face Presentation Attack Detection Using Natural Language. Mirzaalian, H.; Hussein, M.; Spinoulas, L.; May, J.; and Abd-Almageed, W. In 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021), 2021. IEEE
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Fabrication tolerant MZI design for broadband WDM filters on scalable SiP platform. Papadovasilakis, M.; Chandran, S.; Gebregiorgis, Y.; Bian, Y.; Rakowski, M.; Krishnamurthy, S.; Augur, R.; and Viegas, J. In Integrated Photonics Research, Silicon and Nanophotonics, pages IM2A–6, 2021. Optical Society of America
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Failure Modes of Domain Generalization Algorithms. Galstyan, T.; Harutyunyan, H.; Khachatrian, H.; Steeg, G. V.; and Galstyan, A. arXiv preprint arXiv:2111.13733. 2021.
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Fair sharing of network resources among workflow ensembles. Papadimitriou, G.; Lyons, E.; Wang, C.; Thareja, K.; Tanaka, R.; Ruth, P.; Rodero, I.; Deelman, E.; Zink, M.; and Mandal, A. Cluster Computing. 2021. Funding Acknowledgments: NSF 1826997
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Fast Graph Learning with Unique Optimal Solutions. Abu-El-Haija, S.; Crespi, V.; Steeg, G. V.; and Galstyan, A. In ICLR 2021 Workshop on Geometrical and Topological Representation Learning, 2021.
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Fast quantum state reconstruction via accelerated non-convex programming. Kim, J. L.; Kollias, G.; Kalev, A.; Wei, K. X.; and Kyrillidis, A. 2021.
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Fight Club: Maturing Defense in Depth Obfuscation Techniques. Menon, V. V.; Sharma, U.; Roshanisefat, S.; Shukla, S. S.; Schmidt, A. G.; French, M.; Beerel, P. A.; and Nuzzo, P. In Government Microcircuit Applications & Critical Techology Conference (GOMACTech), 2021.
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Finding Pragmatic Differences Between Disciplines. Kezar, L.; and Pujara, J. In NAACL Workshop on Scholarly Document Processing, 2021.
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FlyNet: A Platform to Support Scientific Workflows from the Edge to the Core for UAV Applications. Lyons, E.; Saplakoglu, H.; Zink, M.; Thareja, K.; Mandal, A.; Qu, C.; Wang, S.; Calyam, P.; Papadimitriou, G.; Tanaka, R.; and Deelman, E. In Proceedings of the 14th IEEE/ACM International Conference on Utility and Cloud Computing, of UCC '21, New York, NY, USA, 2021. Association for Computing Machinery Funding Acknowledgments: NSF 2018074
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Follow the leader: Documents on the leading edge of semantic change get more citations. Soni, S.; Lerman, K.; and Eisenstein, J. Journal of the Association for Information Science and Technology, 72(4): 478–492. 2021.
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ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data. Jin, W.; Khanna, R.; Kim, S.; Lee, D.; Morstatter, F.; Galstyan, A.; and Ren, X. In ACL 2021, 2021.
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From Tables to Knowledge: Recent Advances in Table Understanding. Pujara, J.; Szekely, P.; Sun, H.; and Chen, M. In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining: Tutorials, pages 4060–4061, 2021.
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GLUME: A Strategy for Reducing Workflow Execution Times on Batch-Scheduled Platforms. Hataishi, E.; Dutot, P.; Ferreira da Silva, R.; and Casanova, H. In Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP), 2021. Funding Acknowledgment: NSF 1923539
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Gender disparity in the authorship of biomedical research publications during the COVID-19 pandemic. Muric, G.; Lerman, K.; and Ferrara, E. Journal of Medical Internet Research. 2021.
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Gender disparity in the authorship of biomedical research publications during the COVID-19 pandemic: Retrospective observational study. Muric, G.; Lerman, K.; and Ferrara, E. Journal of medical Internet research, 23(4): e25379. 2021.
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Generating Explainable Abstractions for Wikidata Entities. Klein, N.; Ilievski, F.; and Szekely, P. In Proceedings of the 11th on Knowledge Capture Conference, pages 89–96, 2021.
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Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning. Markowitz, E.; Balasubramanian, K.; Mirtaheri, M.; Abu-El-Haija, S.; Perozzi, B.; Steeg, G. V.; and Galstyan, A. In ICLR, 2021.
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Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning. Markowitz, E. S.; Balasubramanian, K.; Mirtaheri, M.; Abu-El-Haija, S.; Perozzi, B.; Ver Steeg, G.; and Galstyan, A. In International Conference on Learning Representations (ICLR), 2021.
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Graph signal recovery using restricted Boltzmann machines. Mohan, A.; Nakano, A.; and Ferrara, E. Expert Systems with Applications, 185: 115635. 2021.
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Having a Bad Day? Detecting the Impact of Atypical Events Using Wearable Sensors. Burghardt, K.; Tavabi, N.; Ferrara, E.; Narayanan, S.; and Lerman, K. In International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation, pages 257–267, 2021. Springer
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Optical Signal Processing Performance Dependence on Non- Ideal MZI Operation in a Tapped-Delay-Line. Alishahi, F.; Fallahpour, A.; Zou, K.; Minoofar, A.; Zhou, H.; Liu, C.; Tur, M.; Habif, J.; and Willner, A. E. In Conference on Lasers and Electro-Optics, pages JTu3A.52, 2021. Optical Society of America
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Optical Steganography using Phase Encoding of Coherent States in a Noisy Thermal Channel. Jain, R; Jagannathan, A; and Habif, J. In Frontiers in Optics, pages JW7A–114, 2021. Optical Society of America
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Optical couplers with non-linear tapering. Bian, Y.; Jacob, A. P.; and Chandran, S. October~19 2021. US Patent 11,150,407
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Optical neuro-mimetic devices. Jaiswal, A. R; Jacob, A. P.; Bian, Y.; and Rakowski, M. November~25 2021. US Patent App. 16/880,253
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Optimal Concurrency for List-Based Sets. Aksenov, V.; Gramoli, V.; Kuznetsov, P.; Shang, D.; and Ravi, S. In Malyshkin, V., editor(s), Parallel Computing Technologies - 16th International Conference, PaCT 2021, Kaliningrad, Russia, September 13-18, 2021, Proceedings, volume 12942, of Lecture Notes in Computer Science, pages 386–401, 2021. Springer
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Organizational Artifacts of Code Development. Kaghazgaran, P.; Lubold, N.; and Morstatter, F. arXiv preprint arXiv:2105.14637. 2021.
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P4 and NetFPGA based secure in-network computing architecture for AI-enabled Industrial Internet of Things. Sankaran, G. C; Sivalingam, K. M; and Gondaliya, H. IEEE Internet of Things Journal. 2021.
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PERFUME: Programmatic Extraction and Refinement for Usability of Mathematical Expression. Weideman, N.; Felkner, V. K.; Wu, W.; May, J.; Hauser, C.; and Garcia, L. In Proceedings of the 2021 Research on offensive and defensive techniques in the Context of Man At The End (MATE) Attacks, of Checkmate '21, pages 59–69, New York, NY, USA, November 2021. Association for Computing Machinery
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ParsiNLU: A Suite of Language Understanding Challenges for Persian. Khashabi, D.; Cohan, A.; Shakeri, S.; Hosseini, P.; Pezeshkpour, P.; Alikhani, M.; Aminnaseri, M.; Bitaab, M.; Brahman, F.; Ghazarian, S.; Gheini, M.; Kabiri, A.; Mahabagdi, R. K.; Memarrast, O.; Mosallanezhad, A.; Noury, E.; Raji, S.; Rasooli, M. S.; Sadeghi, S.; Azer, E. S.; Samghabadi, N. S.; Shafaei, M.; Sheybani, S.; Tazarv, A.; and Yaghoobzadeh, Y. Transactions of the Association for Computational Linguistics, 9: 1147–1162. 2021.
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Partner-Assisted Learning for Few-Shot Image Classification. Ma, J.; Xie, H.; Han, G.; Chang, S.; Galstyan, A.; and Abd-Almageed, W. International Conference on Computer Vision. 2021.
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Perhaps PTLMs Should Go to School – A Task to Assess Open Book and Closed Book QA. Ciosici, M.; Cecil, J.; Lee, D.; Hedges, A.; Freedman, M.; and Weischedel, R. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 6104–6111, Online and Punta Cana, Dominican Republic, November 2021. Association for Computational Linguistics
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Picasso: Model-free Feature Visualization. Vu, B.; and Markov, I. 2021.
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Pictures as a Form of Protest: A Survey and Analysis of Images Posted During the Stop Asian Hate Movement on Twitter. Allen, O. M.; Chen, E.; and Ferrara, E. In 2021 IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems (MASS), pages 667–668, 2021. IEEE
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Plot-guided Adversarial Example Construction for Evaluating Open-domain Story Generation. Ghazarian, S.; Liu, Z.; SM, A.; Weischedel, R.; Galstyan, A.; and Peng, N. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021.
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Polarizers based on looped waveguide crossings. Bian, Y.; Chandran, S.; Viegas, J.; Zafar, H.; and Jacob, A. P. September~30 2021. US Patent App. 16/836,047
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Political Partisanship and Antiscience Attitudes in Online Discussions About COVID-19: Twitter Content Analysis. Rao, A.; Morstatter, F.; Hu, M.; Chen, E.; Burghardt, K.; Ferrara, E.; Lerman, K.; and others Journal of Medical Internet Research, 23(6): e26692. 2021.
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Political Partisanship and Antiscience Attitudes in Online Discussions About COVID-19: Twitter Content Analysis. Rao, A.; Morstatter, F.; Hu, M.; Chen, E.; Burghardt, K.; Ferrara, E.; and Lerman, K. J Med Internet Res, 23(6): e26692. Jun 2021.
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Predicting Flash Floods in the Dallas-Fort Worth Metroplex Using Workflows and Cloud Computing. Lyons, E.; Seo, D.; Kim, S.; Habibi, H.; Papadimitriou, G.; Tanaka, R.; Deelman, E.; Zink, M.; and Mandal, A. In 2021 IEEE 17th International Conference on eScience (eScience), pages 259-261, 2021. Funding Acknowledgments: NSF 1826997, 2018074, 1664162
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Predicting Progression from Mild Cognitive Impairment to Alzheimer’s Disease using MRI-based Cortical Features and a Two-State Markov Model. Ficiarà, E.; Crespi, V.; Gadewar, S. P.; Thomopoulos, S. I.; Boyd, J.; Thompson, P. M.; Jahanshad, N.; Pizzagalli, F.; and Initiative, t. A. D. N. In Proceedings of the International Symposium on Biomedical Imaging (ISBI), Nice, France, April 2021.
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Predicting Youth at High Risk of Aging Out of Foster Care using Machine Learning Methods. Ahn, E.; Gil, Y.; and Putnam-Horstein, E. Child Abuse and Neglect, 117. 2021.
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Predicting Zip Code-Level Vaccine Hesitancy in US Metropolitan Areas Using Machine Learning Models on Public Tweets. Melotte, S.; and Kejriwal, M. CoRR, abs/2108.01699. 2021.
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Pretty Good Phone Privacy. Schmitt, P.; and Raghavan, B. In 30th USENIX Security Symposium (USENIX Security 21), August 2021.
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Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning. Chen, X.; Boratko, M.; Chen, M.; Dasgupta, S. S.; Li, X. L.; and McCallum, A. In NAACL, 2021.
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Probing Commonsense Explanation in Dialogue Response Generation. Zhou, P.; Jandaghi, P.; Cho, H.; Lin, B. Y.; Pujara, J.; and Ren, X. In Findings of the Association for Computational Linguistics: EMNLP 2021, 2021.
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PyCT: A Python Concolic Tester. Chen, Y.; Tsai, W.; Wu, W.; Yen, D.; and Yu, F. In Oh, H., editor(s), Programming Languages and Systems, pages 38–46, Cham, 2021. Springer International Publishing
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Quantifying the Impact of Precision Errors on Quantum Approximate Optimization Algorithms. Quiroz, G.; Titum, P.; Lotshaw, P.; Lougovski, P.; Schultz, K.; Dumitrescu, E.; and Hen, I. arXiv e-prints,arXiv:2109.04482. September 2021.
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Quantum Algorithm for Simulating Hamiltonian Dynamics with an Off-diagonal Series Expansion. Kalev, A.; and Hen, I. Quantum, 5: 426. Apr 2021.
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Quantum Algorithm for Time-Dependent Hamiltonian Simulation by Permutation Expansion. Chen, Y.; Kalev, A.; and Hen, I. PRX Quantum, 2: 030342. Sep 2021.
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Quantum-limited discrimination of laser light and thermal light. Habif, J. L.; Jagannathan, A.; Gartenstein, S.; Amory, P.; and Guha, S. Opt. Express, 29(5): 7418–7427. Mar 2021.
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Quantum-limited estimation of coherence under thermal noise in photon-starved states. Chua, Z.; Habif, J.; and Spedalieri, F. Bulletin of the American Physical Society. 2021.
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RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms. Zhou, P.; Khanna, R.; Lee, S.; Lin, B. Y.; Ho, D.; Pujara, J.; and Ren, X. In Conference on Empirical Methods in Natural Language Processing, 2021.
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RNN BASED INCREMENTAL ONLINE SPOKEN LANGUAGE UNDERSTANDING. Sivakumar, G. P.; Kumar, N.; Georgiou, P.; and Narayanan, S. In In proceedings of IEEE Spoken Language Technology Workshop, Jan 2021.
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Rapid detection of identity-by-descent tracts for mega-scale datasets. Shemirani, R.; Belbin, G. M; Avery, C. L; Kenny, E. E; Gignoux, C. R; and Ambite, J. L. Nat Commun, 12(1): 3546. Jun 2021.
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Reducing stress effects on multi-project-wafer reticles by optimizing metal densities and density gradients in an MPW placement flow. Lifu Chang, P. M.; and Eric Beisser, J. Z. In Proceedings of SPIE, 2021.
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Relative-Motion Trajectory Generation and Maintenance for Multi-Spacecraft Swarms. Rughani, R. Ph.D. Thesis, University of Southern California, 2021.
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Representing Numbers in NLP: a Survey and a Vision. Thawani, A.; Pujara, J.; Szekely, P. A; and Ilievski, F. In Proceedings of NAACL, 2021.
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Representing Numbers in NLP: a Survey and a Vision. Thawani, A.; Pujara, J.; Ilievski, F.; and Szekely, P. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 644–656, Online, June 2021. Association for Computational Linguistics
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Reproducing GW150914: the first observation of gravitational waves from a binary black hole merger. Brown, D.; Vahi, K.; Taufer, M.; Welch, V.; and Deelman, E. Computing in Science & Engineering. 2021. Funding Acknowledgment: NSF 1664162, NSF 1823405
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Retrieving Complex Tables with Multi-Granular Graph Representation Learning. Wang, F.; Sun, K.; Chen, M.; Pujara, J.; and Szekely, P. In ACM Conference on Research and Development in Information Retrieval (SIGIR), 2021.
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Revisiting Nakamoto Consensus in Asynchronous Networks: A Comprehensive Analysis of Bitcoin Safety and ChainQuality. Saad, M.; Anwar, A.; Ravi, S.; and Mohaisen, D. In Kim, Y.; Kim, J.; Vigna, G.; and Shi, E., editor(s), CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15 - 19, 2021, pages 988–1005, 2021. ACM
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Root Cause Analysis of Data Integrity Errors in Networked Systems with Incomplete Information. Xin, Y.; Fu, S.; Mandal, A.; Baldin, I.; Tanaka, R.; Rynge, M.; Vahi, K.; Deelman, E.; Abhinit, I.; and Von, W. In 2021 International Conference on Information and Communication Technology Convergence (ICTC), pages 735-740, 2021.
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SCAN: Sequence-Character Aware Network for Text Recognition. Hassan, H.; Torki, M.; and Hussein, M. E. In International Conference on Computer Vision Theory and Applications (VISAPP), 2021.
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SENSOR FUSION KALMAN FILTERING FOR STABILITY AND CONTROL OF SATELLITE SWARMS. Rughani, R.; and Barnhart, D. A . 2021.
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SIGN: Spatial-information Incorporated Generative Network for Generalized Zero-shot Semantic Segmentation. Cheng, J.; Nandi, S.; Natarajan, P.; and Abd-Almageed, W. International Conference on Computer Vision. 2021.
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SPADE: A Semi-supervised Probabilistic Approach for Detecting Errors in Tables. Pham, M.; Knoblock, C. A.; Chen, M.; Vu, B.; and Pujara, J. In Zhou, Z., editor(s), Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21, pages 3543–3551, August 2021.
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Salience-Aware Event Chain Modeling for Narrative Understanding. Zhang, X.; Chen, M.; and May, J. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 1418–1428, Online and Punta Cana, Dominican Republic, November 2021. Association for Computational Linguistics
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Scaling Neuroscience Research using Federated Learning. Stripelis, D.; Ambite, J. L.; Lam, P.; and Thompson, P. In IEEE 18th International Symposium on Biomedical Imaging (ISBI), pages 1191–1195, Nice, France, 2021.
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SecDeep: Secure and Performant On-device Deep Learning Inference Framework for Mobile and IoT Devices. Liu, R.; Garcia, L.; Liu, Z.; Ou, B.; and Srivastava, M. In Proceedings of the International Conference on Internet-of-Things Design and Implementation, pages 67–79, 2021.
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Secure Cloud-Based Lynx Virtual Design Environment Enabling Accurate and Efficient Physical Verification and Fabrication Sign-Off. Gary Thorne, F. K.; and Joshua Zusman, L. C. In SNUG World 2021, 2021.
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Secure Neuroimaging Analysis using Federated Learning with Homomorphic Encryption. Stripelis, D.; Saleem, H.; Ghai, T.; Dhinagar, N.; Gupta, U.; Anastasiou, C.; Ver Steeg, G.; Ravi, S.; Naveed, M.; Thompson, P. M.; and Ambite, J. L. In International Symposium on Medical Information Processing and Analysis (SIPAIM), 2021.
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Secure Publish-Process-Subscribe System for Dispersed Computing. Jin, W.; Krishnamachari, B.; Naveed, M.; Ravi, S.; Sanou, E.; and Wright, K. IACR Cryptol. ePrint Arch.,1668. 2021.
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Secure neuroimaging analysis using federated learning with homomorphic encryption. Stripelis, D.; Saleem, H.; Ghai, T.; Dhinagar, N.; Gupta, U.; Anastasiou, C.; Steeg, G. V.; Ravi, S.; Naveed, M.; Thompson, P. M.; and Ambite, J. L. In Rittner, L.; M.D., E. R. C.; Lepore, N.; Brieva, J.; and Linguraru, M. G., editor(s), 17th International Symposium on Medical Information Processing and Analysis, volume 12088, pages 351 – 359, 2021. International Society for Optics and Photonics, SPIE
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Semi-Synchronous Federated Learning. Stripelis, D.; and Ambite, J. L. arXiv:2102.02849. 2021.
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Serverless Containers – Rising Viable Approach to Scientific Workflows. Burkat, K.; Pawlik, M.; Balis, B.; Malawski, M.; Vahi, K.; Rynge, M.; da Silva, R. F.; and Deelman, E. In 2021 IEEE 17th International Conference on eScience (eScience), pages 40-49, 2021.
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Smart quality control powered by machine learning algorithms. Bonomi, N.; Cardoso, F.; Confalonieri, M.; Daniele, F.; Ferrario, A.; Foletti, M.; Giordano, S.; Luceri, L.; and Pedrazzoli, P. In 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE), pages 764–770, 2021. IEEE
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Social Bots and Social Media Manipulation in 2020: The Year in Review. Chang, H. H.; Chen, E.; Zhang, M.; Muric, G.; and Ferrara, E. In Engel, U.; Quan-Haase, A.; Xun Liu, S.; and Lyberg, L. E, editor(s), Handbook of Computational Social Science, Volume 1: Theory, Case Studies and Ethics. Routledge, 2021.
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Social Bots and Their Coordination During Online Campaigns: A Survey. Khaund, T.; Kirdemir, B.; Agarwal, N.; Liu, H.; and Morstatter, F. IEEE Transactions on Computational Social Systems. 2021.
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Social Media Polarization and Echo Chambers in the Context of COVID-19: Case Study. Jiang, J.; Ren, X.; and Ferrara, E. JMIRx med, 2(3): e29570. 2021.
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Social Media Polarization and Echo Chambers in the Context of COVID-19: Case Study. Jiang, J.; Ren, X.; Ferrara, E.; and others JMIRx med, 2(3): e29570. 2021.
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Social media against society. Luceri, L.; Cresci, S.; and Giordano, S. In The Internet and the 2020 Campaign, pages 1. Rowman & Littlefield, 2021.
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Speaker Turn Modeling for Dialogue Act Classification. He, Z.; Tavabi, L.; Lerman, K.; and Soleymani, M. In Findings of the Association for Computational Linguistics: EMNLP 2021, pages 2150–2157, 2021.
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StateCensusLaws.org: A Web Application for Consuming and Annotating Legal Discourse Learning. Spangher, A.; and May, J. CoRR, abs/2104.10263. 2021.
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Story Generation with Commonsense Knowledge Graphs and Axioms. Ilievski, F.; Pujara, J.; and Zhang, H. In Workshop on Commonsense Reasoning and Knowledge Bases, 2021.
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Synthetic Map Generation to Provide Unlimited Training Data for Historical Map Text Detection. Li, Z.; Guan, R.; Yu, Q.; Chiang, Y.; and Knoblock, C. A. In Proceedings of the 4th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, of GEOAI '21, pages 17–26, New York, NY, USA, 2021. Association for Computing Machinery
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Systematizing confidence in open research and evidence (score). Alipourfard, N.; Arendt, B.; Benjamin, D. M; Benkler, N.; Bishop, M.; Burstein, M.; Bush, M.; Caverlee, J.; Chen, Y.; Clark, C.; and others . 2021.
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TOMATE: A heuristic-based approach to extract data from HTML tables. Roldán, J. C.; Jiménez, P.; Szekely, P.; and Corchuelo, R. Information Sciences, 577: 49-68. 2021.
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Table-based Fact Verification With Salience-aware Learning. Wang, F.; Sun, K.; Pujara, J.; Szekely, P.; and Chen, M. In Findings of the Association for Computational Linguistics: EMNLP 2021, 2021.
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Tabular Functional Block Detection with Embedding-based Agglomerative Cell Clustering. Sun, K.; Wang, F.; Chen, M.; and Pujara, J. In Conference on Information and Knowledge Management, 2021.
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Teaching Parallel and Distributed Computing Concepts in Simulation with WRENCH. Casanova, H.; Tanaka, R.; Koch, W.; and Ferreira da Silva, R. Journal of Parallel and Distributed Computing. 2021. Funding Acknowledgments: NSF 1923539, NSF 1642335
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Temporal Dynamics of Workplace Acoustic Scenes: Egocentric Analysis and Prediction. Jati, A.; Nadarajan, A.; Peri, R.; Mundnich, K.; Feng, T.; Girault, B.; and Narayanan, S. IEEE/ACM Transactions on Audio, Speech and Language Processing. Jan 2021.
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The Danish Gigaword Corpus. Strømberg-Derczynski, L.; Ciosici, M.; Baglini, R.; Christiansen, M. H.; Dalsgaard, J. A.; Fusaroli, R.; Henrichsen, P. J.; Hvingelby, R.; Kirkedal, A.; Kjeldsen, A. S.; Ladefoged, C.; Nielsen, F. Å.; Madsen, J.; Petersen, M. L.; Rystrøm, J. H.; and Varab, D. In Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa), pages 413–421, Reykjavik, Iceland (Online), May31–2 June 2021. Linköping University Electronic Press, Sweden
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The Pegasus Workflow Management System: Translational Computer Science in Practice. Deelman, E.; Ferreira da Silva, R.; Vahi, K.; Rynge, M.; Mayani, R.; Tanaka, R.; Whitcup, W.; and Livny, M. Journal of Computational Science, 52: 101200. 2021. Funding Acknowledgments: NSF 1664162
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The Wide, the Deep, and the Maverick: Types of Players in Team-based Online Games. Jiang, J.; Maldeniya, D.; Lerman, K.; and Ferrara, E. Proceedings of the ACM on Human-Computer Interaction, 5(CSCW1): 1–26. 2021.
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The emergence of heterogeneous scaling in research institutions. Burghardt, K. A; He, Z.; Percus, A. G; and Lerman, K. Communications Physics, 4(1): 1–6. 2021.
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The impact of peer review on the contribution potential of scientific papers. Matsui, A.; Chen, E.; Wang, Y.; and Ferrara, E. PeerJ, 9: e11999. 2021.
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Topics of Nicotine-Related Discussions on Twitter: Infoveillance Study. Allem, J.; Dormanesh, A.; Majmundar, A.; Unger, J. B; Kirkpatrick, M. G; Choube, A.; Aithal, A.; Ferrara, E.; Cruz, T. B.; and others Journal of Medical Internet Research, 23(6): e25579. 2021.
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Toward a fine-scale population health monitoring system. Belbin, G. M.; Cullina, S.; Wenric, S.; Soper, E. R.; Glicksberg, B. S.; Torre, D.; Moscati, A.; Wojcik, G. L.; Shemirani, R.; Beckmann, N. D.; Cohain, A.; Sorokin, E. P.; Park, D. S.; Ambite, J. L.; Ellis, S.; Auton, A.; Bottinger, E. P.; Cho, J. H.; Loos, R. J. F.; Abul-Husn, N. S.; Zaitlen, N. A.; Gignoux, C. R.; and Kenny, E. E. Cell, 184(8): 2068–2083.e11. April 2021.
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Tracking e-cigarette warning label compliance on Instagram with deep learning. Kennedy, C. J; Vassey, J.; Chang, H. H.; Unger, J. B; and Ferrara, E. arXiv preprint arXiv:2102.04568. 2021.
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Transfer Learning Through Embedding Spaces. Rostami, M. CRC Press, 2021.
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Understanding COVID-19 Vaccine Reaction through Comparative Analysis on Twitter. Luo, Y.; and Kejriwal, M. CoRR, abs/2111.05823. 2021.
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Unsupervised DNF Blocking for Efficient Linking of Knowledge Graphs and Tables. Kejriwal, M. Inf., 12(3): 134. 2021.
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Unsupervised Model Adaptation for Continual Semantic Segmentation. Stan, S.; and Rostami, M. In Proceedings of the AAAI Conference on Artificial Intelligence, volume 35, pages 2593–2601, 2021.
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Virtual machine allocation analysis for physical network deployments. Ganesh Chennimalai Sankaran, B. V. V. March~2 2021. US Patent 10,936,355
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VisDict: Enhancing the Communication between Workflow Providers and User Communities via a Visual Dictionary. Gesing, S.; Ferreira da Silva, R.; Deelman, E.; Hildreth, M.; McDowell, M. A.; Meyers, N.; Taylor, I.; and Tain, D. In 2021 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS), 2021.
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VisDict: Enhancing the Communication between Workflow Providers and User Communities via a Visual Dictionary. Gesing, S.; Ferreira da Silva, R.; Deelman, E.; Hildreth, M.; McDowell, M. A.; Natalie, M.; Ian, T.; and Douglas, T. In 2021 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS), 2021.
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Visual Pivoting for (Unsupervised) Entity Alignment. Liu, F.; Chen, M.; Roth, D.; and Collier, N. In AAAI, 2021.
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Visualizing Internet Measurements of Covid-19 Work-from-Home. Stutz, E.; Pradkin, Y.; Song, X.; and Heidemann, J. In Proceedings of the National Symposium for NSF REU Research in Data Science, Systems, and Security (REU 2021 Symposium), pages 5633–5638, Virtual Workshop, December 2021. IEEE
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W-TSS: A Wavelet-Based Algorithm for Discovering Time Series Shapelets. Li, K.; Deng, H.; Morrison, J.; Habre, R.; Franklin, M.; Chiang, Y.; Sward, K.; Gilliland, F. D.; Ambite, J. L.; and Eckel, S. P. Sensors, 21(17). 2021.
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WARP: Word-level Adversarial ReProgramming. Hambardzumyan, K.; Khachatrian, H.; and May, J. 2021.
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Waveguide crossings having arms shaped with a non-linear curvature. Jacob, A. P.; Bian, Y.; Chandran, S.; and Dahlem, M. April~27 2021. US Patent 10,989,873
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Well-poised hypersurfaces. Cecil, J.; Dutta, N.; Manon, C.; Riley, B.; and Vichitbandha, A. Communications in Algebra, 49: 2645 - 2654. feb 2021.
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WfChef: Automated Generation of Accurate Scientific Workflow Generators. Coleman, T.; Casanova, H.; and Ferreira da Silva, R. In 17th IEEE eScience Conference, 2021. Funding Acknowledgments: NSF 1923539, NSF 2016619
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What Is The Internet? (Considering Partial Connectivity). Baltra, G.; and Heidemann, J. Technical Report arXiv:2107.11439v2, USC/Information Sciences Institute, May 2021.
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Will AI Write Scientific Papers in the Future?. Gil, Y. AI Mag., 42(4): 3–15. 2021.
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Woolery: Extending Frame Semantics to Structured Documents. Eggleston, C.; and Abramson, J. In Chen, Y.; Ludwig, H.; Tu, Y.; Fayyad, U. M.; Zhu, X.; Hu, X.; Byna, S.; Liu, X.; Zhang, J.; Pan, S.; Papalexakis, V.; Wang, J.; Cuzzocrea, A.; and Ordonez, C., editor(s), 2021 IEEE International Conference on Big Data (Big Data), Orlando, FL, USA, December 15-18, 2021, pages 5597–5601, 2021. IEEE
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Woolery: Toward Semantic Annotation of Structured Documents with FrameNet. Eggleston, C.; and Abramson, J. In IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2021, Denver, CO, USA, October 4-7, 2021, pages 659–660, 2021. IEEE
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Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development. Ferreira da Silva, R.; Casanova, H.; Chard, K.; Coleman, T.; Laney, D.; Ahn, D.; Jha, S.; Howell, D.; Soiland-Reys, S.; Altintas, I.; Thain, D.; Filgueira, R.; Babuji, Y.; Badia, R. M.; Balis, B.; Caino-Lores, S.; Callaghan, S.; Coppens, F.; Crusoe, M. R.; De, K.; Di Natale, F.; Do, T. M. A.; Enders, B.; Fahringer, T.; Fouilloux, A.; Fursin, G.; Gaignard, A.; Ganose, A.; Garijo, D.; Gesing, S.; Goble, C.; Hasan, A.; Huber, S.; Katz, D. S.; Leser, U.; Lowe, D.; Ludaescher, B.; Maheshwari, K.; Malawski, M.; Mayani, R.; Mehta, K.; Merzky, A.; Munson, T.; Ozik, J.; Pottier, L.; Ristov, S.; Roozmeh, M.; Souza, R.; Suter, F.; Tovar, B.; Turilli, M.; Vahi, K.; Vidal-Torreira, A.; Whitcup, W.; Wilde, M.; Williams, A.; Wolf, M.; and Wozniak, J. June 2021.
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Workflows Community Summit: Bringing the Scientific Workflows Community Together. Ferreira da Silva, R.; Casanova, H.; Chard, K.; Laney, D.; Ahn, D.; Jha, S.; Goble, C.; Ramakrishnan, L.; eerson , L.; Enders, B.; Thain, D.; Altintas, I.; Babuji, Y.; Badia, R.; Bonazzi, V.; Coleman, T.; Crusoe, M.; Deelman, E.; Di Natale, F.; Di Tommaso, P.; Fahringer, T.; Filgueira, R.; Fursin, G.; Ganose, A.; Gruning, B.; Katz, D. S.; Kuchar, O.; Kupresanin, A.; Ludascher, B.; Maheshwari, K.; Mattoso, M.; Mehta, K.; Munson, T.; Ozik, J.; Peterka, T.; Pottier, L.; Randles, T.; Soiland-Reyes, S.; Tovar, B.; Turilli, M.; Uram, T.; Vahi, K.; Wilde, M.; Wolf, M.; and Wozniak, J. March 2021.
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Workshop on Overcoming Measurement Barriers to Internet Research (WOMBIR 2021) Final Report. kc claffy ; Clark, D.; Bustamante, F. E.; Heidemann, J.; Jonker, M.; Schulman, A.; and Zegura, E. ACM Computer Communication Review, 51(3). July 2021.
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X-METRA-ADA: Cross-lingual Meta-Transfer learning Adaptation to Natural Language Understanding and Question Answering. M'hamdi, M.; Kim, D. S.; Dernoncourt, F.; Bui, T.; Ren, X.; and May, J. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 3617–3632, Online, June 2021. Association for Computational Linguistics
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You are where you eat: Effect of mobile food environments on fast food visits. Bernardo Garcia-Bulle, A. L. H.; Brooke M. Bell, M. B.; Burcin Bozkaya, A. P.; and Kayla de la Haye, E. M. medRxiv. 2021.
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Zero-shot Synthesis with Group-Supervised Learning. Ge, Y.; Abu-El-Haija, S.; Xin, G.; and Itti, L. In International Conference on Learning Representations, 2021.
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Zero-shot image classification using coupled dictionary embedding. Rostami, M.; Kolouri, S.; Murez, Z.; Owekcho, Y.; Eaton, E.; and Kim, K. Journal of Machine Learning with Applications. 2021.
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geoChronR – an R package to model, analyze, and visualize age-uncertain data. McKay, N.; Emile-Geay, J.; and Khider, D. Geochronology, 3(1): 149–169. March 2021.
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iCURL: Refining Estimated Identical-by-Descent Segments Via Community Detection. Shemirani, R.; Gignoux, C.; Zaitlen, N.; Avery, C.; Kenny, E.; Belbin, G.; and Ambite, J. L. In Annual Meeting of the American Society of Human Genetics, Virtual, 2021. Abstract + Poster
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q-Paths: Generalizing the geometric annealing path using power means. Masrani, V.; Brekelmans, R.; Bui, T.; Nielsen, F.; Galstyan, A.; Ver Steeg, G.; and Wood, F. In de Campos, C.; and Maathuis, M. H., editor(s), Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, volume 161, of Proceedings of Machine Learning Research, pages 1938–1947, 27–30 Jul 2021. PMLR
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3D Integrated Laser Attach Technology on 300-mm Monolithic Silicon Photonics Platform. Bian, Y.; Ramachandran, K.; Peng, B.; Hedrick, B.; Donegan, K.; Lubguban, J.; Fasano, B.; Rundquist, A.; Pape, J.; Sahin, A.; Houghton, T.; Nummy, K.; Steffes, J.; Medina, L.; Roy, S. G.; Cox, H.; Green, B.; Dezfulian, K.; Lee, W. S.; Stricker, A.; Mclean, K.; Hu, S.; Sowinski, Z.; Meagher, C.; Aboketaf, A.; Rakowski, M.; Randall, M.; Melville, I.; Riggs, D.; Jacob, A.; Augur, R.; Berger, D.; Yu, A.; Giewont, K.; and Pellerin, J. In 2020 IEEE Photonics Conference (IPC), pages 1-2, September 2020.
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45nm CMOS - Silicon Photonics Monolithic Technology (45CLO) for next-generation, low power and high speed optical interconnects. Rakowski, M.; Meagher, C.; Nummy, K.; Aboketaf, A.; Ayala, J.; Bian, Y.; Harris, B.; Mclean, K.; McStay, K.; Sahin, A.; Medina, L.; Peng, B.; Sowinski, Z.; Stricker, A.; Houghton, T.; Hedges, C.; Giewont, K.; Jacob, A.; Letavic, T.; Riggs, D.; Yu, A.; and Pellerin, J. In Optical Fiber Communication Conference (OFC) 2020, 2020. Optical Society of America
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A CMOS Compatible Monolithic Fiber Attach Solution with Reliable Performance and Self-alignment. Peng, B.; Barwicz, T.; Sahin, A.; Houghton, T.; Hedrick, B.; Bian, Y.; Rakowski, M.; Hu, S.; Ayala, J.; Meagher, C.; Sowinski, Z.; Nummy, K.; Stricker, A.; Lubguban, J.; Chen, H.; Fasano, B.; Melville, I.; Wu, Z.; Cho, J. K.; Jacob, A.; Riggs, D.; Berger, D.; Letavic, T.; Yu, A.; Pellerin, J.; and Giewont, K. In Optical Fiber Communication Conference (OFC) 2020, 2020. Optical Society of America
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A Case Study and Characterization of a Many-socket, Multi-tier NUMA HPC Platform. Imes, C.; Hofmeyr, S.; Kang, D. I. D; and Walters, J. P. In 2020 IEEE/ACM 6th Workshop on the LLVM Compiler Infrastructure in HPC (LLVM-HPC) and Workshop on Hierarchical Parallelism for Exascale Computing (HiPar), pages 74–84, 2020. IEEE
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A Data-Driven Study of Commonsense Knowledge using the ConceptNet Knowledge Base. Shen, K.; and Kejriwal, M. CoRR, abs/2011.14084. 2020.
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A First Look at Measuring the Internet during Novel Coronavirus to Evaluate Quarantine (MINCEQ). Heidemann, J. Invited talk at Digital Technologies for COVID-19 Webinar Series hosted by USC Viterbi School of Engineering, May 2020.
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A Geometric Solution to Fair Representations. He, Y.; Burghardt, K.; and Lerman, K. In Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, pages 279–285, 2020.
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A Gravity-Based Approach to Connect Food Retailers with Consumers for Traceback Models of Food-Borne Diseases. Schlaich, T.; Friedrich, H.; and Horn, A. In Complex Networks and Their Applications VIII: Volume 2 Proceedings of the Eighth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2019 8, pages 363–375, 2020. Springer
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A Novel Metric to Evaluate In Situ Workflows. Do, T. M. A.; Pottier, L.; Thomas, S.; Ferreira da Silva, R.; Cuendet, M. A.; Weinstein, H.; Estrada, T.; Taufer, M.; and Deelman, E. In International Conference on Computational Science (ICCS), pages 538–553, 2020. Funding Acknowledgments: NSF 1741040
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A Template-Based Approach for Annotating Long-Tail Datasets. Garijo, D.; Yao, K.; Singh, A.; and Szekely, P. A. In Koubarakis, M.; Alani, H.; Antoniou, G.; Bontcheva, K.; Breslin, J. G.; Collarana, D.; Demidova, E.; Dietze, S.; Gottschalk, S.; Governatori, G.; Hogan, A.; Lécué, F.; Montiel-Ponsoda, E.; Ngomo, A. N.; Pinto, S.; Saleem, M.; Troncy, R.; Tsalapati, E.; Usbeck, R.; and Verborgh, R., editor(s), Joint Proceedings of Workshops AI4LEGAL2020, NLIWOD, PROFILES 2020, QuWeDa 2020 and SEMIFORM2020 Colocated with the 19th International Semantic Web Conference (ISWC 2020), Virtual Conference, November, 2020, volume 2722, of CEUR Workshop Proceedings, pages 97–102, 2020. CEUR-WS.org
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A global database of Holocene paleotemperature records. Kaufman, D.; McKay, N.; Routson, C.; Erb, M.; Davis, B.; Heiri, O.; Jaccard, S.; Tierney, J.; Dätwyler, C.; Axford, Y.; Brussel, T.; Cartapanis, O.; Chase, B.; Dawson, A.; de Vernal, A.; Engels, S.; Jonkers, L.; Marsicek, J.; Moffa-Sánchez, P.; Morrill, C.; Orsi, A.; Rehfeld, K.; Saunders, K.; Sommer, P. S.; Thomas, E.; Tonello, M.; Tóth, M.; Vachula, R.; Andreev, A.; Bertrand, S.; Biskaborn, B.; Bringué, M.; Brooks, S.; Caniupán, M.; Chevalier, M.; Cwynar, L.; Emile-Geay, J.; Fegyveresi, J.; Feurdean, A.; Finsinger, W.; Fortin, M.; Foster, L.; Fox, M.; Gajewski, K.; Grosjean, M.; Hausmann, S.; Heinrichs, M.; Holmes, N.; Ilyashuk, B.; Ilyashuk, E.; Juggins, S.; Khider, D.; Koinig, K.; Langdon, P.; Larocque-Tobler, I.; Li, J.; Lotter, A.; Luoto, T.; Mackay, A.; Magyari, E.; Malevich, S.; Mark, B.; Massaferro, J.; Montade, V.; Nazarova, L.; Novenko, E.; Pařil, P.; Pearson, E.; Peros, M.; Pienitz, R.; Płóciennik, M.; Porinchu, D.; Potito, A.; Rees, A.; Reinemann, S.; Roberts, S.; Rolland, N.; Salonen, S.; Self, A.; Seppä, H.; Shala, S.; St-Jacques, J.; Stenni, B.; Syrykh, L.; Tarrats, P.; Taylor, K.; van den Bos, V.; Velle, G.; Wahl, E.; Walker, I.; Wilmshurst, J.; Zhang, E.; and Zhilich, S. Scientific Data, 7(1): 115. April 2020.
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A gravity-based food flow model to identify the source of foodborne disease outbreaks. Schlaich, T.; Horn, A. L; Fuhrmann, M.; and Friedrich, H. International Journal of Environmental Research and Public Health, 17(2): 444. 2020.
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A neuromorphic SLAM architecture using gated-memristive synapses. Jones, A.; Rush, A.; Merkel, C.; Herrmann, E.; Jacob, A. P.; Thiem, C.; and Jha, R. Neurocomputing, 381: 89-104. 2020.
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AUTOMATIC PREDICTION OF SUICIDAL RISK IN MILITARY COUPLES USING MULTIMODAL INTERACTION CUES FROM COUPLES CONVERSATIONS. Chakravarthula, S. N.; Nasir, M.; Tseng, S.; Li, H.; Park, T. J.; Baucom, B.; Bryan, C.; Narayanan, S.; and Georgiou, P. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), May 2020.
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Accelerating FIU’s science research and education towards discovery and innovation by leveraging FIU’s Science DMZ. Chergarova, V.; Ibarra, J.; DCunha, C.; Kirgan, M.; Cabrera, R.; Rotella, D.; Bezerra, J.; Rotella, R.; and Morgan, H. AMCIS 2020, 7. 2020.
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Accelerating Federated Learning in Heterogeneous Data and Computational Environments. Stripelis, D.; and Ambite, J. L. arXiv:2008.11281. 2020.
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Advances in Collaboration in R&E Networking between Africa, Latin America, and the U.S. Morgan, H.; Lotz, L.; Cadenas, L. E.; and Hazin, A. UbuntuNet Connect 2020. 2020.
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Affect Estimation with Wearable Sensors. Yan, S.; Hosseinmardi, H.; Kao, H.; Narayanan, S.; Lerman, K.; and Ferrara, E. Journal of Healthcare Informatics Research,1–34. 2020.
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Affective Conditioning on Hierarchical Attention Networks applied to Depression Detection from Transcribed Clinical Interviews. Xezonaki, D.; Paraskevopoulos, G.; Potamianos, A.; and Narayanan, S. In In proceedings of Interspeech, Oct 2020.
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All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference. Brekelmans, R.; Masrani, V.; Wood, F.; Ver Steeg, G.; and Galstyan, A. In Thirty-seventh International Conference on Machine Learning (ICML 2020), July 2020.
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All in the exponential family: Bregman duality in thermodynamic variational inference. Brekelmans, R.; Masrani, V.; Wood, F.; Steeg, G. V.; and Galstyan, A. In ICML 2020, 2020.
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An Automatic Approach for Generating Rich, Linked Geo-Metadata from Historical Map Images. Li, Z.; Chiang, Y.; Tavakkol, S.; Shbita, B.; Uhl, J. H; Leyk, S.; and Knoblock, C. A In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pages 3290–3298, 2020.
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An Experimental Approach for Estimating Cyber Risk: a Proposal Building upon Cyber Ranges and Capture the Flags. Di Tizio, G.; Massacci, F.; Allodi, L.; Dashevskyi, S.; and Mirkovic, J. In Workshop on Cyber Range Technologies and Applications (CACOE), 2020.
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An Experimental Study of The Effects of Position Bias on Emotion CauseExtraction. Ding, J.; and Kejriwal, M. CoRR, abs/2007.15066. 2020.
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An On-Demand Weather Avoidance System for Small Aircraft Flight Path Routing. Lyons, E.; Westbrook, D.; Grote, A.; Papadimitriou, G.; Thareja, K.; Wang, C.; Zink, M.; Deelman, E.; Mandal, A.; and Ruth, P. In Darema, F.; Blasch, E.; Ravela, S.; and Aved, A., editor(s), Dynamic Data Driven Application Systems, pages 311–319, Cham, 2020. Springer International Publishing Funding Acknowledgments: NSF 1826997, 2018074
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An Open Ecosystem for Pervasive Use of Persistent Identifiers. Wagner, R.; D'Arcy, M.; Chard, K.; Ananthakrishnan, R.; Foster, I.; Pruyne, J.; McCollam, B.; Schuler, R.; Kesselman, C.; and Rocca-Serra, P. In Practice and Experience in Advanced Research Computing (PEARC20), Portland, Oregon, USA, July 2020.
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An empirical analysis of information encoded in disentangled neural speaker representations. Peri, R.; Li, H.; Somandepalli, K.; Jati, A.; and Narayanan, S. In Proceedings of Odyssey, Nov 2020.
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An integral-free representation of the Dyson series using divided differences. Kalev, A.; and Hen, I. 2020.
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Anchor Attention for Hybrid Crowd Forecasts Aggregation. Huang, Y.; Abeliuk, A.; Morstatter, F.; Atanasov, P.; and Galstyan, A. arXiv preprint arXiv:2003.12447. 2020.
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Annealed importance sampling with q-paths. Brekelmans, R.; Masrani, V.; Bui, T.; Wood, F.; Galstyan, A.; Steeg, G. V.; and Nielsen, F. arXiv preprint arXiv:2012.07823. 2020.
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Anycast Agility: Adaptive Routing to Manage DDoS. Rizvi, A.; Ceron, J.; Bertholdo, L.; and Heidemann, J. Technical Report arxiv:2006.14058v1, arXiv, June 2020.
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Apollo: An Adaptive Parameter-wise Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization. Ma, X. arXiv preprint arXiv:2009.13586. 2020.
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Application Aware Software Defined Flows of Workflow Ensembles. Papadimitriou, G.; Lyons, E.; Wang, C.; Thareja, K.; Tanaka, R.; Ruth, P.; Villalobos, J.; Rodero, I.; Deelman, E.; Zink, M.; and Mandal, A. In 2020 IEEE/ACM Innovating the Network for Data-Intensive Science (INDIS), pages 10-21, 2020. Funding Acknowledgments: NSF 1826997
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Automated Empathy Detection for Oncology Encounters. Chen, Z.; Gibson, J.; Chiu, M.; Hu, Q.; Knight, T.; Meeker, D.; Tulsky, J. A.; Pollak, K.; and Narayanan, S. In Proceedings of International Conference on Healthcare Informatics (ICHI 2020), Dec 2020.
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Automatic alignment of contemporary vector data and georeferenced historical maps using reinforcement learning. Duan, W.; Chiang, Y.; Leyk, S.; Uhl, J. H.; and Knoblock, C. A. International Journal of Geographical Information Science, 34(4): 824-849. 2020.
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BLAG: Improving the Accuracy of Blocklists. Ramanathan, S.; Mirkovic, J.; and Yu, M. In 27th Annual Network and Distributed System Security Symposium, NDSS, pages 23–26, 2020.
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Be the Phisher - Understanding Users' Perception of Malicious Domains. Quinkert, F.; Degeling, M.; Blythe, J.; and Holz, T. In 15th ACM ASIA Conference on Computer and Communications Security, of ACM ASIACCS 2020, 2020.
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Behavioral Determinants of Target Shifting and Deterrence in an Analog Cyber-Attack Game. Kusumastuti, S. A.; Blythe, J.; Rosoff, H.; and John, R. S. Risk Analysis, 40(3): 476-493. 2020.
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Benchmarking at the Frontier of Hardware Security: Lessons from Logic Locking. Tan, B.; Karri, R.; Limaye, N.; Sengupta, A.; Sinanoglu, O.; Rahman, M. M.; Bhunia, S.; Duvalsaint, D.; D., R.; Blanton; Rezaei, A.; Shen, Y.; Zhou, H.; Li, L.; Orailoglu, A.; Han, Z.; Benedetti, A.; Brignone, L.; Yasin, M.; Rajendran, J.; Zuzak, M.; Srivastava, A.; Guin, U.; Karfa, C.; Basu, K.; Menon, V. V.; French, M.; Song, P.; Stellari, F.; Nam, G.; Gadfort, P.; Althoff, A.; Tostenrude, J.; Fazzari, S.; Breckenfeld, E.; and Plaks, K. June 2020.
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Best Practices for Implementing FAIR Vocabularies and Ontologies on the Web. Garijo, D.; and Poveda, M. In Giuseppe Cota, M. D.; and Pozzato, G. L., editor(s), Applications and Practices in Ontology Design, Extraction, and Reasoning. IOS Press, Netherlands, 2020.
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Bidirectional Anycast/Unicast Probing (BAUP): Optimizing CDN Anycast. Wei, L.; Flores, M.; Bedi, H.; and Heidemann, J. In Proceedings of the IEEE Network Traffic Monitoring and Analysis Conference, Berlin, Germany, June 2020. IFIP
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Boltzmann machine modeling of layered MoS2 synthesis on a quantum annealer. Liu, J.; Mohan, A.; Kalia, R. K.; Nakano, A.; Nomura, K.; Vashishta, P.; and Yao, K. Computational Materials Science, 173: 109429. February 2020.
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Bringing in the outliers: A sparse subspace clustering approach to learn a dictionary of mouse vocalizations. Wang, J.; Mundnich, K.; Knoll, A.; Levitt, P.; and Narayanan, S. In Proceedings of ICASSP, May 2020.
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Building Autocorrelation-Aware Representations for Fine-Scale Spatiotemporal Prediction. Lin, Y; Chiang, Y.; Franklin, M; Eckel, P S; and Ambite, J L In Proceedings of IEEE International Conference on Data Mining (ICDM), 2020.
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Building linked spatio-temporal data from vectorized historical maps. Shbita, B.; Knoblock, C. A; Duan, W.; Chiang, Y.; Uhl, J. H; and Leyk, S. In European Semantic Web Conference, pages 409–426, 2020. Springer
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CSKG: The CommonSense Knowledge Graph. Ilievski, F.; Szekely, P.; and Zhang, B. arXiv preprint arXiv:2012.11490. 2020.
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Calculating the divided differences of the exponential function by addition and removal of inputs. Gupta, L.; Barash, L.; and Hen, I. Computer Physics Communications, 254: 107385. 2020.
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Can Badges Foster a More Welcoming Culture on Q&A Boards?. Santos, T.; Burghardt, K.; Lerman, K.; and Helic, D. In Proceedings of the International AAAI Conference on Web and Social Media, volume 14, pages 969–973, 2020.
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Can Badges Foster a More Welcoming Culture on Q&A Boards?. Santos, T.; Burghardt, K.; Lerman, K.; and Helic, D. Proceedings of the International AAAI Conference on Web and Social Media, 14(1): 969-973. May 2020.
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Can Oncologists Predict the Efficacy of Treatments in Randomized Trials?. Benjamin, D.; Mandel, D. R.; Barnes, T.; Krzyzanowska, M.; Leighl, N.; Tannock, I.; and Kimmelman, J. , 26: 56–62. 2020. _eprint: https://theoncologist.onlinelibrary.wiley.com/doi/pdf/10.1634/theoncologist.2020-0054
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Can Sequence-to-Sequence Models Crack Substitution Ciphers?. Aldarrab, N.; and May, J. 2020.
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Challenges in Forecasting Malicious Events from Incomplete Data. Tavabi, N.; Abeliuk, A.; Mokhberian, N.; Abramson, J.; and Lerman, K. In Companion Proceedings of the Web Conference 2020, pages 603–610, 2020.
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Characterizing social media manipulation in the 2020 U.S. presidential election. Ferrara, E.; Chang, H.; Chen, E.; Muric, G.; and Patel, J. First Monday. oct 2020.
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Characterizing, Modeling, and Accurately Simulating Power and Energy Consumption of I/O-intensive Scientific Workflows. Ferreira da Silva, R.; Casanova, H.; Orgerie, A.; Tanaka, R.; Deelman, E.; and Suter, F. Journal of Computational Science, 44: 101157. 2020. Funding Acknowledgments: NSF 1642335, NSF 1923539, NSF 1664162, DOE DE-SC0012636
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Clinical state tracking in serious mental illness through computational analysis of speech. Arevian, A.; Bone, D.; Malandrakis, N.; Martinez, V.; Wells, K.; Miklowitz, D.; and Narayanan, S. PLoS ONE, 15(1): e0225695. Jan 2020.
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Clouding up the Internet. Hardaker, W. Talk at IMC, October 2020.
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Clouding up the Internet: how centralized is DNS traffic becoming?. Hardaker, W. Talk at DNS-OARC, September 2020.
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Collaborative packet header parsing in NetFPGA-based high speed switches. Sankaran, G. C; and Sivalingam, K. M IEEE Networking Letters, 2(3): 124–127. 2020.
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Combining Conceptual and Referential Annotation to Study Variation in Framing. Postma, M.; Remijnse, L.; Ilievski, F.; Fokkens, A.; Titarsolej, S.; and Vossen, P. In Proceedings of the International FrameNet Workshop 2020: Towards a Global, Multilingual FrameNet, pages 31–40, 2020.
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Coming to terms with FAIR ontologies: A position paper. Poveda-Villalón, M.; Espinoza-Arias, P.; Garijo, D.; and Corcho, O. In Proceedings of the 22nd International Conference on Knowledge Engineering and Knowledge Management (EKAW 2020), pages 255-270, September 2020.
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Commonsense knowledge in wikidata. Ilievski, F.; Szekely, P.; and Schwabe, D. arXiv preprint arXiv:2008.08114. 2020.
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Comparative Evaluation of IP Address Anti-Spoofing Mechanisms using a P4/NetFPGA-based Switch. Gondaliya, H.; Sankaran, G. C; and Sivalingam, K. M In Proceedings of the 3rd P4 Workshop in Europe, pages 1–6, 2020.
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Comparison of Patient and Expert Perceptions of the Attainment of Research Milestones in Parkinson's Disease. Kane, P. B.; Benjamin, D. M.; Barker, R. A.; Lang, A. E.; Sherer, T.; and Kimmelman, J. . October 2020. _eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/mds.28319
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Compiler abstractions and runtime for extreme-scale sar and cfd workloads. Imes, C.; Colin, A.; Zhang, N.; Srivastava, A.; Prasanna, V.; and Walters, J. P. In 2020 IEEE/ACM Fifth International Workshop on Extreme Scale Programming Models and Middleware (ESPM2), pages 1–7, 2020. IEEE
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Conic Affinity Measures to Design Speech Enhancement Systems Operating in Unseen Noise Conditions. Papadopoulos, P.; and Narayanan, S. In In proceedings of Interspeech, Oct 2020.
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Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering. Wang, P.; Peng, N.; Ilievski, F.; Szekely, P.; and Ren, X. EMNLP Findings. 2020.
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Connecting the Dots: Event Graph Schema Induction with Path Language Modeling. Li, M.; Zeng, Q.; Lin, Y.; Cho, K.; Ji, H.; May, J.; Chambers, N.; and Voss, C. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 684–695, Online, November 2020. Association for Computational Linguistics
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Connecting the dots: A knowledgeable path generator for commonsense question answering. Wang, P.; Peng, N.; Szekely, P.; and Ren, X. arXiv preprint arXiv:2005.00691. 2020.
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Consistent and Secure Network Updates Made Practical. Lembke, J.; Ravi, S.; Roman, P.; and Eugster, P. In Silva, D. D.; and Kapitza, R., editor(s), Middleware '20: 21st International Middleware Conference, Delft, The Netherlands, December 7-11, 2020, pages 149–162, 2020. ACM
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Consolidating commonsense knowledge. Ilievski, F.; Szekely, P.; Cheng, J.; Zhang, F.; and Qasemi, E. arXiv preprint arXiv:2006.06114. 2020.
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Control behavior integrity for distributed cyber-physical systems. Adepu, S.; Brasser, F.; Garcia, L.; Rodler, M.; Davi, L.; Sadeghi, A.; and Zonouz, S. In 2020 ACM/IEEE 11th International Conference on Cyber-Physical Systems (ICCPS), pages 30–40, 2020. IEEE
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Conversational correlates of rapid social judgments of children and adolescents with and without ASD. Shield, A.; Wang, X.; Bone, D.; Narayanan, S.; and Grossman, R. Clinical Linguistics and Phonetics,1-13. Jun 2020. PMID: 32520595
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Cross-lingual Structure Transfer for Zero-resource Event Extraction. Lu, D.; Subburathinam, A.; Ji, H.; May, J.; Chang, S.; Sil, A.; and Voss, C. In Proceedings of The 12th Language Resources and Evaluation Conference, pages 1976–1981, Marseille, France, May 2020. European Language Resources Association
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DNS, Identity, and Internet Naming for Experimentation and Research (DIINER). Story, R.; Hardaker, W.; Heidemann, J.; Elkins, M.; and Pradkin, Y. Presentation at RIPE 81, October 2020.
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DNS, Identity, and Internet Naming for Experimentation and Research (DIINER). Hardaker, W. Talk at DNS-OARC, June 2020.
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De-Signing Hamiltonians for Quantum Adiabatic Optimization. Crosson, E.; Albash, T.; Hen, I.; and Young, A. P. Quantum, 4: 334. September 2020.
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Deblurring for Spiral Real-Time MRI Using Convolutional Neural Networks. Lim, Y.; Bliesener, Y.; Narayanan, S.; and Nayak, K. Magnetic Resonance in Medicine. Jul 2020.
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Deblurring for spiral real-time MRI using convolutional neural networks. Lim, Y.; Narayanan, S.; and Nayak, K. In Proceedings of Medical Imaging with Deep Learning (MIDL 2020), Jul 2020.
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Delay-based Identification of Internet Block Movement. Gharaibeh, M.; Papadopoulos, C.; Heidemann, J.; and Partridge, C. Technical Report CS-20-101, Colorado State University Computer Science Department , April 2020.
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Design and Analysis of Fast IP Address-Lookup Schemes based on Cooperation Among Routers. Sankaran, G. C; and Sivalingam, K. M In 2020 International Conference on COMmunication Systems & NETworkS (COMSNETS), pages 330–339, 2020. IEEE
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Detecting Anomalous Packets in Network Transfers: Investigations using PCA, Autoencoder and Isolation Forest in TCP. Kiran, M.; Wang, C.; Papadimitriou, G.; Mandal, A.; and Deelman, E. Machine Learning. 2020. Funding Acknowledgments: DOE DESC0012636
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Detecting IoT Devices in the Internet. Guo, H.; and Heidemann, J. ACM/IEEE Transactions on Networking, 28(5). October 2020.
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Detecting troll behavior via inverse reinforcement learning: A case study of russian trolls in the 2016 us election. Luceri, L.; Giordano, S.; and Ferrara, E. In Proceedings of the international AAAI conference on web and social media, volume 14, pages 417–427, 2020.
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Determining QMC simulability with geometric phases. Hen, I. arXiv e-prints,arXiv:2012.02022. December 2020.
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Developing Accurate and Scalable Simulators of Production Workflow Management Systems with WRENCH. Casanova, H.; Ferreira da Silva, R.; Tanaka, R.; Pandey, S.; Jethwani, G.; Koch, W.; Albrecht, S.; Oeth, J.; and Suter, F. Future Generation Computer Systems, 112: 162–175. 2020. Funding Acknowledgments: NSF 1642335, NSF 1923539
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Digital weapons in social media manipulation campaigns. Cardoso, F.; Luceri, L.; and Giordano, S. In Workshop Proceedings of the 14th International AAAI Conference on Web and Social Media, 2020.
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Discovering patterns of online popularity from time series. Ozer, M.; Sapienza, A.; Abeliuk, A.; Muric, G.; and Ferrara, E. Expert Systems with Applications, 151: 113337. aug 2020.
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Discriminating nonisomorphic graphs with an experimental quantum annealer. Gonzalez Izquierdo, Z.; Zhou, R.; Markström, K.; and Hen, I. Phys. Rev. A, 102: 032622. Sep 2020.
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Do Fine-tuned Commonsense Language Models Really Generalize?. Kejriwal, M.; and Shen, K. CoRR, abs/2011.09159. 2020.
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Domain Agnostic Prototypical Distribution for Unsupervised Model Adaptation. Rostami, M.; and Galstyan, A. . 2020.
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DyNamo: Scalable Weather Workflow Processing in the Academic MultiCloud. Lyons, E.; Zink, M.; Mandal, A.; Wang, C.; Ruth, P.; Radhakrishnan, C.; Papadimitriou, G.; Deelman, E.; Thareja, K.; and Rodero, I. 100th American Meteorological Society Annual Meeting. 2020. Funding Acknowledgments: NSF 1826997
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Dyadic imbalance in networks. Burghardt, K.; and Maoz, Z. Journal of Complex Networks, 8(1). 02 2020. cnaa001
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Dynamic Topology Reconfiguration of Boltzmann Machines on Quantum Annealers. Liu, J.; Yao, K.; and Spedalieri, F. Entropy, 22(11): 1202. November 2020. Number: 11 Publisher: Multidisciplinary Digital Publishing Institute
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Dynamical systems modeling of day-to-day signal-based patterns of emotional self-regulation and stress spillover in highly-demanding health professions. Hadjiantonis, G.; Paromita, P.; Mundnich, K.; Nadarajan, A.; Booth, B.; Narayanan, S.; and Chaspari, T. In In proceedings of 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC2020), Jul 2020.
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ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries. Thompson, P. M.; Jahanshad, N.; Ching, C. R. K.; Salminen, L. E.; Thomopoulos, S. I.; Bright, J.; Baune, B. T.; Bertolín, Sara; Bralten, J.; Bruin, W. B.; Bülow, R.; Chen, J.; Chye, Y.; Dannlowski, U.; de Kovel, C. G. F.; Donohoe, G.; Eyler, L. T.; Faraone, S. V.; Favre, P.; Filippi, C. A.; Frodl, T.; Garijo, D.; Gil, Y.; Grabe, H. J.; Grasby, K. L.; Hajek, T.; Han, L. K. M.; Hatton, S. N.; Hilbert, K.; Ho, T. C.; Holleran, L.; Homuth, G.; Hosten, N.; Houenou, J.; Ivanov, I.; Jia, T.; Kelly, S.; Klein, M.; Kwon, J. S.; Laansma, M. A.; Leerssen, J.; Lueken, U.; Nunes, A.; Neill, J. O.; Opel, N.; Piras, F.; Piras, F.; Postema, M. C.; Pozzi, E.; Shatokhina, N.; Soriano-Mas, C.; Spalletta, G.; Sun, D.; Teumer, A.; Tilot, A. K.; Tozzi, L.; van der Merwe, C.; Van Someren, E. J. W.; van Wingen, G. A.; Völzke, H.; Walton, E.; Wang, L.; Winkler, A. M.; Wittfeld, K.; Wright, M. J.; Yun, J.; Zhang, G.; Zhang-James, Y.; Adhikari, B. M.; Agartz, I.; Aghajani, M.; Aleman, A.; Althoff, R. R.; Altmann, A.; Andreassen, O. A.; Baron, D. A.; Bartnik-Olson, B. L.; Marie Bas-Hoogendam, J.; Baskin-Sommers, A. R.; Bearden, C. E.; Berner, L. A.; Boedhoe, P. S. W.; Brouwer, R. M.; Buitelaar, J. K.; Caeyenberghs, K.; Cecil, C. A. M.; Cohen, R. A.; Cole, J. H.; Conrod, P. J.; De Brito, S. A.; de Zwarte, S. M. C.; Dennis, E. L.; Desrivieres, S.; Dima, D.; Ehrlich, S.; Esopenko, C.; Fairchild, G.; Fisher, S. E.; Fouche, J.; Francks, C.; Frangou, S.; Franke, B.; Garavan, H. P.; Glahn, D. C.; Groenewold, N. A.; Gurholt, T. P.; Gutman, B. A.; Hahn, T.; Harding, I. H.; Hernaus, D.; Hibar, D. P.; Hillary, F. G.; Hoogman, M.; Hulshoff Pol, H. E.; Jalbrzikowski, M.; Karkashadze, G. A.; Klapwijk, E. T.; Knickmeyer, R. C.; Kochunov, P.; Koerte, I. K.; Kong, X.; Liew, S.; Lin, A. P.; Logue, M. W.; Luders, E.; Macciardi, F.; Mackey, S.; Mayer, A. R.; McDonald, C. R.; McMahon, A. B.; Medland, S. E.; Modinos, G.; Morey, R. A.; Mueller, S. C.; Mukherjee, P.; Namazova-Baranova, L.; Nir, T. M.; Olsen, A.; Paschou, P.; Pine, D. S.; Pizzagalli, F.; Rentería, Miguel E.; Rohrer, J. D.; Sämann, P. G.; Schmaal, L.; Schumann, G.; Shiroishi, M. S.; Sisodiya, S. M.; Smit, D. J. A.; Sønderby, I. E.; Stein, D. J.; Stein, J. L.; Tahmasian, M.; Tate, D. F.; Turner, J. A.; van den Heuvel, O. A.; van der Wee, N. J. A.; van der Werf, Y. D.; van Erp, T. G. M.; van Haren, N. E. M.; van Rooij, D.; van Velzen, L. S.; Veer, I. M.; Veltman, D. J.; Villalon-Reina, J. E.; Walter, H.; Whelan, C. D.; Wilde, E. A.; Zarei, M.; Zelman, V.; and Consortium, t. E. Translational Psychiatry, 10(1): 100. March 2020.
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Efficient simulation of so-called non-stoquastic superconducting flux circuits. Halverson, T.; Gupta, L.; Goldstein, M.; and Hen, I. arXiv e-prints,arXiv:2011.03831. November 2020.
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Elucidating the Interplay between Non-Stoquasticity and the Sign Problem. Gupta, L.; and Hen, I. Advanced Quantum Technologies, 3(1): 1900108. 2020.
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Emulating and Verifying Sensing, Computation, and Communication in Distributed Remote Sensing Systems. French, M.; Paolieri, M.; Menon, V.; and Schmidt, A. G. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2020.
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Emulating and Verifying Sensing, Computation, and Communication in Distributed Remote Sensing Systems. French, M.; Paolieri, M.; Menon, V. V.; and Schmdit, A. December 2020.
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Emulating and Verifying Sensing, Computation, and Communication in Distributed Remote Sensing Systems. M. French, M. P.; and V. Menon, A. S. 2020.
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Enabling Low-Resource Transfer Learning across COVID-19 Corpora by Combining Event-Extraction and Co-Training. Spangher, A.; Peng, N.; May, J.; and Ferrara, E. In Proceedings of the 1st Workshop on NLP for COVID-19 at ACL 2020, Online, July 2020. Association for Computational Linguistics
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Estimation of COVID-19 risk-stratified epidemiological parameters and policy implications for Los Angeles County through an integrated risk and stochastic epidemiological model. Horn, A. L; Jiang, L.; Washburn, F.; Hvitfeldt, E.; de la Haye, K.; Nicholas, W.; Simon, P.; Pentz, M.; Cozen, W.; Sood, N.; and others medRxiv,2020–12. 2020.
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Evaluation of Remote-Sensing Architectures using the Virtual Constellation Engine. M. Paolieri, V. M.; and French, M. 2020.
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Experience Grounds Language. Bisk, Y.; Holtzman, A.; Thomason, J.; Andreas, J.; Bengio, Y.; Chai, J.; Lapata, M.; Lazaridou, A.; May, J.; Nisnevich, A.; Pinto, N.; and Turian, J. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 8718–8735, Online, November 2020. Association for Computational Linguistics
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Extended DNS Errors. Kumari, W.; Hunt, E.; Arends, R.; Hardaker, W.; and Lawrence, D. RFC 8914 (Proposed Standard), October 2020.
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Extending the Beta divergence to complex values. Vaz, C.; and Narayanan, S. Pattern Recognition Letters. Apr 2020.
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Eyes on URLs: Relating Visual Behavior to Safety Decisions. Kothari, V.; Mills, C.; Ramkumar, N.; Blythe, J.; Koppel, R.; Smith, S.; and Kun, A. In ACM Symposium on Eye Tracking Research and Applications, 2020.
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FAIR Computational Workflows. Goble, C. A.; Cohen-Boulakia, S.; Soiland-Reyes, S.; Garijo, D.; Gil, Y.; Crusoe, M. R.; Peters, K.; and Schober, D. Data Intell., 2(1-2): 108–121. 2020.
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FAIR Computational Workflows. Carole Goble, S. C.; Stian Soiland-Reyes, D. G.; Yolanda Gil, M. R. C.; and Kristian Peters, D. S. Data Intelligence, Special Issue on FAIR (Findable, Accessible, Interoperable and Reusable) Principles, 2(1-2). 2020.
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FPGA Virtualization for Deprecated Devices. Taras, I.; and Schmidt, A. G. In IEEE 28th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 2020.
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FaceBase 3: analytical tools and FAIR resources for craniofacial and dental research. Samuels, B. D.; Aho, R.; Brinkley, J. F.; Bugacov, A.; Feingold, E.; Fisher, S.; Gonzalez-Reiche, A. S.; Hacia, J. G.; Hallgrimsson, B.; Hansen, K.; Harris, M. P.; Ho, T.; Holmes, G.; Hooper, J. E.; Jabs, E. W.; Jones, K. L.; Kesselman, C.; Klein, O. D.; Leslie, E. J.; Li, H.; Liao, E. C.; Long, H.; Lu, N.; Maas, R. L.; Marazita, M. L.; Mohammed, J.; Prescott, S.; Schuler, R.; Selleri, L.; Spritz, R. A.; Swigut, T.; van Bakel, H.; Visel, A.; Welsh, I.; Williams, C.; Williams, T. J.; Wysocka, J.; Yuan, Y.; and Chai, Y. Development, 147(18): dev191213. September 2020.
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Fifty Shades of Green: Towards a RobustMeasure of Inter-annotator Agreement for Continuous Signals. Booth, B.; and Narayanan, S. In In proceedings of ICMI, Oct 2020.
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Finding the Optimal Vocabulary Size for Neural Machine Translation. Gowda, T.; and May, J. In Findings of the Association for Computational Linguistics: EMNLP 2020, pages 3955–3964, Online, November 2020. Association for Computational Linguistics
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Finding the Optimal Vocabulary Size for Neural Machine Translation. \textbfGowda, Thamme; and May, J. In Findings of the Association for Computational Linguistics: EMNLP 2020, pages 3955–3964, Online, November 2020. Association for Computational Linguistics
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Forecasting violent events in the middle East and North Africa using the hidden Markov model and regularized autoregressive models. Hossain, K. T.; Gao, S.; Kennedy, B.; Galstyan, A.; and Natarajan, P. The Journal of Defense Modeling and Simulation, 17(3): 269–283. 2020.
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Forecasts for the Attainment of Major Research Milestones in Parkinson's Disease. Kane, P. B.; Benjamin, D. M.; Barker, R. A.; Lang, A. E.; Sherer, T.; and Kimmelman, J. , 10(3): 1047–1055. 2020. Publisher: IOS Press
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Friendship paradox biases perceptions in directed networks. Alipourfard, N.; Nettasinghe, B.; Abeliuk, A.; Krishnamurthy, V.; and Lerman, K. Nature communications, 11(1): 1–9. 2020.
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Functional Read Enabling In-Memory Computations in 1Transistor—1Resistor Memory Arrays. Jaiswal, A.; Andrawis, R.; Agrawal, A.; and Roy, K. IEEE Transactions on Circuits and Systems II: Express Briefs, 67(12): 3347–3351. 2020.
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GAIA: A Fine-grained Multimedia Knowledge Extraction System. Li, M.; Zareian, A.; Lin, Y.; Pan, X.; Whitehead, S.; Chen, B.; Wu, B.; Ji, H.; Chang, S.; Voss, C.; Napierski, D.; and Freedman, M. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 77–86, Online, July 2020. Association for Computational Linguistics
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GAWSEED. Hardaker, W. ISI Research Day, January 2020.
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Gearing the DECam Analysis Pipeline for Multi-Messenger Astronomy Using Pegasus Workflows. Vahi, K.; Goldstein, D.; Papadimitriou, G.; Nugent, P.; and Deelman, E. In Pizzo, R.; Deul, E.; Mol, J.; de Plaa , J.; and Verkouter, H., editor(s), Astronomical Data Analysis Software and Systems XXIX, volume 527, of Astronomical Society of the Pacific Conference Series, pages 631, January 2020. Funding Acknowledgments: NSF 1664162, DOE DESC0012636
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Generating and Understanding Personalized Explanations in Hybrid Recommender Systems. Kouki, P.; Schaffer, J.; Pujara, J.; O'Donovan, J.; and Getoor, L. ACM Transactions on Interactive Intelligent Systems, 10(4): 1-40. 2020.
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Generative Continual Concept Learning. Rostami, M.; Kolouri, S.; Pilly, P. K; and McClelland, J. In AAAI, pages 5545–5552, 2020.
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Graph Embedding with Personalized Context Distribution. Huang, D.; He, Z.; Huang, Y.; Sun, K.; Abu-El-Haija, S.; Perozzi, B.; Lerman, K.; Morstatter, F.; and Galstyan, A. In Companion Proceedings of the Web Conference 2020, pages 655–661, 2020.
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Graph vertex sampling with arbitary graph signal hilbert spaces. Girault, B.; Ortega, A.; and Narayanan, S. In Proceedings of ICASSP, May 2020.
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Grounding Conversations with Improvised Dialogues. Cho, H.; and May, J. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 2398–2413, Online, July 2020. Association for Computational Linguistics
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Group-specific models of healthcare workers well-being using iterative participant clustering. Ravuri, V.; Paromita, P.; Mundnich, K.; Nadarajan, A.; Booth, B. M; Narayanan, S. S; and Chaspari, T. In 2020 Second International Conference on Transdisciplinary AI (TransAI), pages 115-118, 2020. IEEE
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Guided matter wave inertial sensing in a miniature physics package. Nelson, K.; Fertig, C.; Hamilton, P.; Brown, J.; Estey, B.; Müller, H.; and Compton, R. Applied Physics Letters, 116(23). 2020.
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Hardness and Ease of Curing the Sign Problem for Two-Local Qubit Hamiltonians. Klassen, J.; Marvian, M.; Piddock, S.; Ioannou, M.; Hen, I.; and Terhal, B. M. SIAM Journal on Computing, 49(6): 1332-1362. 2020.
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How an aglossic speaker produces an alveolar-like percept without a functional tongue tip. Toutios, A.; Byrd, D.; Goldstein, L.; and Narayanan, S. J. Acoust. Soc. Am.. Jun 2020.
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Human Languages in Source Code: Auto-Translation for Localized Instruction. Abu-El-Haija, C. P. A. S. In Learning at Scale, 2020.
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Hybrid vanadate silicon nanophotonic platform for extreme light management at telecom bands. Bian, Y.; Jacob, A.; Lee, W. S.; Peng, B.; Rakowski, M.; Aboketaf, A.; and Augur, R. In 2020 IEEE 70th Electronic Components and Technology Conference (ECTC), pages 168-174, June 2020.
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IMAC: In-memory multi-bit multiplication and ACcumulation in 6T SRAM array. Ali, M.; Jaiswal, A.; Kodge, S.; Agrawal, A.; Chakraborty, I.; and Roy, K. IEEE Transactions on Circuits and Systems I: Regular Papers, 67(8): 2521–2531. 2020.
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Identifying Execution Anomalies for Data Intensive Workflows Using Lightweight ML Techniques. Wang, C.; Papadimitriou, G.; Kiran, M.; Mandal, A.; and Deelman, E. In 2020 IEEE High Performance Extreme Computing Conference (HPEC), pages 1-7, 2020. Funding Acknowledgments: DOE DESC0012636
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Identifying Truthful Language in Child Interviews. Ardulov, V.; Durante, Z.; Williams, S.; Lyon, T.; and Narayanan, S. In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 8074-8078, May 2020.
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Scanner invariant representations for diffusion MRI harmonization. Moyer, D.; Ver Steeg, G.; Tax, C. M. W.; and Thompson, P. M. Magnetic Resonance in Medicine, 84(4): 2174-2189. 2020.
Scanner invariant representations for diffusion MRI harmonization [link]Paper doi link bibtex abstract
Screenplay Quality Assessment: Can We Predict Who Gets Nominated?. Chiu, M.; Feng, T.; Ren, X.; and Narayanan, S. In Proceedings of the First Joint Workshop on Narrative Understanding, Storylines, and Events, pages 11-16, Online, July 2020. Association for Computational Linguistics
Screenplay Quality Assessment: Can We Predict Who Gets Nominated? [link]Paper doi link bibtex abstract
Sentence level estimation of psycholinguistic norms using joint multidimensional annotations. Ramakrishna, A.; and Narayanan, S. In In proceedings of Interspeech, Oct 2020.
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Separation and Equivalence results for the Crash-stop and Crash-recovery Shared Memory Models. Ben-Baruch, O.; and Ravi, S. CoRR, abs/2012.03692. 2020.
Separation and Equivalence results for the Crash-stop and Crash-recovery Shared Memory Models [link]Paper link bibtex
Sequential Model Adaptation Using Domain Agnostic Internal Distributions. Rostami, M.; and Galstyan, A. arXiv preprint arXiv:2007.00197. 2020.
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Sequential unsupervised domain adaptation through prototypical distributions. Rostami, M.; and Galstyan, A. . 2020.
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Speaker Diarization for Naturalistic Child-Adult Conversational Interactions using Contextual Information. Kumar, M.; Kim, S. H.; Lord, C.; and Narayanan, S. J. Acoust. Soc. Am., 147: EL196-EL200. Feb 2020.
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Speaker diarization using latent space clustering in generative adversarial network. Pal, M.; Kumar, M.; Peri, R.; Park, T.; Kim, S.; Lord, C.; Bishop, S.; and Narayanan, S. In Proceedings of ICASSP, May 2020.
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Stacking models for nearly optimal link prediction in complex networks. Ghasemian, A.; Hosseinmardi, H.; Galstyan, A.; Airoldi, E. M; and Clauset, A. Proceedings of the National Academy of Sciences, 117(38): 23393–23400. 2020.
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StereoBit: StereoBit: An innovative SpaceCube Application for Atmospheric Science. J. Carr, C. W.; and D. Wu, M. F. 2020.
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Structural studies of the global networks exposed in the Panama papers. Kejriwal, M.; and Dang, A. Appl. Netw. Sci., 5(1): 63. 2020.
Structural studies of the global networks exposed in the Panama papers [link]Paper doi link bibtex
TILES-2018, a longitudinal physiologic and behavioral data set of hospital workers. Mundnich, K.; Booth, B. M; l�Hommedieu , M.; Feng, T.; Girault, B.; L�hommedieu, J.; Wildman, M.; Skaaden, S.; Nadarajan, A.; Villatte, J. L; and others Scientific Data, 7(1): 1–26. 2020.
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TILES-2018: A longitudinal physiologic and behavioral data set of hospital workers. Mundnich, K.; Booth, B.; Hommedieu, M.; Feng, T.; Girault, B.; Hommedieu, J.; Wildman, M.; Skaaden, S.; Nadarajan, A.; Villatte, J.; Falk, T.; Lerman, K.; Ferrara, E.; and Narayanan, S. Scientific Data (Nature Research), 7: 354. Oct 2020.
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Teaching Machine Comprehension with Compositional Explanations. Ye, Q.; Huang, X.; Boschee, E.; and Ren, X. In Findings of the Association for Computational Linguistics: EMNLP 2020, pages 1599–1615, Online, November 2020. Association for Computational Linguistics
Teaching Machine Comprehension with Compositional Explanations [link]Paper doi link bibtex abstract
Technical Deep Dive on DNS. Hardaker, W. Talk at IETF, July 2020.
Technical Deep Dive on DNS [link]Paper link bibtex
Testing a quantum annealer as a quantum thermal sampler. Izquierdo, Z. G.; Albash, T.; and Hen, I. 2020.
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The DARPA SocialSim Challenge: Cross-platform Multi-Agent Simulations. Muric, G.; ; Tregubov, A.; Blythe, J.; Abeliuk, A.; Choudhary, D.; Lerman, K.; and Ferrara, E. In International Conference on Practical Applications of Agents and Multi-Agent Systems AAMAS, 2020.
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The INTERSPEECH 2020 Far-Field Speaker Verification Challenge. Qin, X.; Li, M.; Bu, H.; Rao, W.; Das, R.; Narayanan, S.; and Li, H. In In proceedings of Interspeech, Oct 2020.
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The Pegasus Workflow Management System: Translational Computer Science in Practice. Deelman, E.; Ferreira da Silva, R.; Vahi, K.; Rynge, M.; Mayani, R.; Tanaka, R.; Whitcup, W.; and Livny, M. Journal of Computational Science. 2020. Funding Acknowledgments: NSF 1664162
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The Role of Annotation Fusion Methods in the Study of Human-Reported Emotion Experience During Music Listening. Greer, T.; Mundnich, K.; Sachs, M.; and Narayanan, S. In Proceedings of ICASSP, May 2020.
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The Workflow Trace Archive: Open-Access Data from Public and Private Computing Infrastructures. Versluis, L.; Mathá, R.; Talluri, S.; Hegeman, T.; Prodan, R.; Deelman, E.; and Iosup, A. IEEE Transactions on Parallel and Distributed Systems, 31(9): 2170-2184. 2020. Funding Acknowledgments: NSF 1664162
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The genetic architecture of the human cerebral cortex. Grasby, K. L.; Jahanshad, N.; Painter, J. N.; Colodro-Conde, L.; Bralten, J.; Hibar, D. P.; Lind, P. A.; Pizzagalli, F.; Ching, C. R. K.; McMahon, M. A. B.; Shatokhina, N.; Zsembik, L. C. P.; Thomopoulos, S. I.; Zhu, A. H.; Strike, L. T.; Agartz, I.; Alhusaini, S.; Almeida, M. A. A.; Alnæs, D.; Amlien, I. K.; Andersson, M.; Ard, T.; Armstrong, N. J.; Ashley-Koch, A.; Atkins, J. R.; Bernard, M.; Brouwer, R. M.; Buimer, E. E. L.; Bülow, R.; Bürger, C.; Cannon, D. M.; Chakravarty, M.; Chen, Q.; Cheung, J. W.; Couvy-Duchesne, B.; Dale, A. M.; Dalvie, S.; de Araujo, T. K.; de Zubicaray, G. I.; de Zwarte, S. M. C.; den Braber, A.; Dõan, N. T.; Dohm, K.; Ehrlich, S.; Engelbrecht, H.; Erk, S.; Fan, C. C.; Fedko, I. O.; Foley, S. F.; Ford, J. M.; Fukunaga, M.; Garrett, M. E.; Ge, T.; Giddaluru, S.; Goldman, A. L.; Green, M. J.; Groenewold, N. A.; Grotegerd, D.; Gurholt, T. P.; Gutman, B. A.; Hansell, N. K.; Harris, M. A.; Harrison, M. 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The role of knowledge in determining identity of long-tail entities. Ilievski, F.; Hovy, E.; Vossen, P.; Schlobach, S.; and Xie, Q. Journal of Web Semantics, 61: 100565. 2020.
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The transsortative structure of networks. Ngo, S.; Percus, A. G; Burghardt, K.; and Lerman, K. Proceedings of the Royal Society A, 476(2237): 20190772. 2020.
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Toward orchestration of complex networking experiments. Hussain, A.; Jaipuria, P.; Lawler, G.; Schwab, S.; and Benzel, T. In 13th USENIX Workshop on Cyber Security Experimentation and Test (CSET 20), 2020.
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Towards Co-Evolution of Data-Centric Ecosystems. Schuler, R.; Czajkowski, K.; D'Arcy, M.; Tangmunarunkit, H.; and Kesselman, C. In 32nd International Conference on Scientific and Statistical Database Management, pages 1–12, Vienna Austria, July 2020. ACM
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Towards Learning Representations of Binary Executable Files for Security Tasks. Arakelyan, S.; Hauser, C.; Kline, E.; and Galstyan, A. . 2020.
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Towards automating time series analysis for the paleogeosciences. Khider, D.; Athreya, P.; Ratnakar, V.; Gil, Y.; Zhu, F.; Kwan, M.; and Emile-Geay, J. In San Diego, California, USA, 2020. ACM, New York, NY, USA
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Towards end-2-end learning for predicting behavior codes from spoken utterances in psychotherapy conversations. Singla, K.; Chen, Z.; Atkins, D.; and Narayanan, S. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 3797-3803, Online, Jul 2020. Association for Computational Linguistics
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Towards low-loss monolithic silicon and nitride photonic building blocks in state-of-the-art 300mm CMOS foundry. Bian, Y.; Ayala, J.; Meagher, C.; Peng, B.; Rakowski, M.; Jacob, A.; Nummy, K.; Stricker, A.; Sowinski, Z.; Sahin, A.; Aboketaf, A.; Hu, S.; Stobert, I.; Mclean, K.; Medina, L.; Dezfulian, K.; Harris, B.; Krishnamurthy, S.; Houghton, T.; Lee, W. S.; Sorbara, M.; Riggs, D.; Letavic, T.; Yu, A.; Giewont, K.; and Pellerin, J. In Frontiers in Optics / Laser Science, 2020. Optical Society of America
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Tracking Social Media Discourse About the COVID-19 Pandemic: Development of a Public Coronavirus Twitter Data Set. Chen, E.; Lerman, K.; and Ferrara, E. JMIR Public Health Surveill, 6(2): e19273. May 2020.
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Trapezoidal Segment Sequencing: A Novel Approach for Fusion of Human-produced Continuous Annotations. Booth, B.; and Narayanan, S. In Proceedings of ICASSP, May 2020.
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UWHear: through-wall extraction and separation of audio vibrations using wireless signals. Wang, Z.; Chen, Z.; Singh, A. D.; Garcia, L.; Luo, J.; and Srivastava, M. B In Proceedings of the 18th Conference on Embedded Networked Sensor Systems, pages 1–14, 2020.
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Ultra-Compact Waveguide Crossings using Cosine Tapers on a Monolithic Silicon Photonics Platform. Chandran, S.; Bian, Y.; Moreira, P.; Jacob, A.; Dahlem, M. S.; Gebregiorgis, Y.; Papadovasilakis, M.; Alkaabi, S.; Viegas, J.; Rakowski, M.; Stricker, A.; Nummy, K.; Meagher, C.; Peng, B.; Thomas, A.; Hu, S.; Petykiewicz, J.; Riggs, D.; Letavic, T.; Yu, A.; Giewont, K.; and Pellerin, J. In OSA Advanced Photonics Congress (AP) 2020 (IPR, NP, NOMA, Networks, PVLED, PSC, SPPCom, SOF), 2020. Optical Society of America
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Updates on the LocalRoot project. Hardaker, W. Talk at DNS-OARC, August 2020.
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Uprise-iot: User-centric privacy & security in the iot. Giordano, S.; Morel, V.; Önen, M.; Musolesi, M.; Andreoletti, D.; Cardoso, F.; Ferrari, A.; Luceri, L.; Castelluccia, C.; Le Métayer, D.; and others In Security and Privacy in the Internet of Things: Challenges and Solutions, pages 44–60. IOS Press, 2020.
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User-Based Collaborative Filtering Mobile Health System. Kao, H.; Yan, S.; Hosseinmardi, H.; Narayanan, S.; Lerman, K.; and Ferrara, E. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 4(4): 1–17. 2020.
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User-Centered Risk Communication for Safer Browsing. Das, S.; Abbott, J.; Gopavaram, S.; Blythe, J.; and Camp, J. In Proceedings of the First Asia USEC - Workshop on Usable Security, In Conjunction with the Twenty-Fourth International Conference International Conference on Financial Cryptography and Data Security 2020, 2020.
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Using Dynamic Time Warping Self-Organizing Maps to Characterize Diurnal Patterns in Environmental Exposures. Li, K.; Sward, K.; Deng, H.; Morrison, J.; Habre, R.; Franklin, M.; Chiang, Y.; Ambite, J.; Wilson, J. P.; and Eckel, S. P. Research Square. 2020. Preprint
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Using Genetic Algorithms for Safe Swarm Trajectory Optimization. Rughani, R.; and Barnhart, D. In AIAA Scitech 2020 Forum, pages 1916, 2020.
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Using Terminal Histories to Monitor Student Progress on Hands-on Exercises. Mirkovic, J.; Aggarwal, A.; Weinman, D.; Lepe, P.; Mache, J.; and Weiss, R. In Proceedings of Special Interest Group on Computer Science Education Symposium (SIGCSE), 2020.
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Using historical maps in scientific studies: Applications, challenges, and best practices. Chiang, Y.; Duan, W.; Leyk, S.; Uhl, J. H; and Knoblock, C. A Springer, 2020.
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Using task descriptions in lifelong machine learning for improved performance and zero-shot transfer. Rostami, M.; Isele, D.; and Eaton, E. Journal of Artificial Intelligence Research, 67: 673–704. 2020.
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Variability in individual constriction contributions to third formant values in American English. Harper, S.; Goldstein, L.; and Narayanan, S. J. Acoust. Soc. Am., 147(6): 3905-3916. Jun 2020.
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Vocal tract articulatory contour detection in real time magnetic resonance images using spatio temporal context. Hebbar, A.; Sharma, R.; Somandepalli, K.; Toutios, A.; and Narayanan, S. In Proceedings of ICASSP, May 2020.
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Vocal tract shaping of emotional speech. Kim, J.; Toutios, A.; Lee, S.; and Narayanan, S. Computer, Speech and Language, 64. Apr 2020.
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Whac-A-Mole: Six Years of DNS Spoofing. Wei, L.; and Heidemann, J. Technical Report arXiv:2011.12978v1, USC/ISI, 25 Nov 2020.
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Wisdom of the expert crowd prediction of response for 3 neurology randomized trials. Atanasov, P.; Diamantaras, A.; MacPherson, A.; Vinarov, E.; Benjamin, D. M.; Shrier, I.; Paul, F.; Dirnagl, U.; and Kimmelman, J. , 95(5): e488–e498. 2020.
Wisdom of the expert crowd prediction of response for 3 neurology randomized trials [link]Paper doi link bibtex abstract
Workflow Submit Nodes as a Service on Leadership Class Systems. Papadimitriou, G.; Vahi, K.; Kincl, J.; Anantharaj, V.; Deelman, E.; and Wells, J. In Proceedings of the Practice and Experience in Advanced Research Computing, of PEARC '20, New York, NY, USA, 2020. Association for Computing Machinery Funding Acknowledgments: DOE DESC0012636
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WorkflowHub: Community Framework for Enabling Scientific Workflow Research and Development. Ferreira da Silva, R.; Pottier, L.; Coleman, T.; Deelman, E.; and Casanova, H. In 2020 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS), pages 49–56, 2020. Funding Acknowledgments: NSF 2016619, DOE DE-SC0012636, NSF 1664162, NSF 1923539
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i-SRAM: Interleaved Wordlines for Vector Boolean Operations Using SRAMs. Jaiswal, A.; Agrawal, A.; Ali, M. F; Sharmin, S.; and Roy, K. IEEE Transactions on Circuits and Systems I: Regular Papers, 67(12): 4651–4659. 2020.
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“Don’t quote me on that”: Finding Mixtures of Sources in News Articles. Alexander Spangher, N. P.; and Ferrara, E. In Proc. Computation+Journalism Symposium, Online, March 2020.
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