Publications
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
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
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
Moral Values Underpinning COVID-19 Online Communication Patterns
Jiang, J.; Luceri, L.; and Ferrara, E. arXiv Preprint, 2024
SoK: The Ghost Trilemma
Mukherjee, S.; Ravi, S.; Schmitt, P.; and Raghavan, B. 2024
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
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
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
"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
#RoeOverturned: Twitter Dataset on the Abortion Rights Controversy
Chang, R.; Rao, A.; Zhong, Q.; Wojcieszak, M.; and Lerman, K. CoRR, abs/2302.01439, 2023
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. Proceedings of the 40th International Conference on Machine Learning, volume 202, pages 38258–38271, July 2023. PMLR
A Data Fusion Framework for Multi-Domain Morality Learning
Guo, S.; Mokhberian, N.; and Lerman, K. CoRR, abs/2304.02144, 2023
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
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
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
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
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
A Structural Study of Big Tech Firm-Switching of Inventors in the Post-Recession Era
Sun, Y.; and Kejriwal, M. 2023
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 Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 11753–11770, Singapore, December 2023. Association for Computational Linguistics
ALCAP: Alignment-Augmented Music Captioner
He, Z.; Hao, W.; Lu, W. T.; Chen, C.; Lerman, K.; and Song, X. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 16501–16512, Singapore, December 6-10, 2023. Association for Computational Linguistics
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
Affective Polarization in Social Networks
Feldman, D.; Rao, A.; He, Z.; and Lerman, K. CoRR, abs/2310.18553, 2023
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
Anger Breeds Controversy: Analyzing Controversy and Emotions on Reddit
Chen, K.; He, Z.; Chang, R.; May, J.; and Lerman, K. Social, Cultural, and Behavioral Modeling - 16th International Conference, SBP-BRiMS 2023, Lecture Notes in Computer Science, volume 14161, pages 44–53, 2023. Springer
Artificial Intelligence for Industries of the Future - Beyond Facebook, Amazon, Microsoft and Google
Kejriwal, M. Springer, 2023
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, 2023
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
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
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. Findings of the Association for Computational Linguistics: EACL 2023, pages 754–769, 2023. Association for Computational Linguistics
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
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
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
Can language representation models think in bets?
Tang, Z.; and Kejriwal, M. Royal Society Open Science, 10(3): 221585, 2023
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, 2023
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, 2023
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
Clique Densification in Networks
Pi, H.; Burghardt, K.; Percus, A. G.; and Lerman, K. CoRR, 2023
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
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, 2023
Contextualizing Argument Quality Assessment with Relevant Knowledge
Deshpande, D.; Sourati, Z.; Ilievski, F.; and Morstatter, F. arXiv preprint, 2023
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, 2023
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 Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Data-Driven Template-Free Invariant Generation
Xia, Y.; Deshmukh, J. V.; Raghothaman, M.; and Ravi, S. CoRR, 2023
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 IEEE 19th International Conference on E-Science, 2023
Defending Root DNS Servers Against DDoS Using Layered Defenses
Rizvi, A.; Mirkovic, J.; Heidemann, J.; Hardaker, W.; and Story, R. In IEEE COMSNETS, 2023
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, 2023
Designing Artificial Intelligence for Open Worlds
Kejriwal, M. In 2023 Annual Meeting, 2023. AAAS
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 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
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
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
Discovering collective narratives shifts in online discussions
Zhao, W.; Guo, F.; Lerman, K.; and Ahn, Y. CoRR, abs/2307.08541, 2023
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
Evaluating deep generative models on cognitive tasks: a case study
Tang, Z.; and Kejriwal, M. Discover Artificial Intelligence, 3(1): 21, 2023
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]
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
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
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
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
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
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
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
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
Feedback Loops and Complex Dynamics of Harmful Speech in Online 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, volume 14161 of Lecture Notes in Computer Science, pages 85–94, 2023. Springer
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
Gender and Prestige Bias in Coronavirus News Reporting
Dorn, R.; Ma, Y.; Morstatter, F.; and Lerman, K. CoRR, abs/2301.11994, 2023
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
HALO: An Ontology for Representing Hallucinations in Generative Models
Nananukul, N.; and Kejriwal, M. arXiv preprint arXiv:2312.05209, 2023
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
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
How does prompt engineering affect ChatGPT performance on unsupervised entity resolution?
Sisaengsuwanchai, K.; Nananukul, N.; and Kejriwal, M. arXiv preprint arXiv:2310.06174, 2023
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
Towards Capturing Scientific Reasoning to Automate Data Analysis.
Yolanda Gil and Deborah Khider and Maximiliano Osorio and Varun Ratnakar and Hernan Vargas and Daniel Garijo and Suzanne Pierce, Proceedings of the 44th Annual Conference of the Cognitive Science Society (CogSci), 2022
You are where you eat: Effect of mobile food environments on fast food visits.
Bueno, Bernardo Garcia Bulle and Horn, Abigail L and Bell, Brooke M and Bahrami, Mohsen and Bozkaya, Burcin and Pentland, Alex and De la Haye, Kayla and Egido, Esteban Moro, medRxiv, 2022
Increasing coordination and responsivity of emotion-related brain regions with a heart rate variability biofeedback randomized trial.
Nashiro, Kaoru and Min, Jungwon and Yoo, Hyun Joo and Cho, Christine and Bachman, Shelby L and Dutt, Shubir and Thayer, Julian F and Lehrer, Paul M and Feng, Tiantian and Mercer, Noah and Nasseri, Padideh and Wang, Diana and Chang, Catie and Marmarelis, Vasilis and Narayanan, Shrikanth and Nation, Daniel and Mather, Mara, Cognitive, Affective, & Behavioral Neuroscience, 2022
Intra-topic Latency as an Automated Behavioral Marker of Treatment Response in Autism Spectrum Disorder.
McKernan, Elizabeth and Kumar, Manoj and Di Martino, Adriana and Shulman, Lisa and Kolevzon, Alexander and Lord, Catherine and Bishop, Somer and Narayanan, Shrikanth and Kim, So Hyun, Scientific reports, 2022
Variation in compensatory strategies as a function of target constriction degree in post-glossectomy speech.
Hagedorn, Christina and Lu, Yijing and Toutios, Asterios and Sinha, Uttam and Goldstein, Louis and Narayanan, Shrikanth S, JASA Express Letters, 2022
Automated Evaluation Of Psychotherapy Skills Using Speech And Language Technologies.
Flemotomos, Nikolaos and Martinez, Victor R and Chen, Zhuohao and Singla, Karan and Ardulov, Victor and Peri, Raghuveer and Caperton, Derek D and Gibson, James and Tanana, Michael J and Georgiou, Panayiotis and Van Epps, Jake and Lord, Sarah P. and Hirsch, Tad and Imel, Zac E. and Atkins, David C. and Narayanan, Shrikanth S, Behavior Research Methods, 2022
Leveraging Social Networks for the Assessment and Management of Neurological Patients.
Dhand, Amar and Podury, Archana and Choudhry, Niteesh and Narayanan, Shrikanth and Shin, Min and Mehl, Matthias R, Seminars in Neurology, 2022
An automated quality evaluation framework of psychotherapy conversations with local quality estimates.
Zhuohao Chen and Nikolaos Flemotomos and Karan Singla and Torrey A. Creed and David C. Atkins and Shrikanth Narayanan, Computer Speech & Language, 2022
Automatic Analysis of Asymmetry in Facial Paralysis Patients Using Landmark-Based Measures.
Bose, Digbalay and Somandepalli, Krishna and Tai, Tymon and Voelker, Courtney and Narayanan, Shrikanth and Kochhar, Amit, Facial Plastic Surgery & Aesthetic Medicine, 2022
Understanding COVID-19 Vaccine Reaction through Comparative Analysis on Twitter.
Luo, Yuesheng and Kejriwal, Mayank, Science and Information Conference, 2022
Predicting zip code-level vaccine hesitancy in US Metropolitan Areas using machine learning models on public tweets.
Melotte, Sara and Kejriwal, Mayank, PLOS Digital Health, 2022
Partisan Asymmetries in Exposure to Misinformation.
Rao, Ashwin and Morstatter, Fred and Lerman, Kristina, arXiv preprint arXiv:2203.01350, 2022
I know what you did on Venmo: Discovering privacy leaks in mobile social payments.
Rajat Tandon and Pithayuth Charnsethikul and Ishank Arora and Dhiraj Murthy and Jelena Mirkovic, Privacy Enhancing Technologies Symposium (PETS) 2022
Samba: Identifying Inappropriate Videos for Young Children on YouTube.
Le Binh and Rajat Tandon and Chingis Oinar and Jeffrey Liu and Uma Durairaj and Jiani Guo and Spencer Zahabizadeh and Sanjana Ilango and Jeremy Tang and Fred Morstatter and Simon Woo and Jelena Mirkovic, 31st ACM International Conference on Information & Knowledge Management (CKIM) 2022
Automating Detection of Papilledema in Pediatric Fundus Images with Explainable Machine Learning.
Avramidis, Kleanthis and Rostami, Mohammad and Chang, Melinda and Narayanan, Shrikanth, 2022 IEEE International Conference on Image Processing (ICIP), 2022
Charting the information and misinformation landscape to characterize misinfodemics on social media: COVID-19 infodemiology study at a planetary scale.
Chen, Emily and Jiang, Julie and Chang, Ho-Chun Herbert and Muric, Goran and Ferrara, Emilio and others, Jmir Infodemiology, 2022
Deep Learning Radiographic Assessment of Pulmonary Edema: Optimizing Clinical Performance, Training With Serum Biomarkers.
Huynh, Justin and Masoudi, Samira and Noorbakhsh, Abraham and Mahmoodi, Amin and Kligerman, Seth and Yen, Andrew and Jacobs, Kathleen and Hahn, Lewis and Hasenstab, Kyle and Pazzani, Michael and others, IEEE Access, 2022
Detecting Glaucoma from Fundus Photographs Using Deep Learning without Convolutions: Transformer for Improved Generalization.
Fan, Rui and Alipour, Kamran and Bowd, Christopher and Christopher, Mark and Brye, Nicole and Proudfoot, James A and Goldbaum, Michael H and Belghith, Akram and Girkin, Christopher A and Fazio, Massimo A and Liebmann, Jeffrey M and Weinreb, Robert N and Pazzani, Michael J and Kriegman, David and Zangwill, Linda M., Ophthalmology Science, 2022
Privacy preserving domain adaptation for semantic segmentation of medical images.
Stan, Serban and Rostami, Mohammad, British Machine Vision Conference, 2022
TILES-2019: A longitudinal physiologic and behavioral data set of medical residents in an intensive care unit.
Yau, Joanna C and Girault, Benjamin and Feng, Tiantian and Mundnich, Karel and Nadarajan, Amrutha and Booth, Brandon M and Ferrara, Emilio and Lerman, Kristina and Hsieh, Eric and Narayanan, Shrikanth, Scientific Data, 2022
Will AI Write Scientific Papers in the Future?
Yolanda Gil, AI Magazine, 2021
A continuous indicator of food environment nutritional quality.
Liu, Iris and de la Haye, Kayla and Abeliuk, Andres and Horn, Abigail L, medRxiv, 2021
An integrated risk and epidemiological model to estimate risk-stratified COVID-19 outcomes for Los Angeles County: March 1, 2020—March 1, 2021.
Horn, Abigail L and Jiang, Lai and Washburn, Faith and Hvitfeldt, Emil and de la Haye, Kayla and Nicholas, William and Simon, Paul and Pentz, Maryann and Cozen, Wendy and Sood, Neeraj and others, Plos one, 2021
Investigating mobility-based fast food outlet visits as indicators of dietary intake and diet-related disease.
Horn, Abigail L and Bell, Brooke M and Bueno, Bernardo Garcia Bulle and Bahrami, Mohsen and Bozkaya, Burcin and Cui, Yan and Wilson, John P and Pentland, Alex and Moro, Esteban and de la Haye, Kayla, medRxiv, 2021
Emerging applications of machine learning in food safety.
Deng, Xiangyu and Cao, Shuhao and Horn, Abigail L, Annual Review of Food Science and Technology, 2021
Health behavior outcomes of a family-centered intervention for pediatric obesity in primary care: A randomized type II hybrid effectiveness-implementation trial.
Smith, Justin D. and Berkel, Cady and Jordan, Neil and Atkins, David C. and Narayanan, Shrikanth S. and Gallo, Carlos and Grimm, Kevin J. and Dishion, Thomas J. and Mauricio, Anne M. and Rudo-Stern, Jenna and Meachum, Mariah K. and Winslow, Emily and Bruening, Meg M, Pediatric Obesity, 2021
Intrapersonal and interpersonal vocal affect dynamics during psychotherapy.
Paz, Adar and Rafaeli, Eshkol and Bar-Kalifa, Eran and Gilboa-Schectman, Eva and Gannot, Sharon and Laufer-Goldshtein, Bracha and Narayanan, Shrikanth and Keshet, Joseph and Atzil-Slonim, Dana, Journal of Consulting and Clinical Psychology, 2021
Complexity of vocal tract shaping in glossectomy patients and typical speakers: A principal component analysis.
Hagedorn, Christina and Kim, Jangwon and Sinha, Uttam and Goldstein, Louis and Narayanan, Shrikanth S, The Journal of the Acoustical Society of America, 2021
A multimodal analysis of physical activity, sleep, and work shift in nurses with wearable sensor data.
Feng, Tiantian and Booth, Brandon M and Baldwin-Rodriguez, Brooke and Osorno, Felipe and Narayanan, Shrikanth, Scientific Reports, 2021
Robust diagnostic classification via Q-learning.
Ardulov, Victor and Martinez, Victor R and Somandepalli, Krishna and Zheng, Shuting and Salzman, Emma and Lord, Catherine and Bishop, Somer and Narayanan, Shrikanth, Scientific reports, 2021
Using conditional inference to quantify interaction effects of socio-demographic covariates of US COVID-19 vaccine hesitancy.
Shen, Ke and Kejriwal, Mayank, medRxiv, 2021
A geo-tagged COVID-19 Twitter dataset for 10 North American metropolitan areas over a 255-day period.
Melotte, Sara and Kejriwal, Mayank, Data 2021
Socioeconomic Correlates of Anti-Science Attitudes in the US.
Hu, Minda and Rao, Ashwin and Kejriwal, Mayank and Lerman, Kristina, Future Internet, 2021
Having a Bad Day? Detecting the Impact of Atypical Events Using Wearable Sensors.
Burghardt, Keith and Tavabi, Nazgol and Ferrara, Emilio and Narayanan, Shrikanth and Lerman, Kristina, International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation, 2021
A comprehensive explanation framework for biomedical time series classification.
Ivaturi, Praharsh and Gadaleta, Matteo and Pandey, Amitabh C and Pazzani, Michael and Steinhubl, Steven R and Quer, Giorgio, JIEEE Journal of Biomedical and Health Informatics, 2021
COVID-19 Vaccine Hesitancy on Social Media: Building a Public Twitter Dataset of Anti-vaccine Content, Vaccine Misinformation and Conspiracies.
Muric, Goran and Wu, Yusong and Ferrara, Emilio, JMIR Public Health Surveill, 2021
Gender disparity in the authorship of biomedical research publications during the COVID-19 pandemic.
Muric, Goran and Lerman, Kristina and Ferrara, Emilio, Journal of Medical Internet Research, 2021
Having a Bad Day? Detecting the Impact of Atypical Events Using Wearable Sensors.
Burghardt, Keith and Tavabi, Nazgol and Ferrara, Emilio and Narayanan, Shrikanth and Lerman, Kristina, International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation, 2021
Political partisanship and antiscience attitudes in online discussions about COVID-19: Twitter content analysis.
Rao, Ashwin and Morstatter, Fred and Hu, Minda and Chen, Emily and Burghardt, Keith and Ferrara, Emilio and Lerman, Kristina and others, Journal of medical Internet research, 2021
Topics of Nicotine-Related Discussions on Twitter: Infoveillance Study.
Allem, Jon-Patrick and Dormanesh, Allison and Majmundar, Anuja and Unger, Jennifer B and Kirkpatrick, Matthew G and Choube, Akshat and Aithal, Aneesh and Ferrara, Emilio and Cruz, Tess Boley and others, Journal of Medical Internet Research, 2021
ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries.
Thompson, Paul M.and Jahanshad, Nedaand Ching, Christopher R. K.and Salminen, Lauren E.and Thomopoulos, Sophia I.and Bright, Joannaand Baune, Bernhard T.and Bertol{\'i}n, Saraand Bralten, Janitaand Bruin, Willem B.and B{\"u}low, Robinand Chen, Jianand Chye, Yannand Dannlowski, Udoand de Kovel, Carolien G. F.and Donohoe, Garyand Eyler, Lisa T.and Faraone, Stephen V.and Favre, Paulineand Filippi, Courtney A.and Frodl, Thomasand Garijo, Danieland Gil, Yolandaand Grabe, Hans J.and Grasby, Katrina L.and Hajek, Tomasand Han, Laura K. M.and Hatton, Sean N.and Hilbert, Kevinand Ho, Tiffany C.and Holleran, Laurenaand Homuth, Georgand Hosten, Norbertand Houenou, Josselinand Ivanov, Iliyanand Jia, Tianyeand Kelly, Sineadand Klein, Mariekeand Kwon, Jun Sooand Laansma, Max A.and Leerssen, Jeanneand Lueken, Ulrikeand Nunes, Abrahamand Neill, Joseph O'and Opel, Nilsand Piras, Fabrizioand Piras, Federicaand Postema, Merel C.and Pozzi, Elenaand Shatokhina, Nataliaand Soriano-Mas, Carlesand Spalletta, Gianfrancoand Sun, Daqiangand Teumer, Alexanderand Tilot, Amanda K.and Tozzi, Leonardoand van der Merwe, Celiaand Van Someren, Eus J. W.and van Wingen, Guido A.and V{\"o}lzke, Henryand Walton, Estherand Wang, Leiand Winkler, Anderson M.and Wittfeld, Katharinaand Wright, Margaret J.and Yun, Je-Yeonand Zhang, Guohaoand Zhang-James, Yanliand Adhikari, Bhim M.and Agartz, Ingridand Aghajani, Mojiand Aleman, Andr{\'e}and Althoff, Robert R.and Altmann, Andreand Andreassen, Ole A.and Baron, David A.and Bartnik-Olson, Brenda L.and Marie Bas-Hoogendam, Jannaand Baskin-Sommers, Arielle R.and Bearden, Carrie E.and Berner, Laura A.and Boedhoe, Premika S. W.and Brouwer, Rachel M.and Buitelaar, Jan K.and Caeyenberghs, Karenand Cecil, Charlotte A. M.and Cohen, Ronald A.and Cole, James H.and Conrod, Patricia J.and De Brito, Stephane A.and de Zwarte, Sonja M. C.and Dennis, Emily L.and Desrivieres, Sylvaneand Dima, Danaiand Ehrlich, Stefanand Esopenko, Carrieand Fairchild, Graemeand Fisher, Simon E.and Fouche, Jean-Pauland Francks, Clydeand Frangou, Sophiaand Franke, Barbaraand Garavan, Hugh P.and Glahn, David C.and Groenewold, Nynke A.and Gurholt, Tiril P.and Gutman, Boris A.and Hahn, Timand Harding, Ian H.and Hernaus, Dennisand Hibar, Derrek P.and Hillary, Frank G.and Hoogman, Martineand Hulshoff Pol, Hilleke E.and Jalbrzikowski, Mariaand Karkashadze, George A.and Klapwijk, Eduard T.and Knickmeyer, Rebecca C.and Kochunov, Peterand Koerte, Inga K.and Kong, Xiang-Zhenand Liew, Sook-Leiand Lin, Alexander P.and Logue, Mark W.and Luders, Eileenand Macciardi, Fabioand Mackey, Scottand Mayer, Andrew R.and McDonald, Carrie R.and McMahon, Agnes B.and Medland, Sarah E.and Modinos, Gemmaand Morey, Rajendra A.and Mueller, Sven C.and Mukherjee, Pratikand Namazova-Baranova, Leylaand Nir, Talia M.and Olsen, Alexanderand Paschou, Peristeraand Pine, Daniel S.and Pizzagalli, Fabrizioand Renter{\'i}a, Miguel E.and Rohrer, Jonathan D.and S{\"a}mann, Philipp G.and Schmaal, Lianneand Schumann, Gunterand Shiroishi, Mark S.and Sisodiya, Sanjay M.and Smit, Dirk J. A.and S{\o}nderby, Ida E.and Stein, Dan J.and Stein, Jason L.and Tahmasian, Masoudand Tate, David F.and Turner, Jessica A.and van den Heuvel, Odile A.and van der Wee, Nic J. A.and van der Werf, Ysbrand D.and van Erp, Theo G. M.and van Haren, Neeltje E. M.and van Rooij, Daanand van Velzen, Laura S.and Veer, Ilya M.and Veltman, Dick J.and Villalon-Reina, Julio E.and Walter, Henrikand Whelan, Christopher D.and Wilde, Elisabeth A.and Zarei, Mojtabaand Zelman, Vladimirand Consortium, for the ENIGMA, Nature Translational Psychiatry 2020
The genetic architecture of the human cerebral cortex.
Grasby, Katrina L. and Jahanshad, Neda and Painter, Jodie N. and Colodro-Conde, Luc{\'\i}a and Bralten, Janita and Hibar, Derrek P. and Lind, Penelope A. and Pizzagalli, Fabrizio and Ching, Christopher R. K. and McMahon, Mary Agnes B. and Shatokhina, Natalia and Zsembik, Leo C. P. and Thomopoulos, Sophia I. and Zhu, Alyssa H. and Strike, Lachlan T. and Agartz, Ingrid and Alhusaini, Saud and Almeida, Marcio A. A. and Aln{\ae}s, Dag and Amlien, Inge K. and Andersson, Micael and Ard, Tyler and Armstrong, Nicola J. and Ashley-Koch, Allison and Atkins, Joshua R. and Bernard, Manon and Brouwer, Rachel M. and Buimer, Elizabeth E. L. and B{\"u}low, Robin and B{\"u}rger, Christian and Cannon, Dara M. and Chakravarty, Mallar and Chen, Qiang and Cheung, Joshua W. and Couvy-Duchesne, Baptiste and Dale, Anders M. and Dalvie, Shareefa and de Araujo, T{\^a}nia K. and de Zubicaray, Greig I. and de Zwarte, Sonja M. C. and den Braber, Anouk and Doan, Nhat Trung and Dohm, Katharina and Ehrlich, Stefan and Engelbrecht, Hannah-Ruth and Erk, Susanne and Fan, Chun Chieh and Fedko, Iryna O. and Foley, Sonya F. and Ford, Judith M. and Fukunaga, Masaki and Garrett, Melanie E. and Ge, Tian and Giddaluru, Sudheer and Goldman, Aaron L. and Green, Melissa J. and Groenewold, Nynke A. and Grotegerd, Dominik and Gurholt, Tiril P. and Gutman, Boris A. and Hansell, Narelle K. and Harris, Mathew A. and Harrison, Marc B. and Haswell, Courtney C. and Hauser, Michael and Herms, Stefan and Heslenfeld, Dirk J. and Ho, New Fei and Hoehn, David and Hoffmann, Per and Holleran, Laurena and Hoogman, Martine and Hottenga, Jouke-Jan and Ikeda, Masashi and Janowitz, Deborah and Jansen, Iris E. and Jia, Tianye and Jockwitz, Christiane and Kanai, Ryota and Karama, Sherif and Kasperaviciute, Dalia and Kaufmann, Tobias and Kelly, Sinead and Kikuchi, Masataka and Klein, Marieke and Knapp, Michael and Knodt, Annchen R. and Kr{\"a}mer, Bernd and Lam, Max and Lancaster, Thomas M. and Lee, Phil H. and Lett, Tristram A. and Lewis, Lindsay B. and Lopes-Cendes, Iscia and Luciano, Michelle and Macciardi, Fabio and Marquand, Andre F. and Mathias, Samuel R. and Melzer, Tracy R. and Milaneschi, Yuri and Mirza-Schreiber, Nazanin and Moreira, Jose C. V. and M{\"u}hleisen, Thomas W. and M{\"u}ller-Myhsok, Bertram and Najt, Pablo and Nakahara, Soichiro and Nho, Kwangsik and Olde Loohuis, Loes M. and Orfanos, Dimitri Papadopoulos and Pearson, John F. and Pitcher, Toni L. and P{\"u}tz, Benno and Quid{\'e}, Yann and Ragothaman, Anjanibhargavi and Rashid, Faisal M. and Reay, William R. and Redlich, Ronny and Reinbold, C{\'e}line S. and Repple, Jonathan and Richard, Genevi{\`e}ve and Riedel, Brandalyn C. and Risacher, Shannon L. and Rocha, Cristiane S. and Mota, Nina Roth and Salminen, Lauren and Saremi, Arvin and Saykin, Andrew J. and Schlag, Fenja and Schmaal, Lianne and Schofield, Peter R. and Secolin, Rodrigo and Shapland, Chin Yang and Shen, Li and Shin, Jean and Shumskaya, Elena and S{\o}nderby, Ida E. and Sprooten, Emma and Tansey, Katherine E. and Teumer, Alexander and Thalamuthu, Anbupalam and Tordesillas-Guti{\'e}rrez, Diana and Turner, Jessica A. and Uhlmann, Anne and Vallerga, Costanza Ludovica and van der Meer, Dennis and van Donkelaar, Marjolein M. J. and van Eijk, Liza and van Erp, Theo G. M. and van Haren, Neeltje E. M. and van Rooij, Daan and van Tol, Marie-Jos{\'e} and Veldink, Jan H. and Verhoef, Ellen and Walton, Esther and Wang, Mingyuan and Wang, Yunpeng and Wardlaw, Joanna M. and Wen, Wei and Westlye, Lars T. and Whelan, Christopher D. and Witt, Stephanie H. and Wittfeld, Katharina and Wolf, Christiane and Wolfers, Thomas and Wu, Jing Qin and Yasuda, Clarissa L. and Zaremba, Dario and Zhang, Zuo and Zwiers, Marcel P. and Artiges, Eric and Assareh, Amelia A. and Ayesa-Arriola, Rosa and Belger, Aysenil and Brandt, Christine L. and Brown, Gregory G. and Cichon, Sven and Curran, Joanne E. and Davies, Gareth E. and Degenhardt, Franziska and Dennis, Michelle F. and Dietsche, Bruno and Djurovic, Srdjan and Doherty, Colin P. and Espiritu, Ryan and Garijo, Daniel and Gil, Yolanda and Gowland, Penny A. and Green, Robert C. and H{\"a}usler, Alexander N. and Heindel, Walter and Ho, Beng-Choon and Hoffmann, Wolfgang U. and Holsboer, Florian and Homuth, Georg and Hosten, Norbert and Jack, Clifford R. and Jang, MiHyun and Jansen, Andreas and Kimbrel, Nathan A. and Kolsk{\r a}r, Knut and Koops, Sanne and Krug, Axel and Lim, Kelvin O. and Luykx, Jurjen J. and Mathalon, Daniel H. and Mather, Karen A. and Mattay, Venkata S. and Matthews, Sarah and Mayoral Van Son, Jaqueline and McEwen, Sarah C. and Melle, Ingrid and Morris, Derek W. and Mueller, Bryon A. and Nauck, Matthias and Nordvik, Jan E. and N{\"o}then, Markus M. and O{\textquoteright}Leary, Daniel S. and Opel, Nils and Martinot, Marie-Laure Paill{\`e}re and Pike, G. Bruce and Preda, Adrian and Quinlan, Erin B. and Rasser, Paul E. and Ratnakar, Varun and Reppermund, Simone and Steen, Vidar M. and Tooney, Paul A. and Torres, F{\'a}bio R. and Veltman, Dick J. and Voyvodic, James T. and Whelan, Robert and White, Tonya and Yamamori, Hidenaga and Adams, Hieab H. H. and Bis, Joshua C. and Debette, Stephanie and Decarli, Charles and Fornage, Myriam and Gudnason, Vilmundur and Hofer, Edith and Ikram, M. Arfan and Launer, Lenore and Longstreth, W. T. and Lopez, Oscar L. and Mazoyer, Bernard and Mosley, Thomas H. and Roshchupkin, Gennady V. and Satizabal, Claudia L. and Schmidt, Reinhold and Seshadri, Sudha and Yang, Qiong and Alvim, Marina K. M. and Ames, David and Anderson, Tim J. and Andreassen, Ole A. and Arias-Vasquez, Alejandro and Bastin, Mark E. and Baune, Bernhard T. and Beckham, Jean C. and Blangero, John and Boomsma, Dorret I. and Brodaty, Henry and Brunner, Han G. and Buckner, Randy L. and Buitelaar, Jan K. and Bustillo, Juan R. and Cahn, Wiepke and Cairns, Murray J. and Calhoun, Vince and Carr, Vaughan J. and Caseras, Xavier and Caspers, Svenja and Cavalleri, Gianpiero L. and Cendes, Fernando and Corvin, Aiden and Crespo-Facorro, Benedicto and Dalrymple-Alford, John C. and Dannlowski, Udo and de Geus, Eco J. C. and Deary, Ian J. and Delanty, Norman and Depondt, Chantal and Desrivi{\`e}res, Sylvane and Donohoe, Gary and Espeseth, Thomas and Fern{\'a}ndez, Guill{\'e}n and Fisher, Simon E. and Flor, Herta and Forstner, Andreas J. and Francks, Clyde and Franke, Barbara and Glahn, David C. and Gollub, Randy L. and Grabe, Hans J. and Gruber, Oliver and H{\r a}berg, Asta K. and Hariri, Ahmad R. and Hartman, Catharina A. and Hashimoto, Ryota and Heinz, Andreas and Henskens, Frans A. and Hillegers, Manon H. J. and Hoekstra, Pieter J. and Holmes, Avram J. and Hong, L. Elliot and Hopkins, William D. and Hulshoff Pol, Hilleke E. and Jernigan, Terry L. and J{\"o}nsson, Erik G. and Kahn, Ren{\'e} S. and Kennedy, Martin A. and Kircher, Tilo T. J. and Kochunov, Peter and Kwok, John B. J. and Le Hellard, Stephanie and Loughland, Carmel M. and Martin, Nicholas G. and Martinot, Jean-Luc and McDonald, Colm and McMahon, Katie L. and Meyer-indenberg, Andreas and Michie, Patricia T. and Morey, Rajendra A. and Mowry, Bryan and Nyberg, Lars and Oosterlaan, Jaap and Ophoff, Roel A. and Pantelis, Christos and Paus, Tomas and Pausova, Zdenka and Penninx, Brenda W. J. H. and Polderman, Tinca J. C. and Posthuma, Danielle and Rietschel, Marcella and Roffman, Joshua L. and Rowland, Laura M. and Sachdev, Perminder S. and {\"a}mann, Philipp G. and Schall, Ulrich and Schumann, Gunter and Scott, Rodney J. and Sim, Kang and Sisodiya, Sanjay M. and Smoller, Jordan W. and Sommer, Iris E. and St Pourcain, Beate and Stein, Dan J. and Toga, Arthur W. and Trollor, Julian N. and Van der Wee, Nic J. A. and van {\textquoteright}t Ent, Dennis and V{\"o}lzke, Henry and Walter, Henrik and Weber, Bernd and Weinberger, Daniel R. and Wright, Margaret J. and Zhou, Juan and Stein, Jason L. and Thompson, Paul M. and Medland, Sarah E, Science, 2020
FAIR Computational Workflows.
Carole Goble, Sarah Cohen-Boulakia, Stian Soiland-Reyes, Daniel Garijo, Yolanda Gil, Michael R. Crusoe, Kristian Peters, Daniel Schoberhidden, FAIR Computational Workflows, 2020
A gravity-based food flow model to identify the source of foodborne disease outbreaks.
Schlaich, Tim and Horn, Abigail L and Fuhrmann, Marcel and Friedrich, Hanno, International Journal of Environmental Research and Public Health, 2020
Conversational correlates of rapid social judgments of children and adolescents with and without ASD.
Shield, Aaron and Wang, Xin and Bone, Daniel and Narayanan, Shrikanth and Grossman, Ruth, Clinical Linguistics & Phonetics, 2020
Clinical state tracking in serious mental illness through computational analysis of speech.
Arevian, Armen and Bone, Daniel and Malandrakis, Nikolaos and Martinez, Victor and Wells, Kenneth and Miklowitz, David and Narayanan, Shrikanth, PLoS ONE, 2020
Knowledge, semantics and AI for risk and crisis management.
De Nicola, Antonio and Karray, Hedi and Kejriwal, Mayank and Matta, Nada, Journal of Contingencies and Crisis Management, 2020
Knowledge graphs and COVID-19: opportunities, challenges, and implementation.
Kejriwal, Mayank, PubPub, 2020
Scanner invariant representations for diffusion MRI harmonization.
Moyer, Daniel and Ver Steeg, Greg and Tax, Chantal M. W. and Thompson, Paul M, Magnetic Resonance in Medicine, 2020
Affect Estimation with Wearable Sensors.
Yan, Shen and Hosseinmardi, Homa and Kao, Hsien-Te and Narayanan, Shrikanth and Lerman, Kristina and Ferrara, Emilio, Journal of Healthcare Informatics Research, 2020
Learning Behavioral Representations from Wearable Sensors.
Tavabi, Nazgol and Hosseinmardi, Homa and Villatte, Jennifer L and Abeliuk, Andres and Narayanan, Shrikanth and Ferrara, Emilio and Lerman, Kristina, Social, Cultural, and Behavioral Modeling: 13th International Conference, SBP-BRiMS 2020, Washington, DC, USA, October 18-21, 2020, Proceedings, 2020
TILES-2018, a longitudinal physiologic and behavioral data set of hospital workers.
Mundnich, Karel and Booth, Brandon M and l'Hommedieu, Michelle and Feng, Tiantian and Girault, Benjamin and L'Hommedieu, Justin and Wildman, Mackenzie and Skaaden, Sophia and Nadarajan, Amrutha and Villatte, Jennifer L and others, Scientific Data, 2020
Tracking Social Media Discourse About the COVID-19 Pandemic: Development of a Public Coronavirus Twitter Data Set.
Chen, Emily and Lerman, Kristina and Ferrara, Emilio, JMIR Public Health and Surveillance, 2020
Semantic Workflows for Benchmark Challenges: Enhancing Comparability, Reusability and Reproducibility.
Arunima Srivastava and Ravali Adusumilli and Hunter Boyce and Daniel Garijo and Varun Ratnakar and Rajiv Mayani and Thomas Yu and Raghu Machiraju and Yolanda Gil and Parag Mallick, Proceedings of the Pacific Symposium on Biocomputing (PSB), 2019
A universal measure for network traceability.
Lu, Xin and Horn, Abigail L and Su, Jiahao and Jiang, Jiang, Omega, 2019
Locating the source of large-scale outbreaks of foodborne disease.
Horn, Abigail L and Friedrich, Hanno, Journal of the Royal Society Interface, 2019
Motion-Capture Patterns of Voluntarily Mimicked Dynamic Facial Expressions in Children and Adolescents With and Without ASD.
Zane, Emily and Yang, Zhaojun and Pozzan, Lucia and Guha, Tanaya and Narayanan, Shrikanth and Grossman, Ruth, Journal of autism and developmental disorders, 2019
Cross-Modal Coordination of Face-Directed Gaze and Emotional Speech Production in School-Aged Children and Adolescents with ASD.
Sorensen, Tanner and Zane, Emily and Feng, Tiantian and Narayanan, Shrikanth and Grossman, Ruth, Scientific Reports, 2019
Multitask learning and benchmarking with clinical time series data.
Harutyunyan, Hrayr and Khachatrian, Hrant and Kale, David C. and Ver Steeg, Greg and Galstyan, Aram, Nature Scientific Data, 2019
Estimating individualized daily self-reported affect with wearable sensors.
Yan, Shen and Hosseinmardi, Homa and Kao, Hsien-Te and Narayanan, Shrikanth and Lerman, Kristina and Ferrara, Emilio, 2019 IEEE International Conference on Healthcare Informatics (ICHI), 2019
Lessons learned: Recommendations for implementing a longitudinal study using wearable and environmental sensors in a health care organization.
L'Hommedieu, Michelle and L'Hommedieu, Justin and Begay, Cynthia and Schenone, Alison and Dimitropoulou, Lida and Margolin, Gayla and Falk, Tiago and Ferrara, Emilio and Lerman, Kristina and Narayanan, Shrikanth and others, JMIR mHealth and uHealth, 2019
Multimodal Human and Environmental Sensing for Longitudinal Behavioral Studies in Naturalistic Settings: Framework for Sensor Selection, Deployment, and Management.
Booth, Brandon M and Mundnich, Karel and Feng, Tiantian and Nadarajan, Amrutha and Falk, Tiago H and Villatte, Jennifer L and Ferrara, Emilio and Narayanan, Shrikanth, Journal of Medical Internet Research, 2019
Scanner invariant representations for diffusion MRI harmonization.
Harutyunyan, Hrayr and Khachatrian, Hrant and Kale, David C. and Ver Steeg, Greg and Galstyan, Aram, Nature Scientific Data, 2019
Could social bots pose a threat to public health?
Allem, Jon-Patrick and Ferrara, Emilio, American Journal of Public Health, 2018
Discovering latent psychological structures from self-report assessments of hospital workers.
Kao, Hsien-Te and Hosseinmardi, Homa and Yan, Shen and Hasan, Michelle and Narayanan, Shrikanth and Lerman, Kristina and Ferrara, Emilio, J2018 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC), 2018
Social Bots for Online Public Health Interventions.
Deb, Ashok and Majmundar, Anuja and Seo, Sungyong and Matsui, Akira and Tandon, Rajat and Yan, Shen and Allem, Jon-Patrick and Ferrara, Emilio, Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2018, 2018
Towards Continuous Scientific Data Analysis and Hypothesis Evolution.
Yolanda Gil and Daniel Garijo and Varun Ratnakar and Rajiv Mayani and Ravali Adusumilli and Hunter Boyce and Arunima Srivastava and Parag Mallick, Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), 2017
Thoughtful Artificial Intelligence: Forging A New Partnership for Data Science and Scientific Discovery.
Yolanda Gil, Data Science, 2017
The network source location problem in the context of foodborne disease outbreaks.
Horn, Abigail L and Friedrich, Hanno, Dynamics on and of Complex Networks, 2017
Characterizing Articulation in Apraxic Speech Using Real-time Magnetic Resonance Imaging.
Hagedorn, Christina and Proctor, Michael I. and Goldstein, Louis and Wilson, Stephen M. and Miller, Bruce and Tempini, Maria Luisa Gorno and Narayanan, Shrikanth S, Journal of Speech, Language, and Hearing Research, 2017
The promise and the challenge of technology-facilitated methods for assessing behavioral and cognitive markers of risk for suicide among US Army National Guard personnel.
Baucom, Brian RW and Georgiou, Panayiotis and Bryan, Craig J and Garland, Eric L and Leifker, Feea and May, Alexis and Wong, Alexander and Narayanan, Shrikanth S, International journal of environmental research and public health, 2017
Using Multimodal Wearable Technology to Detect Conflict among Couples.
Timmons, Adela and Chaspari, Theodora and Han, Sohyun and Perrone, Laura and Narayanan, Shrikanth S. and Margolin, Gayla, IEEE Computer (Special Issue on Quality-of-Life Technologies), 2017
MUPET - Mouse Ultrasonic Profile ExTraction: A signal processing tool for rapid and unsupervised analysis of ultrasonic vocalizations.
Van Segbroeck, Maarten and Knoll, Allison and Levitt, Pat and Narayanan, Shrikanth, Neuron, 2017
Signal Processing and Machine Learning for Mental Health Research and Clinical Applications.
Bone, Daniel and Lee, Chi-Chun and Chaspari, Theodora and Gibson, James and Narayanan, Shrikanth, IEEE Signal Processing Magazine, 2017
Comprehensive discovery of subsample gene expression components by information explanation: therapeutic implications in cancer.
Pepke, Shirley and Ver Steeg, Greg, BMC Medical Genomics, 2017
E-cigarette surveillance with social media data: social bots, emerging topics, and trends.
Allem, Jon-Patrick and Ferrara, Emilio and Uppu, Sree Priyanka and Cruz, Tess Boley and Unger, Jennifer B and others, JMIR Public Health and Surveillance, 2017
Use of Machine Learning to Improve Autism Screening and Diagnostic Instruments: Effectiveness, Efficiency, and Multi-Instrument Fusion.
Bone, Daniel and Bishop, Somer and Black, Matthew P. and Goodwin, Matthew and Lord, Catherine and Narayanan, Shrikanth S, The Journal of Child Psychology and Psychiatry, 2016
A computational study of expressive facial dynamics in children with autism.
Guha, Tanaya and Yang, Zhaojun and Grossman, Ruth B and Narayanan, Shrikanth S, IEEE transactions on affective computing, 2016
Applying Machine Learning to Facilitate Autism Diagnostics: Pitfalls and promises.
Bone, Daniel and Goodwin, Matthew and Black, Matthew P. and Lee, Chi-Chun and Audhkhasi, Kartik and Narayanan, Shrikanth S, Journal of Autism and Developmental Disorders, 2015
"Rate my therapist": Automated detection of empathy in drug and alcohol counseling via speech and language processing.
Xiao, Bo and Imel, Zac E. and Georgiou, Panayiotis and Atkins, David and Narayanan, Shrikanth S, PLoS ONE, 2015
Automatic intelligibility classification of sentence-level pathological speech.
Kim, Jangwon and Kumar, Naveen and Tsiartas, Andreas and Li, Ming, Computer, Speech, and Language, 2014
Toward automating a human behavioral coding system for married couples' interactions using speech acoustic features.
Black, Matthew P. and Katsamanis, Athanasios and Baucom, Brian and Lee, Chi-Chun and Lammert, Adam and Christensen, Andrew and Georgiou, Panayiotis and Narayanan, Shrikanth S, 2013
Evaluation of swallow function post tongue cancer treatment using real-time MRI: A pilot study.
Zu, Yihe and Narayanan, Shrikanth S. and Kim, Yoon-Chul and Nayak, Krishna S. and Bronson-Lowe, Christina and Villegas, Brenda and Ouyoung, Melody and Sinha, Uttam, JAMA Otolaryngology - Head & Neck Surgery, 2013
Multi-stage modeling using fuzzy multi-criteria feature selection to improve survival prediction of ICU septic shock patients.
Cismondi, Federico and Horn, Abigail L and Fialho, Andre S and Vieira, Susana M and Reti, Shane R and Sousa, Joo MC and Finkelstein, Stan, Expert Systems with Applications, 2012
Acceptance of rules generated by machine learning among medical experts.
Pazzani, Michael J and Mani, S and Shankle, William R, Methods of Information in Medicine, 2001
Combinatorial optimization in rapidly mutating drug-resistant viruses.
Lathrop, Richard H and Pazzani, Michael J, Journal of Combinatorial Optimization, 1999
CTSHIV: a knowledge-based system for the management of HIV-infected patients.
Pazzani, Michael and Iyer, Ranjit and See, Darryl and Schroeder, Edison and Tilles, Jeremiah, Proceedings Intelligent Information Systems. IIS'97, 1997