Publications
This section contains publications published by ISI over the past several decades.
2024
HCC: Small: The Evolution of Language Use in Online Communities
Emilio Ferrara
NSF Award Number 2331722. Directorate for Computer and Information Science …, 2024
TEXT2KG-DQMLKG-24 (TEXT2KG 2024 and DQMLKG 2024) 3rd International workshop one knowledge graph generation from text. Data Quality meets Machine Learning and Knowledge Graphs …
Sanju Tiwari, Nandana Mihindukulasooriya, Francesco Osborne, Dimitris Kontokostas, Jennifer D'Souza, Mayank Kejriwal, Maria Angela Pellegrino, Anisa Rula, José Emilio Labra Gayo, Michael Cochez, Mehwish Alam
CEUR-WS. org, 2024
A large-scale simulation on large language models for decision-making in political science
Chenxiao Yu, Jinyi Ye, Yuangang Li, Zheng Li, Emilio Ferrara, Xiyang Hu, Yue Zhao
arXiv preprint arXiv:2412.15291, 2024
Txt360: A top-quality llm pre-training dataset requires the perfect blend
Liping Tang, Nikhil Ranjan, Omkar Pangarkar, Xuezhi Liang, Zhen Wang, Li An, Bhaskar Rao, Linghao Jin, Huijuan Wang, Zhoujun Cheng, Suqi Sun, Cun Mu, Victor Miller, Xuezhe Ma, Yue Peng, Zhengzhong Liu, Eric P Xing
Monitoring low and intermittent methane emission from orphaned and idle wells
Nima Daneshvarjejad, Pooya Khodaparast, Young Cho, Donald Paul, Mike Hauser, Shahram Farhadi, Iraj Ershaghi
SPE Western Regional Meeting, D011S006R001, 2024
A method for detection of methane leaks from idle and orphaned wells using high-precision sensor and a ventilation canopy
Nima Daneshvarjejad, Pooya Khodaparast, Young Cho, Donald Paul, Shahram Farhadi, Iraj Ershaghi
SPE Canadian Energy Technology Conference, D011S002R001, 2024
Navigating privacy patterns in the era of robotaxis
Ala'a Al-Momani, David Balenson, Zoltán Adám Mann, Sebastian Pape, Jonathan Petit, Christoph Bösch
2024 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW), 32-39, 2024
ISAC: An Interactive Hierarchical Interface for Efficient Structural Analysis and Vertex Search in Complex Networks
Navapat Nananukul, Khanin Sisaengsuwanchai, Mayank Kejriwal
International Conference on Advances in Social Networks Analysis and Mining …, 2024
Developing Personalized Algorithms for Sensing Mental Health Symptoms in Daily Life
Adela Timmons, Abdullah Aman Tutul, Kleanthis Avramidis, Kayla Carta, Sierra Walters, Grace Jumonville, Alyssa Carrasco, Gabrielle Freitag, Daniela Romero, Matthew Ahle, Jonathan Comer, Shrikanth Narayanan
OSF, 2024
Development and Validation of a Deep Learning Algorithm to Automate Detection of Referable Glaucoma in a Safety Net Teleretinal Program
Haroon Rasheed, Sreenidhi Iyengar, Van Nguyen, Zhiwei Li, Aniket Kumar, Aidan Lee, Andrew Duong, Brandon Wong, Jeffrey Gluckstein, Kendra Hong, Kent Nguyen, Rahul Dhodapkar, Carl Kesselman, Lauren Daskivich, Michael Pazzani, Benjamin Y Xu
Investigative Ophthalmology & Visual Science 65 (7), 372-372, 2024
BinHunter: A Fine-Grained Graph Representation for Localizing Vulnerabilities in Binary Executables*
Sima Arasteh, Jelena Mirkovic, Mukund Raghothaman, Christophe Hauser
2024 Annual Computer Security Applications Conference (ACSAC), 1062-1074, 2024
Merge/Space: A Security Testbed for Satellite Systems
M Patrick Collins, Alefiya Hussain, J Walters, Calvin Ardi, Chris Tran, Stephen Schwab
SpaceSec, 2024
Can we get the best of both Binary Neural Networks and Spiking Neural Networks for Efficient Computer Vision?
Gourav Datta, Zeyu Liu, Peter Anthony Beerel
The Twelfth International Conference on Learning Representations, 2024
MoQ: Mixture-of-format Activation Quantization for Communication-efficient AI Inference System
Haonan Wang, Zeli Liu, Chao Fang, John Paul Walters, Stephen P Crago
NeurIPS 2024 Workshop Machine Learning with new Compute Paradigms, 2024
Demystifying Language Model Forgetting with Low-Rank Example Associations
Xisen Jin, Xiang Ren
arXiv preprint arXiv:2406.14026, 2024
Are Machines Better at Slow Thinking? Unveiling Human-Machine Inference Gaps in Entailment Verification
Soumya Sanyal, Tianyi Xiao, Jiacheng Liu, Wenya Wang, Xiang Ren
ICLR 2024 Workshop on Large Language Model (LLM) Agents, 2024
PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning
Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, Jena D Hwang, Xiang Lorraine Li, Hirona Jacqueline Arai, Soumya Sanyal, Keisuke Sakaguchi, Xiang Ren, Yejin Choi
The Twelfth International Conference on Learning Representations, 2024
Biased Bots: An Empirical Demonstration of How AI Bias Could Compromise Mental Healthcare
Adela Timmons, Kexin Feng, Kayla Carta, Sierra Walters, Grace Jumonville, Alyssa Carrasco, Gabrielle Freitag, Daniela Romero, Gayla Margolin, Shrikanth Narayanan, Jonathan Comer, Matthew Ahle
OSF, 2024
Emotion-aware speech popularity prediction: a use-case on TED talks
Dimitrios Sgouropoulos, Petros Mitseas, Sofia Eleftheriou, Theodoros Giannakopoulos, Antonia Petrogianni, Lefteris Kapelonis, Nikolaos Antoniou, Athanasios Katsamanis, Shrikanth Narayanan
2024 12th International Conference on Affective Computing and Intelligent …, 2024
ROBUSER: A robustness benchmark for Speech Emotion Recognition
Antonia Petrogianni, Lefteris Kapelonis, Nikolaos Antoniou, Sofia Eleftheriou, Petros Mitseas, Dimitris Sgouropoulos, Athanasios Katsamanis, Theodoros Giannakopoulos, Shrikanth Narayanan
2024 12th International Conference on Affective Computing and Intelligent …, 2024