| Forecasting influenza-like illness dynamics for military populations using neural networks and social media S Volkova, E Ayton, K Porterfield, CD Corley PloS one 12 (12), e0188941, 2017 | 111 | 2017 |
| Explaining multimodal deceptive news prediction models S Volkova, E Ayton, DL Arendt, Z Huang, B Hutchinson Proceedings of the international AAAI conference on web and social media 13 …, 2019 | 32 | 2019 |
| Foundation Models of Scientific Knowledge for Chemistry: Opportunities, Challenges and Lessons Learned S Horawalavithana, E Ayton, S Sharma, S Howland, M Subramanian, ... Proceedings of BigScience Episode\# 5--Workshop on Challenges & Perspectives …, 2022 | 26 | 2022 |
| Fishing for clickbaits in social images and texts with linguistically-infused neural network models M Glenski, E Ayton, D Arendt, S Volkova arXiv preprint arXiv:1710.06390, 2017 | 26 | 2017 |
| Multilingual multimodal digital deception detection and disinformation spread across social platforms M Glenski, E Ayton, J Mendoza, S Volkova arXiv preprint arXiv:1909.05838, 2019 | 19 | 2019 |
| Crosscheck: Rapid, reproducible, and interpretable model evaluation D Arendt, Z Huang, P Shrestha, E Ayton, M Glenski, S Volkova Proceedings of the Second Workshop on Data Science with Human in the Loop …, 2020 | 17 | 2020 |
| Towards Trustworthy Deception Detection: Benchmarking Model Robustness across Domains, Modalities, and Languages M Glenski, E Ayton, R Cosbey, D Arendt, S Volkova Proceedings of the 3rd International Workshop on Rumours and Deception in …, 2020 | 11 | 2020 |
| Evaluation of Algorithm Selection and Ensemble Methods for Causal Discovery E Saldanha, R Cosbey, E Ayton, M Glenski, J Cottam, K Shivaram, ... Workshop on Causal Discovery & Causality-Inspired Machine Learning, 2020 | 5 | 2020 |
| Deep learning approaches to chemical property prediction from brewing recipes G Ermi, E Ayton, N Price, B Hutchinson 2018 International Joint Conference on Neural Networks (IJCNN), 1-7, 2018 | 5 | 2018 |
| Networked sensing for radiation detection, localization, and tracking RJ Cooper, N Abgrall, G Aversano, MS Bandstra, D Hellfeld, TH Joshi, ... Journal of Physics: Conference Series 2586 (1), 012125, 2023 | 4 | 2023 |
| Explaining and predicting human behavior and social dynamics in simulated virtual worlds: reproducibility, generalizability, and robustness of causal discovery methods S Volkova, D Arendt, E Saldanha, M Glenski, E Ayton, J Cottam, S Aksoy, ... Computational and Mathematical Organization Theory 29 (1), 220-241, 2023 | 4 | 2023 |
| EXPERT: Public Benchmarks for Dynamic Heterogeneous Academic Graphs S Horawalavithana, E Ayton, A Usenko, S Sharma, J Eshun, R Cosbey, ... arXiv preprint arXiv:2204.07203, 2022 | 3 | 2022 |
| Learning Global Proliferation Expertise Evolution Using AI-Driven Analytics and Public Information M Glenski, E Ayton, S Soni, E Saldanha, D Arendt, B Quiter, R Cooper, ... IEEE Transactions on Nuclear Science 69 (6), 1375-1384, 2022 | 2 | 2022 |
| Domain-Aware ML-Driven Predictive Analytics for Real-Time Proliferation Detection in Urban Environments E Ayton, S Soni, M Banstra, B Quiter, R Cooper, S Volkova Proceedings of ACM Conference, 2022 | 1 | 2022 |
| Leveraging Community and Author Context to Explain the Performance and Bias of Text-Based Deception Detection Models G Weld, E Ayton, T Althoff, M Glenski Proceedings of the Fourth Workshop on NLP for Internet Freedom: Censorship …, 2021 | 1 | 2021 |
| Machine Intelligence to Detect, Characterise, and Defend against Influence Operations in the Information Environment S Volkova, M Glenski, E Ayton, E Saldanha, J Mendoza, D Arendt, Z Shaw, ... Journal of Information Warfare 20 (2), 42-66, 2021 | 1 | 2021 |
| Anticipating Technical Expertise and Capability Evolution in Research Communities Using Dynamic Graph Transformers S Horawalavithana, E Ayton, A Usenko, R Cosbey, S Volkova IEEE Transactions on Computational Social Systems, 2024 | | 2024 |
| Evaluating Deception Detection Model Robustness To Linguistic Variation M Glenski, E Ayton, R Cosbey, D Arendt, S Volkova Proceedings of the Ninth International Workshop on Natural Language …, 2021 | | 2021 |
| Multilingual Multimodal Digital Deception Detection and Spread across Social Platforms M Glenski, E Ayton, J Mendoza, S Volkova | | 2019 |
| Multimodal Prediction of Suspicious News Types on Twitter E Ayton | | 2018 |
