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Ellyn Ayton
Ellyn Ayton
Verified email at pnnl.gov
Title
Cited by
Cited by
Year
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
1052017
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
302019
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
252017
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
192022
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
192019
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
152020
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
112020
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
52020
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
42023
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
42018
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
32023
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
22022
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
22022
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
12022
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
12021
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
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
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
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Articles 1–20