Ellyn Ayton

According to our database, Ellyn Ayton authored at least 11 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Explaining and predicting human behavior and social dynamics in simulated virtual worlds: reproducibility, generalizability, and robustness of causal discovery methods.

Svitlana Volkova, Dustin Arendt, Emily Saldanha, Maria Glenski, Ellyn Ayton, Joseph Cottam, Sinan Aksoy, Brett Jefferson, Karthnik Shrivaram

Comput. Math. Organ. Theory, March, 2023

Anticipating Technical Expertise and Capability Evolution in Research Communities using Dynamic Graph Transformers.

Sameera Horawalavithana, Ellyn Ayton, Anastasiya Usenko, Robin Cosbey, Svitlana Volkova

CoRR, 2023

2022

EXPERT: Public Benchmarks for Dynamic Heterogeneous Academic Graphs.

Sameera Horawalavithana, Ellyn Ayton, Anastasiya Usenko, Shivam Sharma, Jasmine Eshun, Robin Cosbey, Maria Glenski, Svitlana Volkova

CoRR, 2022

2021

Leveraging Community and Author Context to Explain the Performance and Bias of Text-Based Deception Detection Models.

Galen Weld, Ellyn Ayton, Tim Althoff, Maria Glenski

CoRR, 2021

Towards Trustworthy Deception Detection: Benchmarking Model Robustness across Domains, Modalities, and Languages.

Maria Glenski, Ellyn Ayton, Robin Cosbey, Dustin Arendt, Svitlana Volkova

CoRR, 2021

Evaluating Deception Detection Model Robustness To Linguistic Variation.

Maria Glenski, Ellyn Ayton, Robin Cosbey, Dustin Arendt, Svitlana Volkova

Proceedings of the Ninth International Workshop on Natural Language Processing for Social Media, 2021

2020

CrossCheck: Rapid, Reproducible, and Interpretable Model Evaluation.

Dustin Arendt, Zhuanyi Huang, Prasha Shrestha, Ellyn Ayton, Maria Glenski, Svitlana Volkova

CoRR, 2020

2019

Multilingual Multimodal Digital Deception Detection and Disinformation Spread across Social Platforms.

Maria Glenski, Ellyn Ayton, Josh Mendoza, Svitlana Volkova

CoRR, 2019

Explaining Multimodal Deceptive News Prediction Models.

Svitlana Volkova, Ellyn Ayton, Dustin Lockhart Arendt, Zhuanyi Huang, Brian Hutchinson

Proceedings of the Thirteenth International Conference on Web and Social Media, 2019

2018

Deep Learning Approaches to Chemical Property Prediction from Brewing Recipes.

Gracie Ermi, Ellyn Ayton, Nolan Price, Brian Hutchinson

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Fishing for Clickbaits in Social Images and Texts with Linguistically-Infused Neural Network Models.

Maria Glenski, Ellyn Ayton, Dustin Arendt, Svitlana Volkova

CoRR, 2017