Deep Learning for Classroom Activity Detection from Audio. - Robin Cosbey; Allison Wusterbarth; Brian Hutchinson (ICASSP, 2019)

Evaluating Deception Detection Model Robustness To Linguistic Variation. - Maria Glenski; Ellyn Ayton; Robin Cosbey; Dustin Arendt; Svitlana Volkova (SocialNLP@NAACL, 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)

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)

Exploring the Benefits of Domain-Pretraining of Generative Large Language Models for Chemistry. - Anurag Acharya 002; Shivam Sharma; Robin Cosbey; Megha Subramanian; Scott Howland; Maria Glenski (CoRR, 2024)

Anticipating Technical Expertise and Capability Evolution in Research Communities Using Dynamic Graph Transformers. - Sameera Horawalavithana; Ellyn Ayton; Anastasiya Usenko; Robin Cosbey; Svitlana Volkova (IEEE Trans. Comput. Soc. Syst., 2024)

On the Promise for Assurance of Differentiable Neurosymbolic Reasoning Paradigms. - Luke E. Richards; Jessie Yaros; Jasen Babcock; Coung Ly; Robin Cosbey; Timothy Doster; Cynthia Matuszek (CoRR, 2025)