Follow
Robin Cosbey
Title
Cited by
Cited by
Year
Deep learning for classroom activity detection from audio
R Cosbey, A Wusterbarth, B Hutchinson
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
392019
Foundation Models of Scientific Knowledge for Chemistry: Opportunities, Challenges and Lessons Learned
S Horawalavithana, E Ayton, S Sharma, S Howland, M Subramanian, ...
ACL Challenges & Perspectives in Creating Large Language Models, 2022
172022
MotifAnalyzer‐PDZ: A computational program to investigate the evolution of PDZ‐binding target specificity
J Valgardson, R Cosbey, P Houser, M Rupp, R Van Bronkhorst, M Lee, ...
Protein Science 28 (12), 2127-2143, 2019
132019
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
102020
Evaluation of Algorithm Selection and Ensemble Methods for Causal Discovery
E Saldanha, R Cosbey, E Ayton, M Glenski, J Cottam, K Shivaram, ...
Causal Discovery & Causality-Inspired Machine Learning Workshop at Neural …, 2020
52020
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
Anticipating Technical Expertise and Capability Evolution in Research Communities using Dynamic Graph Transformers
S Horawalavithana, E Ayton, A Usenko, R Cosbey, S Volkova
arXiv preprint arXiv:2307.09665, 2023
2023
Evaluating Deception Detection Model Robustness To Linguistic Variation
M Glenski, E Ayton, R Cosbey, D Arendt, S Volkova
arXiv preprint arXiv:2104.11729, 2021
2021
Classifying Classroom Audio With Supervised Deep Models
R Cosbey, A Wusterbarth
2018
Identifying Class Activity by Automatic Clustering of Classroom Noise
R Cosbey, A Wusterbarth
2017
The system can't perform the operation now. Try again later.
Articles 1–10