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 | 39 | 2019 |
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 | 17 | 2022 |
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 | 13 | 2019 |
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, ... Causal Discovery & Causality-Inspired Machine Learning Workshop at Neural …, 2020 | 5 | 2020 |
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 | 2 | 2022 |
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 |