| 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 | 43 | 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 | 27 | 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 | 16 | 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 | 3 | 2022 |
| On the Promise for Assurance of Differentiable Neurosymbolic Reasoning Paradigms LE Richards, J Yaros, J Babcock, C Ly, R Cosbey, T Doster, C Matuszek arXiv preprint arXiv:2502.08932, 2025 | | 2025 |
| Exploring the Benefits of Domain-Pretraining of Generative Large Language Models for Chemistry A Acharya, S Sharma, R Cosbey, M Subramanian, S Howland, M Glenski arXiv preprint arXiv:2411.03542, 2024 | | 2024 |
| 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 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 |
Svitlana VolkovaChief of AI, Office of Science and Technology, Aptima Inc.Email được xác minh tại aptima.com