| Large-scale chemical language representations capture molecular structure and properties J Ross, B Belgodere, V Chenthamarakshan, I Padhi, Y Mroueh, P Das Nature Machine Intelligence 4 (12), 1256-1264, 2022 | 124 | 2022 |
| Transforming business policies to information technology security control terms for improved system compliance BM Belgodere, LM Herger, SM Khan, MA McCarthy, WJ Rippon US Patent App. 14/731,526, 2016 | 62 | 2016 |
| Composable DevOps: automated ontology based DevOps maturity analysis MA McCarthy, LM Herger, SM Khan, BM Belgodere 2015 IEEE international conference on services computing, 600-607, 2015 | 53 | 2015 |
| Image captioning as an assistive technology: Lessons learned from vizwiz 2020 challenge P Dognin, I Melnyk, Y Mroueh, I Padhi, M Rigotti, J Ross, Y Schiff, ... Journal of Artificial Intelligence Research 73, 437-459, 2022 | 40 | 2022 |
| Identifying transfer models for machine learning tasks P Watson, B Bhattacharjee, NC Codella, BM Belgodere, P Dube, ... US Patent App. 15/982,622, 2019 | 40 | 2019 |
| Automatic labeling of data for transfer learning P Dube, B Bhattacharjee, S Huo, P Watson, B Belgodere, JR Kender nature 192255, 2019 | 17 | 2019 |
| Do large scale molecular language representations capture important structural information J Ross, B Belgodere, V Chenthamarakshan, I Padhi, Y Mroueh, P Das arXiv preprint arXiv:2106.09553, 2021 | 15 | 2021 |
| P2l: Predicting transfer learning for images and semantic relations B Bhattacharjee, JR Kender, M Hill, P Dube, S Huo, MR Glass, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 13 | 2020 |
| Requirements for an enterprise AI benchmark C Bourrasset, F Boillod-Cerneux, L Sauge, M Deldossi, F Wellenreiter, ... Performance Evaluation and Benchmarking for the Era of Artificial …, 2019 | 11 | 2019 |
| Auditing and generating synthetic data with controllable trust trade-offs B Belgodere, P Dognin, A Ivankay, I Melnyk, Y Mroueh, A Mojsilovic, ... arXiv preprint arXiv:2304.10819, 2023 | 5 | 2023 |
| End-to-end service data analysis: Efficiencies achieved across the enterprise LM Herger, WJ Rippon, CA Fonseca, W Pointer, BM Belgodere, ... IBM Journal of Research and Development 61 (1), 1: 5-1: 16, 2017 | 3 | 2017 |
| Generating and augmenting transfer learning datasets with pseudo-labeled images P Watson, B Bhattacharjee, S Huo, NC Codella, BM Belgodere, P Dube, ... US Patent 11,151,410, 2021 | 2 | 2021 |
| Cognitive and contextual analytics for it services A Bivens, H Ramasamy, L Herger, W Rippon, C Fonseca, W Pointer, ... | 2 | 2017 |
| Composable Devops MA McCarthy, LM Herger, SM Khan, BM Belgodere IEEE International Conference on Services Computing, 2015 | 2 | 2015 |
| Unleashing Unstructured Data's Value for Enterprise IT Asset Management MA McCarthy, LM Herger, SM Khan, BM Belgodere 2013 IEEE International Conference on Services Computing, 511-518, 2013 | 2 | 2013 |
| Cloud-based real-time molecular screening platform with molformer B Belgodere, V Chenthamarakshan, P Das, P Dognin, T Kurien, I Melnyk, ... Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 1 | 2022 |
| Training transfer-focused models for deep learning P Watson, B Bhattacharjee, S Huo, NC Codella, BM Belgodere, P Dube, ... US Patent 11,853,877, 2023 | | 2023 |
| Characterizing pre-trained and task-adapted molecular representations C Cintas, P Das, J Ross, B Belgodere, GA Tadesse, ... UniReps: the First Workshop on Unifying Representations in Neural Models, 2023 | | 2023 |
| Automated data labeling using a geometric approach P Dube, JR Kender, B Bhattacharjee, BM Belgodere US Patent App. 17/705,595, 2023 | | 2023 |
| Risk Assessment and Statistical Significance in the Age of Foundation Models A Nitsure, Y Mroueh, M Rigotti, K Greenewald, B Belgodere, M Yurochkin, ... arXiv preprint arXiv:2310.07132, 2023 | | 2023 |
