| Moma: Multi-object multi-actor activity parsing Z Luo, W Xie, S Kapoor, Y Liang, M Cooper, JC Niebles, E Adeli, FF Li Advances in neural information processing systems 34, 17939-17955, 2021 | 20 | 2021 |
| Physical workplaces and human well-being: A mixed-methods study to quantify the effects of materials, windows, and representation on biobehavioral outcomes IP Douglas, EL Murnane, LZ Bencharit, B Altaf, JM dos Reis Costa, ... Building and environment 224, 109516, 2022 | 11 | 2022 |
| Machine learning in computational histopathology: Challenges and opportunities M Cooper, Z Ji, RG Krishnan Genes, chromosomes & cancer, 2023 | 10 | 2023 |
| Copula-based deep survival models for dependent censoring AHF Gharari, M Cooper, R Greiner, RG Krishnan Uncertainty in Artificial Intelligence, 669-680, 2023 | 3 | 2023 |
| Deep Learning and the Future of the MELD-Na Score M Cooper, RG Krishnan, M Bhat Liver Transplantation: Official Publication of the American Association for …, 2022 | 2* | 2022 |
| InterpreTabNet: Enhancing Interpretability of Tabular Data Using Deep Generative Models and Large Language Models JYH Si, M Cooper, WY Cheng, R Krishnan NeurIPS 2023 Second Table Representation Learning Workshop, 2023 | | 2023 |
| DYNAMELD: ACCURATE, EQUITABLE MODELING OF END-STAGE LIVER DISEASE M Cooper, A Azhie, R Krishnan, M Bhat HEPATOLOGY 76, S62-S63, 2022 | | 2022 |
Rahul G. KrishnanUniversity of Torontocs.toronto.edu의 이메일 확인됨
