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 | 32 | 2022 |
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 | 31 | 2021 |
Machine learning in computational histopathology: Challenges and opportunities M Cooper, Z Ji, RG Krishnan Genes, chromosomes & cancer, 2023 | 30 | 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 | 7* | 2022 |
Copula-based deep survival models for dependent censoring AHF Gharari, M Cooper, R Greiner, RG Krishnan Uncertainty in Artificial Intelligence, 669-680, 2023 | 6 | 2023 |
InterpreTabNet: distilling predictive signals from tabular data by salient feature interpretation J Si, WY Cheng, M Cooper, RG Krishnan arXiv preprint arXiv:2406.00426, 2024 | 2* | 2024 |
DynaMELD: A Dynamic Model of End-Stage Liver Disease for Equitable Prioritization MJ Cooper, X Gao, X Zhao, D Khoroshchuk, Y Wang, A Azhie, ... medRxiv, 2024.11. 19.24316852, 2024 | | 2024 |
Predicting Long-Term Allograft Survival in Liver Transplant Recipients X Gao, M Cooper, M Naghibzadeh, A Azhie, M Bhat, RG Krishnan arXiv preprint arXiv:2408.05437, 2024 | | 2024 |
Unlearning Tabular Data Without a "Forget Set'' A Newatia, M Cooper, R Krishnan NeurIPS 2024 Third Table Representation Learning Workshop, 2024 | | 2024 |
Dynameld: Accurate, Equitable Modeling of End-Stage Liver Disease M Cooper, X Gao, Y Wang, A Azhie, D Chahal, S Holdsworth, ... AMERICAN JOURNAL OF TRANSPLANTATION 23 (6), S585-S585, 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 |