| Machine learning and algorithmic fairness in public and population health V Mhasawade, Y Zhao, R Chunara Nature Machine Intelligence 3 (8), 659-666, 2021 | 92 | 2021 |
| Fairness violations and mitigation under covariate shift H Singh, R Singh, V Mhasawade, R Chunara Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021 | 79* | 2021 |
| Generalizability challenges of mortality risk prediction models: A retrospective analysis on a multi-center database H Singh, V Mhasawade, R Chunara PLOS Digital Health 1 (4), e0000023, 2022 | 19 | 2022 |
| Causal multi-level fairness V Mhasawade, R Chunara Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 784-794, 2021 | 18 | 2021 |
| Population-aware hierarchical bayesian domain adaptation via multi-component invariant learning V Mhasawade, NA Rehman, R Chunara Proceedings of the ACM Conference on Health, Inference, and Learning, 182-192, 2020 | 11 | 2020 |
| Role of the built and online social environments on expression of dining on instagram V Mhasawade, A Elghafari, DT Duncan, R Chunara International journal of environmental research and public health 17 (3), 735, 2020 | 9 | 2020 |
| Neural Networks and Quantifier Conservativity: Does Data Distribution Affect Learnability? V Mhasawade, IE Szabó, M Tosik, SF Wang arXiv preprint arXiv:1809.05733, 2018 | 1 | 2018 |
| Advancing Health Equity with Machine Learning V Mhasawade Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 955-956, 2023 | | 2023 |
| Phase-wise Impact Analysis of the Indian National Lockdown against COVID-19 Outcomes V Mhasawade, S Zadey, A Nair medRxiv, 2022.10. 27.22281585, 2022 | | 2022 |
Rumi ChunaraNew York University在 alum.mit.edu 的电子邮件经过验证
