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Vishwali Mhasawade
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Machine learning and algorithmic fairness in public and population health
V Mhasawade, Y Zhao, R Chunara
Nature Machine Intelligence 3 (8), 659-666, 2021
1302021
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
102*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
322022
Causal multi-level fairness
V Mhasawade, R Chunara
Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 784-794, 2021
222021
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
112020
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
102020
Understanding subgroup performance differences of fair predictors using causal models
SR Pfohl, N Harris, C Nagpal, D Madras, V Mhasawade, OE Salaudeen, ...
NeurIPS 2023 Workshop on Distribution Shifts: New Frontiers with Foundation …, 2023
22023
Neural Networks and Quantifier Conservativity: Does Data Distribution Affect Learnability?
V Mhasawade, IE Szabó, M Tosik, SF Wang
arXiv preprint arXiv:1809.05733, 2018
12018
Disparate Effect Of Missing Mediators On Transportability of Causal Effects
V Mhasawade, R Chunara
arXiv preprint arXiv:2403.08638, 2024
2024
Impact on Public Health Decision Making by Utilizing Big Data Without Domain Knowledge
M Zhang, S Rahman, V Mhasawade, R Chunara
arXiv preprint arXiv:2402.06059, 2024
2024
Understanding Disparities in Post Hoc Machine Learning Explanation
V Mhasawade, S Rahman, Z Haskell-Craig, R Chunara
arXiv preprint arXiv:2401.14539, 2024
2024
Machine Learning for Health (ML4H) 2023
S Hegselmann, A Parziale, D Shanmugam, S Tang, K Severson, ...
Machine Learning for Health (ML4H), 1-12, 2023
2023
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
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