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Mhasawade, Vishwali
21  results:
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1

A Causal Perspective on Label Bias:

, In: Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency,
Mhasawade, Vishwali ; D'Amour, Alexander ; Pfohl, Stephen R - p. 1282-1294 , 2024
Link: https://dl.acm.org/doi/1..
 
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2

Understanding Disparities in Post Hoc Machine Learning Expl..:

, In: Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency,
Mhasawade, Vishwali ; Rahman, Salman ; Haskell-Craig, Zoé. - p. 2374-2388 , 2024
Link: https://dl.acm.org/doi/1..
 
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3

Advancing Health Equity with Machine Learning:

, In: Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society,
Mhasawade, Vishwali - p. 955-956 , 2023
Link: https://dl.acm.org/doi/1..
 
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4

Generalizability challenges of mortality risk prediction mo..:

Singh, Harvineet ; Mhasawade, Vishwali ; Chunara, Rumi.
PLOS Digital Health.  1 (2022)  4 - p. e0000023 , 2022
Link: https://doi.org/10.1371/..
 
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5

Causal Multi-level Fairness:

, In: Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society,
Mhasawade, Vishwali ; Chunara, Rumi - p. 784-794 , 2021
Link: https://dl.acm.org/doi/1..
 
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6

Machine learning and algorithmic fairness in public and pop..:

Mhasawade, Vishwali ; Zhao, Yuan ; Chunara, Rumi
Nature Machine Intelligence.  3 (2021)  8 - p. 659-666 , 2021
Link: https://doi.org/10.1038/..
 
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7

Fairness Violations and Mitigation under Covariate Shift:

, In: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency,
Singh, Harvineet ; Singh, Rina ; Mhasawade, Vishwali. - p. 3-13 , 2021
Link: https://dl.acm.org/doi/1..
 
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8

Population-aware hierarchical bayesian domain adaptation vi..:

, In: Proceedings of the ACM Conference on Health, Inference, and Learning,
Mhasawade, Vishwali ; Rehman, Nabeel Abdur ; Chunara, Rumi - p. 182-192 , 2020
Link: https://dl.acm.org/doi/1..
 
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9

Role of the Built and Online Social Environments on Express..:

Mhasawade, Vishwali ; Elghafari, Anas ; Duncan, Dustin T..
International Journal of Environmental Research and Public Health.  17 (2020)  3 - p. 735 , 2020
Link: https://doi.org/10.3390/..
 
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10

Understanding Disparities in Post Hoc Machine Learning Expl..:

Mhasawade, Vishwali ; Rahman, Salman ; Haskell-Craig, Zoe.
http://arxiv.org/abs/2401.14539.  , 2024
Link: http://arxiv.org/abs/240..
 
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11

Role of the Built and Online Social Environments on Express..:

Mhasawade, Vishwali ; Elghafari, Anas ; Duncan, Dustin T.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7037839/.  , 2020
Link: http://www.ncbi.nlm.nih...
 
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12

Machine Learning in Population and Public Health:

Mhasawade, Vishwali ; Zhao, Yuan ; Chunara, Rumi
http://arxiv.org/abs/2008.07278.  , 2020
Link: http://arxiv.org/abs/200..
 
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13

Causal Multi-Level Fairness:

Mhasawade, Vishwali ; Chunara, Rumi
http://arxiv.org/abs/2010.07343.  , 2020
Link: http://arxiv.org/abs/201..
 
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14

Population-aware Hierarchical Bayesian Domain Adaptation vi..:

Mhasawade, Vishwali ; Rehman, Nabeel Abdur ; Chunara, Rumi
http://arxiv.org/abs/1908.09222.  , 2019
Link: http://arxiv.org/abs/190..
 
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15

Fairness Violations and Mitigation under Covariate Shift:

Singh, Harvineet ; Singh, Rina ; Mhasawade, Vishwali.
http://arxiv.org/abs/1911.00677.  , 2019
Link: http://arxiv.org/abs/191..
 
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