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Varshney, Kush
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1

Add-Remove-or-Relabel: Practitioner-Friendly Bias Mitigatio..:

, In: Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency,
Richardson, Brianna ; Sattigeri, Prasanna ; Wei, Dennis... - p. 736-752 , 2023
Link: https://dl.acm.org/doi/1..
 
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2

Uncertainty Quantification 360: A Hands-on Tutorial:

, In: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD),
Ghosh, Soumya ; Liao, Q. Vera ; Natesan Ramamurthy, Karthikeyan... - p. 333-335 , 2022
Link: https://dl.acm.org/doi/1..
 
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3

Out-of-Distribution Detection in Dermatology Using Input Pe..:

, In: 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI),
Kim, Hannah ; Tadesse, Girmaw Abebe ; Cintas, Celia.. - p. 1-4 , 2022
Link: https://doi.org/10.1109/..
 
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4

AI Fairness:

Mahoney, Trisha ; Varshney, Kush ; Hind, Michael - 1st edition . , 2020
Link: https://learning.oreilly..
 
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5

Joint Optimization of AI Fairness and Utility : A Human-..:

, In: Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society,
Zhang, Yunfeng ; Bellamy, Rachel ; Varshney, Kush - p. 400-406 , 2020
Link: https://dl.acm.org/doi/1..
 
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6

Performance Analysis of SSSC in a Multi-Machine Transmissio..:

, In: 2019 International Conference on Electrical, Electronics and Computer Engineering (UPCON),
Varshney, Kush ; Kumar, Ankush ; Qurratulain.. - p. 1-6 , 2019
Link: https://doi.org/10.1109/..
 
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7

Sparsity-Driven Synthetic Aperture Radar Imaging: Reconstru..:

Cetin, Mujdat ; Stojanovic, Ivana ; Onhon, Ozben...
IEEE Signal Processing Magazine.  31 (2014)  4 - p. 27-40 , 2014
Link: https://doi.org/10.1109/..
 
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8

Business Analytics Based on Financial Time Series:

Varshney, Kush ; Mojsilović, Aleksandra
IEEE Signal Processing Magazine.  28 (2011)  5 - p. 83-93 , 2011
Link: https://doi.org/10.1109/..
 
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9

Skin Tone Analysis for Representation in Educational Materi..:

Tadesse, Girmaw Abebe ; Cintas, Celia ; Varshney, Kush R....
npj Digital Medicine.  6 (2023)  1 - p. , 2023
Link: https://doi.org/10.1038/..
 
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10

Trustworthy AI and the Logics of Intersectional Resistance:

, In: Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency,
Knowles, Bran ; Fledderjohann, Jasmine ; Richards, John T.. - p. 172-182 , 2023
Link: https://dl.acm.org/doi/1..
 
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11

Humble AI:

Knowles, Bran ; D'Cruz, Jason ; Richards, John T..
Communications of the ACM.  66 (2023)  9 - p. 73-79 , 2023
Link: https://doi.org/10.1145/..
 
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12

The incentive gap in data work in the era of large models:

Gero, Katy Ilonka ; Das, Payel ; Dognin, Pierre...
Nature Machine Intelligence.  5 (2023)  6 - p. 565-567 , 2023
Link: https://doi.org/10.1038/..
 
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13

A synergistic future for AI and ecology:

Han, Barbara A. ; Varshney, Kush R. ; LaDeau, Shannon...
Proceedings of the National Academy of Sciences.  120 (2023)  38 - p. , 2023
Link: https://doi.org/10.1073/..
 
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14

Causal Feature Selection for Algorithmic Fairness:

, In: Proceedings of the 2022 International Conference on Management of Data,
Galhotra, Sainyam ; Shanmugam, Karthikeyan ; Sattigeri, Prasanna. - p. 276-285 , 2022
Link: https://dl.acm.org/doi/1..
 
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15

Human-centered explainability for life sciences, healthcare..:

Dey, Sanjoy ; Chakraborty, Prithwish ; Kwon, Bum Chul...
Patterns.  3 (2022)  5 - p. 100493 , 2022
Link: https://doi.org/10.1016/..
 
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