Preprocessing Debiasing
Preprocessing Debiasing is a methodological approach in machine learning that belongs to the class of bias mitigation techniques and is distinguished by its application prior to model training to modify input data or features in order to reduce or eliminate unfair representational biases with respect to protected attributes.
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2017–2026
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Using Iterated Bagging to Debias Regressions
Leo Breiman · Machine Learning · 2001 · 311 citations · Full text
Robust Emotion Recognition in Context Debiasing
Dingkang Yang, Kun Yang, M. H. Li et al. · 2024 · 25 citations
Joshua R. Minot, Nicholas Cheney, Marc Maier et al. · ACM Transactions on Computing for Healthcare · 2022 · 25 citations · Full text
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University of Novi Sad
Novi Sad, Serbia
1 h-index
2 publications
84 citations
University of Nebraska–Lincoln
Lincoln, United States
1 h-index
2 publications
36 citations
Avia-GIS (Belgium)
Zoersel, Belgium
1 h-index
1 publications
42 citations
Fudan University
Shanghai, China
1 h-index
6 publications
150 citations

University of Vermont
Burlington, United States
1 h-index
5 publications
125 citations
VA Boston Healthcare System
Boston, United States
1 h-index
1 publications
25 citations
NOAA National Centers for Environmental Information
Asheville, United States
1 h-index
1 publications
18 citations
Korea University
Seoul, South Korea
1 h-index
2 publications
58 citations
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1 publications · 42 citations
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1 publications · 24 citations
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1 publications · 29 citations
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1 publications · 25 citations
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1 publications · 18 citations
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