A novel fairness-aware ensemble model based on hybrid sampling and modified two-layer stacking for fair classification

Author:

Zhang Wenyu,He Fang,Zhang ShuaiORCID

Funder

National Natural Science Foundation of China

Zhejiang Natural Science Foundation of China

Zhejiang Key R&D Program of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Reference46 articles.

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3. Bellamy RK, Dey K, Hind M, Hoffman SC, Houde S, Kannan K et al (2019) AI Fairness 360: an extensible toolkit for detecting and mitigating algorithmic bias. IBM J Res Dev 4(1–4):15

4. Breiman L (1996) Bagging predictors. Mach Learn 24(2):123–140

5. Breiman L (2001) Random forests. Mach Learn 45(1):5–32

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