Adaptive boosting with fairness-aware reweighting technique for fair classification-Reference-Cited by-同舟云学术

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Adaptive boosting with fairness-aware reweighting technique for fair classification

Published:2024-09 Issue: Volume:250 Page:123916
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Song Xiaobin^ORCID,Liu Zeyuan^ORCID,Jiang Benben^ORCID

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference41 articles.

1. A reductions approach to fair classification;Agarwal;In Proceedings of International Conference on Machine Learning,2018

2. Fair active learning;Anahideh;Expert Systems with Applications,2022

3. Machine Bias;Angwin;ProPublica,2016

4. Becker, B., & Kohavi, R. (1996). Adult, UCI Machine Learning Repository. https://doi. org/10.24432/C5XW20.

5. Machine learning for industrial applications: A comprehensive literature review;Bertolini;Expert Systems with Applications,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Novel Approach for Model Interpretability and Domain Aware Fine-Tuning in AdaBoost;Human-Centric Intelligent Systems;2024-09-08

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