Diversity-aware fairness testing of machine learning classifiers through hashing-based sampling-Reference-Cited by-同舟云学术

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Diversity-aware fairness testing of machine learning classifiers through hashing-based sampling

Published:2024-03 Issue: Volume:167 Page:107390
ISSN:0950-5849
Container-title:Information and Software Technology
language:en
Short-container-title:Information and Software Technology

Author:

Zhao Zhenjiang^ORCID,Toda Takahisa,Kitamura Takashi

Funder

New Energy and Industrial Technology Development Organization

Japan Science and Technology Agency

Publisher

Elsevier BV

Subject

Computer Science Applications,Information Systems,Software

Reference65 articles.

1. Machine bias;Angwin,2016

2. Predicting credit risk in peer-to-peer lending: A neural network approach;Byanjankar,2015

3. Learning fair and transferable representations with theoretical guarantees;Oneto,2020

4. Discretion in hiring;Hoffman;Q. J. Econ.,2018

5. Fairness in machine learning;Oneto,2019

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