FairNN- Conjoint Learning of Fair Representations for Fair Decisions

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FairNN- Conjoint Learning of Fair Representations for Fair Decisions

5 April 2020

Vasileios Iosifidis

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Papers citing "FairNN- Conjoint Learning of Fair Representations for Fair Decisions"

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Title
Fair Representation Learning for Continuous Sensitive Attributes using Expectation of Integral Probability Metrics Insung Kong Kunwoong Kim Yongdai Kim FaML 184 1 0 09 May 2025
Identifying Reasons for Bias: An Argumentation-Based Approach Madeleine Waller Odinaldo Rodrigues O. Cocarascu FaML 77 2 0 25 Oct 2023
Bias Mitigation Methods for Binary Classification Decision-Making Systems: Survey and Recommendations Madeleine Waller Odinaldo Rodrigues O. Cocarascu FaML AI4CE 67 2 0 31 May 2023
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 109 177 0 14 Jul 2022
A survey on datasets for fairness-aware machine learning Tai Le Quy Arjun Roy Vasileios Iosifidis Wenbin Zhang Eirini Ntoutsi FaML 112 252 0 01 Oct 2021
Online Fairness-Aware Learning with Imbalanced Data Streams Vasileios Iosifidis Wenbin Zhang Eirini Ntoutsi FaML AI4TS 50 8 0 13 Aug 2021