Survey on fairness notions and related tensions-Reference-Cited by-同舟云学术

Survey on fairness notions and related tensions

Published:2023 Issue: Volume:11 Page:100033
ISSN:2193-9438
Container-title:EURO Journal on Decision Processes
language:en
Short-container-title:EURO Journal on Decision Processes

Author:

Alves Guilherme,Bernier Fabien,Couceiro Miguel,Makhlouf Karima^ORCID,Palamidessi Catuscia,Zhioua Sami

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics,Business, Management and Accounting (miscellaneous),Statistics and Probability,General Decision Sciences

Reference67 articles.

1. A reductions approach to fair classification;Agarwal,2018

2. Fair regression: Quantitative definitions and reduction-based algorithms;Agarwal,2019

3. Trade-Offs between Fairness and Privacy in Machine Learning;Agarwal,2020

4. Reducing unintended bias of ML models on tabular and textual data;Alves,2021

5. Studying the impact of feature importance and weighted aggregation in tackling process fairness;Alves,2022

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4. A preprocessing Shapley value-based approach to detect relevant and disparity prone features in machine learning;The 2024 ACM Conference on Fairness, Accountability, and Transparency;2024-06-03

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