The Impact of Data Preparation on the Fairness of Software Systems

IEEE International Symposium on Software Reliability Engineering (ISSRE), 2019

5 October 2019

Papers citing "The Impact of Data Preparation on the Fairness of Software Systems"

11 / 11 papers shown

Data Preparation for Fairness-Performance Trade-Offs: A Practitioner-Friendly Alternative?

326

20 Dec 2024

Beyond Algorithmic Fairness: A Guide to Develop and Deploy Ethical AI-Enabled Decision-Support Tools

Rosemarie Santa Gonzalez

236

17 Sep 2024

A Catalog of Fairness-Aware Practices in Machine Learning Engineering

394

29 Aug 2024

Fair Overlap Number of Balls (Fair-ONB): A Data-Morphology-based Undersampling Method for Bias Reduction

José Daniel Pascual-Triana

Alberto Fernández

Paulo Novais

Francisco Herrera

199

19 Jul 2024

Exploring Fairness in Educational Data Mining in the Context of the Right to be Forgotten

401

27 May 2024

A Three-Way Knot: Privacy, Fairness, and Predictive Performance DynamicsPortuguese Conference on Artificial Intelligence (EPIA), 2023

Tânia Carvalho

Nuno Moniz

Luís Antunes

177

27 Jun 2023

Navigating Ensemble Configurations for Algorithmic Fairness

184

11 Oct 2022

AI Fairness: from Principles to Practice

A. Bateni

Matthew Chan

Ray Eitel-Porter

121

20 Jul 2022

An Empirical Study of Modular Bias Mitigators and Ensembles

148

01 Feb 2022

Fair Enough: Searching for Sufficient Measures of FairnessACM Transactions on Software Engineering and Methodology (TOSEM), 2021

Suvodeep Majumder

Joymallya Chakraborty

Gina R. Bai

Kathryn T. Stolee

Tim Menzies

231

25 Oct 2021

Auditing the Imputation Effect on Fairness of Predictive Analytics in Higher Education

169

13 Sep 2021