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Systematic analysis of the impact of label noise correction on ML
  Fairness

Systematic analysis of the impact of label noise correction on ML Fairness

28 June 2023
I. O. E. Silva
Carlos Soares
I. Sousa
R. Ghani
ArXivPDFHTML

Papers citing "Systematic analysis of the impact of label noise correction on ML Fairness"

3 / 3 papers shown
Title
Fair-OBNC: Correcting Label Noise for Fairer Datasets
Fair-OBNC: Correcting Label Noise for Fairer Datasets
Ines Oliveira e Silva
Sérgio Jesus
Hugo Ferreira
Pedro Saleiro
Inês Sousa
P. Bizarro
Carlos Soares
48
0
0
08 Oct 2024
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
385
4,252
0
23 Aug 2019
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
209
2,093
0
24 Oct 2016
1