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Fair Oversampling Technique using Heterogeneous Clusters

Fair Oversampling Technique using Heterogeneous Clusters

23 May 2023
Ryosuke Sonoda
ArXivPDFHTML

Papers citing "Fair Oversampling Technique using Heterogeneous Clusters"

4 / 4 papers shown
Title
Intersectional Divergence: Measuring Fairness in Regression
Intersectional Divergence: Measuring Fairness in Regression
Joe Germino
Nuno Moniz
Nitesh Chawla
FaML
69
0
0
01 May 2025
Synthetic Tabular Data Generation for Class Imbalance and Fairness: A
  Comparative Study
Synthetic Tabular Data Generation for Class Imbalance and Fairness: A Comparative Study
Emmanouil Panagiotou
Arjun Roy
Eirini Ntoutsi
41
3
0
08 Sep 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
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
163
25,340
0
09 Jun 2011
1