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Rule Generation for Classification: Scalability, Interpretability, and Fairness

Rule Generation for Classification: Scalability, Interpretability, and Fairness

21 April 2021
Tabea E. Rober
Adia C. Lumadjeng
M. Akyuz
cS. .Ilker Birbil
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Papers citing "Rule Generation for Classification: Scalability, Interpretability, and Fairness"

4 / 4 papers shown
Title
bsnsing: A decision tree induction method based on recursive optimal
  boolean rule composition
bsnsing: A decision tree induction method based on recursive optimal boolean rule composition
Yan-ching Liu
15
6
0
30 May 2022
Fairness guarantee in multi-class classification
Fairness guarantee in multi-class classification
Christophe Denis
Romuald Elie
Mohamed Hebiri
Franccois Hu
FaML
18
47
0
28 Sep 2021
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
286
4,143
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
185
2,079
0
24 Oct 2016
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