Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2405.05809
Cited By
Aequitas Flow: Streamlining Fair ML Experimentation
9 May 2024
Sérgio Jesus
Pedro Saleiro
Ines Oliveira e Silva
Beatriz M. Jorge
Rita P. Ribeiro
João Gama
P. Bizarro
Rayid Ghani
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Aequitas Flow: Streamlining Fair ML Experimentation"
2 / 2 papers shown
Title
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
294
4,187
0
23 Aug 2019
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
185
2,082
0
24 Oct 2016
1