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Bias mitigation techniques in image classification: fair machine
  learning in human heritage collections

Bias mitigation techniques in image classification: fair machine learning in human heritage collections

20 March 2023
Dalia Ortiz Pablo
Sushruth Badri
Erik Norén
Christoph Nötzli
ArXivPDFHTML

Papers citing "Bias mitigation techniques in image classification: fair machine learning in human heritage collections"

5 / 5 papers shown
Title
A Systematic Study of Bias Amplification
A Systematic Study of Bias Amplification
Melissa Hall
L. V. D. van der Maaten
Laura Gustafson
Maxwell Jones
Aaron B. Adcock
92
70
0
27 Jan 2022
Demographic Bias in Biometrics: A Survey on an Emerging Challenge
Demographic Bias in Biometrics: A Survey on an Emerging Challenge
P. Drozdowski
Christian Rathgeb
A. Dantcheva
N. Damer
C. Busch
FaML
127
200
0
05 Mar 2020
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
308
4,203
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
201
2,082
0
24 Oct 2016
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
201
14,357
0
07 Oct 2016
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