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Metrics for Dataset Demographic Bias: A Case Study on Facial Expression
  Recognition

Metrics for Dataset Demographic Bias: A Case Study on Facial Expression Recognition

28 March 2023
Iris Dominguez-Catena
D. Paternain
M. Galar
ArXivPDFHTML

Papers citing "Metrics for Dataset Demographic Bias: A Case Study on Facial Expression Recognition"

9 / 9 papers shown
Title
Identifying Key Challenges of Hardness-Based Resampling
Identifying Key Challenges of Hardness-Based Resampling
Pawel Pukowski
Venet Osmani
31
0
0
09 Apr 2025
Biased Heritage: How Datasets Shape Models in Facial Expression Recognition
Iris Dominguez-Catena
D. Paternain
M. Galar
Marybeth Defrance
Maarten Buyl
Tijl De Bie
61
0
0
05 Mar 2025
Less can be more: representational vs. stereotypical gender bias in
  facial expression recognition
Less can be more: representational vs. stereotypical gender bias in facial expression recognition
Iris Dominguez-Catena
D. Paternain
A. Jurio
M. Galar
21
4
0
25 Jun 2024
DSAP: Analyzing Bias Through Demographic Comparison of Datasets
DSAP: Analyzing Bias Through Demographic Comparison of Datasets
Iris Dominguez-Catena
D. Paternain
M. Galar
23
4
0
22 Dec 2023
Comparing Human and Machine Bias in Face Recognition
Comparing Human and Machine Bias in Face Recognition
Samuel Dooley
Ryan Downing
George Z. Wei
N. Shankar
Bradon Thymes
...
Olufemi Obiwumi
Valeriia Cherepanova
Micah Goldblum
John P. Dickerson
Tom Goldstein
CVBM
75
12
0
15 Oct 2021
A Survey on Bias in Visual Datasets
A Survey on Bias in Visual Datasets
Simone Fabbrizzi
Symeon Papadopoulos
Eirini Ntoutsi
Y. Kompatsiaris
119
121
0
16 Jul 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
294
4,187
0
23 Aug 2019
Deep Facial Expression Recognition: A Survey
Deep Facial Expression Recognition: A Survey
Shan Li
Weihong Deng
128
41
0
23 Apr 2018
A disciplined approach to neural network hyper-parameters: Part 1 --
  learning rate, batch size, momentum, and weight decay
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay
L. Smith
191
1,019
0
26 Mar 2018
1