ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2406.17405
  4. Cited By
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

25 June 2024
Iris Dominguez-Catena
D. Paternain
A. Jurio
M. Galar
ArXivPDFHTML

Papers citing "Less can be more: representational vs. stereotypical gender bias in facial expression recognition"

4 / 4 papers shown
Title
Beyond RMSE and MAE: Introducing EAUC to unmask hidden bias and unfairness in dyadic regression models
Beyond RMSE and MAE: Introducing EAUC to unmask hidden bias and unfairness in dyadic regression models
Jorge Paz-Ruza
Amparo Alonso-Betanzos
B. Guijarro-Berdiñas
Brais Cancela
Carlos Eiras-Franco
46
2
0
19 Jan 2024
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
4,203
0
23 Aug 2019
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