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. 2304.05023
  4. Cited By
Learning Optimal Fair Scoring Systems for Multi-Class Classification

Learning Optimal Fair Scoring Systems for Multi-Class Classification

11 April 2023
Julien Rouzot
Julien Ferry
Marie-José Huguet
    FaML
ArXivPDFHTML

Papers citing "Learning Optimal Fair Scoring Systems for Multi-Class Classification"

10 / 10 papers shown
Title
Unveiling the Impact of Local Homophily on GNN Fairness: In-Depth
  Analysis and New Benchmarks
Unveiling the Impact of Local Homophily on GNN Fairness: In-Depth Analysis and New Benchmarks
Donald Loveland
Danai Koutra
33
1
0
05 Oct 2024
Fair Decentralized Learning
Fair Decentralized Learning
Sayan Biswas
Anne-Marie Kermarrec
Rishi Sharma
Thibaud Trinca
M. Vos
FedML
32
0
0
03 Oct 2024
Evaluating Model Bias Requires Characterizing its Mistakes
Evaluating Model Bias Requires Characterizing its Mistakes
Isabela Albuquerque
Jessica Schrouff
David Warde-Farley
Ali Taylan Cemgil
Sven Gowal
Olivia Wiles
42
2
0
15 Jul 2024
Learning Social Fairness Preferences from Non-Expert Stakeholder
  Opinions in Kidney Placement
Learning Social Fairness Preferences from Non-Expert Stakeholder Opinions in Kidney Placement
Mukund Telukunta
Sukruth Rao
Gabriella Stickney
Venkata Sriram Siddhardh Nadendla
Casey Canfield
14
1
0
04 Apr 2024
Fairness Risks for Group-conditionally Missing Demographics
Fairness Risks for Group-conditionally Missing Demographics
Kaiqi Jiang
Wenzhe Fan
Mao Li
Xinhua Zhang
76
0
0
20 Feb 2024
MISS: Multiclass Interpretable Scoring Systems
MISS: Multiclass Interpretable Scoring Systems
Michal K. Grzeszczyk
Tomasz Trzciñski
Arkadiusz Sitek
22
0
0
10 Jan 2024
Towards Inclusive Fairness Evaluation via Eliciting Disagreement
  Feedback from Non-Expert Stakeholders
Towards Inclusive Fairness Evaluation via Eliciting Disagreement Feedback from Non-Expert Stakeholders
Mukund Telukunta
Venkata Sriram Siddhardh Nadendla
14
0
0
07 Apr 2023
Fairness guarantee in multi-class classification
Fairness guarantee in multi-class classification
Christophe Denis
Romuald Elie
Mohamed Hebiri
Franccois Hu
FaML
28
47
0
28 Sep 2021
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
225
3,672
0
28 Feb 2017
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
2,082
0
24 Oct 2016
1