Data vs. Model Machine Learning Fairness Testing: An Empirical Study

15 January 2024

Papers citing "Data vs. Model Machine Learning Fairness Testing: An Empirical Study"

4 / 4 papers shown

Title
A Review of Fairness and A Practical Guide to Selecting Context-Appropriate Fairness Metrics in Machine Learning Caleb J. S. Barr Olivia Erdelyi Paul D. Docherty Randolph C. Grace FaML 63 0 0 10 Nov 2024
Innovating for Tomorrow: The Convergence of SE and Green AI Luís Cruz Xavier Franch Gutierrez Silverio Martínez-Fernández 20 4 0 26 Jun 2024
An Empirical Study of Modular Bias Mitigators and Ensembles Michael Feffer Martin Hirzel Samuel C. Hoffman Kiran Kate Parikshit Ram Avraham Shinnar 36 8 0 01 Feb 2022
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 288 4,143 0 23 Aug 2019