Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations

7 December 2022

Papers citing "Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations"

4 / 4 papers shown

Title
A Framework for Data-Driven Explainability in Mathematical Optimization Kevin-Martin Aigner Marc Goerigk Michael Hartisch F. Liers Arthur Miehlich 6 2 0 16 Aug 2023
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 225 485 0 31 Dec 2020
Explainability in Graph Neural Networks: A Taxonomic Survey Hao Yuan Haiyang Yu Shurui Gui Shuiwang Ji 156 463 0 31 Dec 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 283 4,143 0 23 Aug 2019