1 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.LG2025★ 1 cited
Mitigating Algorithmic Bias in Multiclass CNN Classifications Using Causal Modeling
Min Sik Byun, Wendy Wan Yee Hui, Wai Kwong Lau
This study describes a procedure for applying causal modeling to detect and mitigate algorithmic bias in a multiclass classification problem. The dataset was derived from the FairF…
cs.LG2023
Mitigating Nonlinear Algorithmic Bias in Binary Classification
Wendy Hui, Wai Kwong Lau
This paper proposes the use of causal modeling to detect and mitigate algorithmic bias that is nonlinear in the protected attribute. We provide a general overview of our approach.…
cs.LG2023★ 1 cited
Detecting and Mitigating Algorithmic Bias in Binary Classification using Causal Modeling
Wendy Hui, Wai Kwong Lau
This paper proposes the use of causal modeling to detect and mitigate algorithmic bias. We provide a brief description of causal modeling and a general overview of our approach. We…