Enhancing Fairness in Classification Tasks with Multiple Variables: A Data- and Model-Agnostic Approach
Type
Publication
Advances in Bias and Fairness in Information Retrieval - Third International Workshop, BIAS 2022, Stavanger, Norway, April 10, 2022, Revised Selected Papers
Antinisca Di Marco
Associate Professor
My research interests are Software and Performance Engineering, Data Science, and Quality of Machine Learning.