Enhancing Fairness in Classification Tasks with Multiple Variables: A Data- and Model-Agnostic Approach - researchr publication authors

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Giordano d'Aloisio, Giovanni Stilo, Antinisca Di Marco, Andrea D'Angelo. Enhancing Fairness in Classification Tasks with Multiple Variables: A Data- and Model-Agnostic Approach. In Ludovico Boratto, Stefano Faralli 0001, Mirko Marras, Giovanni Stilo, editors, Advances in Bias and Fairness in Information Retrieval - Third International Workshop, BIAS 2022, Stavanger, Norway, April 10, 2022, Revised Selected Papers. Volume 1610 of Communications in Computer and Information Science, pages 117-129, Springer, 2022. [doi]

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