Reranking individuals : the effect of fair classification within-groups
Source
ACM journal on responsible computing - ISSN 2832-0565-3:2 (2026) p. 1-27
What data is really necessary? A feasibility study of inference data minimization for recommender systems
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34th Conference on Information and Knowledge Management-CIKM, NOV 10-14, 2025, South Korea- (2025) p. 1519-1529
From implicit to explicit assumptions : why there is no fairness without bias-awareness
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2025 European Workshop on Algorithmic Fairness-EWAF, JUN 30-JUL 02, 2025, Eindhoven, Netherlands-294 (2025) p. 335-338
Learning from bias: from fail to fair : how bias influences models and why understanding it can help us
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Antwerp, University of Antwerp, Faculty of Science, 2025,x, 121 p.
Cherry on the cake : fairness is NOT an optimization problem
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Machine learning - ISSN 0885-6125-114:7 (2025) p. 1-43