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,x, 121 p.
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
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
How to be fair? A study of label and selection bias
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Machine learning - ISSN 0885-6125-112 (2023) p. 5081-5104
RangeGrad : explaining neural networks by measuring uncertainty through bound propagation
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European Conference on Machine Learning and Principles and Practice of, Knowledge Discovery in Databases (ECML PKDD), SEP 19-23, 2022, Grenoble, FRANCE-1752 (2023) p. 336-352