"Patriarchy hurts men too." Does your model agree? A discussion on fairness assumptions

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2024 European Conference on Machine Learning and Principles and Practice, of Knowledge Discovery in Databases-ECML PKDD-Annual, SEP 09-13, 2024, Vilnius, Lithuania-2558 (2026) p. 3-18

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.