Hilde J. P. Weerts

24 papers A 1Misc 1Journal 12Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	—	`ed.`	European Workshop on Algorithmic Fairness, 30-2 July 2025, Eindhoven University of Technology, Eindhoven, The Netherlands. EWAF Hilde J. P. Weerts, Mykola Pechenizkiy, Doris Allhutter, Ana Maria Corrêa, Thomas Grote, Cynthia C. S. Liem
2025	—	`conf`	Fourth European Workshop on Algorithmic Fairness (EWAF'25). EWAF Hilde J. P. Weerts, Mykola Pechenizkiy, Doris Allhutter, Ana Maria Corrêa, Thomas Grote, Cynthia C. S. Liem
2025	A	`conf`	From Benchmarking to Understanding FairML. ECAI Mykola Pechenizkiy, Hilde J. P. Weerts, Cassio de Campos, Yuya Sasaki, Julia Stoyanovich
2024	J	`jnl`	Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML. J. Artif. Intell. Res. Hilde J. P. Weerts, Florian Pfisterer, Matthias Feurer, Katharina Eggensperger, Edward Bergman, Noor H. Awad, Joaquin Vanschoren, Mykola Pechenizkiy, Bernd Bischl, Frank Hutter
2024	—	`conf`	Subgroup Harm Assessor: Identifying Potential Fairness-Related Harms and Predictive Bias. ECML/PKDD (8) Adam Dubowski, Hilde J. P. Weerts, Anouk Wolters, Mykola Pechenizkiy
2024	—	`conf`	The Neutrality Fallacy: When Algorithmic Fairness Interventions are (Not) Positive Action. FAccT Hilde J. P. Weerts, Raphaële Xenidis, Fabien Tarissan, Henrik Palmer Olsen, Mykola Pechenizkiy
2024	J	`jnl`	The Neutrality Fallacy: When Algorithmic Fairness Interventions are (Not) Positive Action. CoRR Hilde J. P. Weerts, Raphaële Xenidis, Fabien Tarissan, Henrik Palmer Olsen, Mykola Pechenizkiy
2024	—	`conf`	Unlawful Proxy Discrimination: A Framework for Challenging Inherently Discriminatory Algorithms. FAccT Hilde J. P. Weerts, Aislinn Kelly-Lyth, Reuben Binns, Jeremias Adams-Prassl
2024	J	`jnl`	Unlawful Proxy Discrimination: A Framework for Challenging Inherently Discriminatory Algorithms. CoRR Hilde J. P. Weerts, Aislinn Kelly-Lyth, Reuben Binns, Jeremias Adams-Prassl
2023	—	`conf`	Algorithmic Unfairness Through the Lens of EU Non-Discrimination Law. EWAF Hilde J. P. Weerts, Raphaële Xenidis, Fabien Tarissan, Henrik Palmer Olsen, Mykola Pechenizkiy
2023	—	`conf`	Algorithmic Unfairness through the Lens of EU Non-Discrimination Law: Or Why the Law is not a Decision Tree. FAccT Hilde J. P. Weerts, Raphaële Xenidis, Fabien Tarissan, Henrik Palmer Olsen, Mykola Pechenizkiy
2023	J	`jnl`	Algorithmic Unfairness through the Lens of EU Non-Discrimination Law: Or Why the Law is not a Decision Tree. CoRR Hilde J. P. Weerts, Raphaële Xenidis, Fabien Tarissan, Henrik Palmer Olsen, Mykola Pechenizkiy
2023	J	`jnl`	Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML. CoRR Hilde J. P. Weerts, Florian Pfisterer, Matthias Feurer, Katharina Eggensperger, Edward Bergman, Noor H. Awad, Joaquin Vanschoren, Mykola Pechenizkiy, Bernd Bischl, Frank Hutter
2023	J	`jnl`	Fairlearn: Assessing and Improving Fairness of AI Systems. CoRR Hilde J. P. Weerts, Miroslav Dudík, Richard Edgar, Adrin Jalali, Roman Lutz, Michael Madaio
2023	J	`jnl`	Fairlearn: Assessing and Improving Fairness of AI Systems. J. Mach. Learn. Res. Hilde J. P. Weerts, Miroslav Dudík, Richard Edgar, Adrin Jalali, Roman Lutz, Michael Madaio
2023	—	`conf`	Improving Recommender System Diversity with Variational Autoencoders. BIAS Sheetal Borar, Hilde J. P. Weerts, Binyam Gebre, Mykola Pechenizkiy
2023	—	`conf`	Look and You Will Find It: Fairness-Aware Data Collection through Active Learning. IAL@PKDD/ECML Hilde J. P. Weerts, Renée Theunissen, Martijn C. Willemsen
2022	Misc	`conf`	Characterizing Data Scientists' Mental Models of Local Feature Importance. NordiCHI Dennis Collaris, Hilde J. P. Weerts, Daphne Miedema, Jarke J. van Wijk, Mykola Pechenizkiy
2022	J	`jnl`	Does the End Justify the Means? On the Moral Justification of Fairness-Aware Machine Learning. CoRR Hilde J. P. Weerts, Lambèr Royakkers, Mykola Pechenizkiy
2021	J	`jnl`	An Introduction to Algorithmic Fairness. CoRR Hilde J. P. Weerts
2020	J	`jnl`	Importance of Tuning Hyperparameters of Machine Learning Algorithms. CoRR Hilde J. P. Weerts, Andreas C. Müller, Joaquin Vanschoren
2019	J	`jnl`	A Human-Grounded Evaluation of SHAP for Alert Processing. CoRR Hilde J. P. Weerts, Werner van Ipenburg, Mykola Pechenizkiy
2019	J	`jnl`	Case-Based Reasoning for Assisting Domain Experts in Processing Fraud Alerts of Black-Box Machine Learning Models. CoRR Hilde J. P. Weerts, Werner van Ipenburg, Mykola Pechenizkiy
2017	—	`conf`	Have It Both Ways - From A/B Testing to A&B Testing with Exceptional Model Mining. ECML/PKDD (3) Wouter Duivesteijn, Tara Farzami, Thijs Putman, Evertjan Peer, Hilde J. P. Weerts, Jasper N. Adegeest, Gerson Foks, Mykola Pechenizkiy