Hilde J. P. Weerts

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 20

Top Topics

Top Venues

J. Mach. Learn. Res.

Publications

Hilde J. P. Weerts, Raphaële Xenidis, Fabien Tarissan, Henrik Palmer Olsen, Mykola Pechenizkiy
The Neutrality Fallacy: When Algorithmic Fairness Interventions are (Not) Positive Action. FAccT (2024)
Hilde J. P. Weerts, Aislinn Kelly-Lyth, Reuben Binns, Jeremias Adams-Prassl
Unlawful Proxy Discrimination: A Framework for Challenging Inherently Discriminatory Algorithms. FAccT (2024)
Hilde J. P. Weerts, Aislinn Kelly-Lyth, Reuben Binns, Jeremias Adams-Prassl
Unlawful Proxy Discrimination: A Framework for Challenging Inherently Discriminatory Algorithms. CoRR (2024)
Hilde J. P. Weerts, Raphaële Xenidis, Fabien Tarissan, Henrik Palmer Olsen, Mykola Pechenizkiy
The Neutrality Fallacy: When Algorithmic Fairness Interventions are (Not) Positive Action. CoRR (2024)
Hilde J. P. Weerts, Florian Pfisterer, Matthias Feurer, Katharina Eggensperger, Edward Bergman, Noor H. Awad, Joaquin Vanschoren, Mykola Pechenizkiy, Bernd Bischl, Frank Hutter
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML. J. Artif. Intell. Res. 79 (2024)
Hilde J. P. Weerts, Florian Pfisterer, Matthias Feurer, Katharina Eggensperger, Edward Bergman, Noor H. Awad, Joaquin Vanschoren, Mykola Pechenizkiy, Bernd Bischl, Frank Hutter
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML. CoRR (2023)
Hilde J. P. Weerts, Raphaële Xenidis, Fabien Tarissan, Henrik Palmer Olsen, Mykola Pechenizkiy
Algorithmic Unfairness through the Lens of EU Non-Discrimination Law: Or Why the Law is not a Decision Tree. FAccT (2023)
Hilde J. P. Weerts, Raphaël Xenidis, Fabien Tarissan, Henrik Palmer Olsen, Mykola Pechenizkiy
Algorithmic Unfairness through the Lens of EU Non-Discrimination Law: Or Why the Law is not a Decision Tree. CoRR (2023)
Hilde J. P. Weerts, Raphaële Xenidis, Fabien Tarissan, Henrik Palmer Olsen, Mykola Pechenizkiy
Algorithmic Unfairness Through the Lens of EU Non-Discrimination Law. EWAF (2023)
Hilde J. P. Weerts, Renée Theunissen, Martijn C. Willemsen
Look and You Will Find It: Fairness-Aware Data Collection through Active Learning. IAL@PKDD/ECML (2023)
Hilde J. P. Weerts, Miroslav Dudík, Richard Edgar, Adrin Jalali, Roman Lutz, Michael Madaio
Fairlearn: Assessing and Improving Fairness of AI Systems. CoRR (2023)
Hilde J. P. Weerts, Miroslav Dudík, Richard Edgar, Adrin Jalali, Roman Lutz, Michael Madaio
Fairlearn: Assessing and Improving Fairness of AI Systems. J. Mach. Learn. Res. 24 (2023)
Sheetal Borar, Hilde J. P. Weerts, Binyam Gebre, Mykola Pechenizkiy
Improving Recommender System Diversity with Variational Autoencoders. BIAS (2023)
Hilde J. P. Weerts, Lambèr Royakkers, Mykola Pechenizkiy
Does the End Justify the Means? On the Moral Justification of Fairness-Aware Machine Learning. CoRR (2022)
Dennis Collaris, Hilde J. P. Weerts, Daphne Miedema, Jarke J. van Wijk, Mykola Pechenizkiy
Characterizing Data Scientists' Mental Models of Local Feature Importance. NordiCHI (2022)
Hilde J. P. Weerts
An Introduction to Algorithmic Fairness. CoRR (2021)
Hilde J. P. Weerts, Andreas C. Mueller, Joaquin Vanschoren
Importance of Tuning Hyperparameters of Machine Learning Algorithms. CoRR (2020)
Hilde J. P. Weerts, Werner van Ipenburg, Mykola Pechenizkiy
Case-Based Reasoning for Assisting Domain Experts in Processing Fraud Alerts of Black-Box Machine Learning Models. CoRR (2019)
Hilde J. P. Weerts, Werner van Ipenburg, Mykola Pechenizkiy
A Human-Grounded Evaluation of SHAP for Alert Processing. CoRR (2019)
Wouter Duivesteijn, Tara Farzami, Thijs Putman, Evertjan Peer, Hilde J. P. Weerts, Jasper N. Adegeest, Gerson Foks, Mykola Pechenizkiy
Have It Both Ways - From A/B Testing to A&B Testing with Exceptional Model Mining. ECML/PKDD (3) (2017)