Hilde J.P. Weerts

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Mykola PechenizkiyEindhoven University of TechnologyVerified email at tue.nl
Joaquin VanschorenEindhoven University of TechnologyVerified email at tue.nl
Andreas Christian MuellerMicrosoftVerified email at microsoft.com
Michael A. MadaioGoogle ResearchVerified email at google.com
Miroslav DudikMicrosoft ResearchVerified email at microsoft.com
Roman LutzResponsible AI Engineer at MicrosoftVerified email at microsoft.com
RoyakkersVerified email at tue.nl
Bernd BischlChair of Statistical Learning and Data Science, LMU MunichVerified email at stat.uni-muenchen.de
Eddie BergmanResearch Engineer, University of FreiburgVerified email at tf.uni-freiburg.de
Katharina EggenspergerEarly Career Group Leader "AutoML for Science" | University of TübingenVerified email at uni-tuebingen.de
Noor AwadPostdoctoral Research Fellow, University of FreiburgVerified email at cs.uni-freiburg.de
Frank HutterProfessor of Computer Science, University of Freiburg, GermanyVerified email at cs.uni-freiburg.de
Florian PfistererLudwig Maximilian University of MunichVerified email at stat.uni-muenchen.de
Matthias FeurerLMU Munich & Munich Center for Machine LearningVerified email at stat.uni-muenchen.de
Wouter DuivesteijnTU EindhovenVerified email at tue.nl
B. van der SlootTilburg Institute for Law, Technology and SocietyVerified email at uva.nl
Daphne MiedemaPhD candidate at Eindhoven University op TechnologyVerified email at tue.nl
Martijn C. WillemsenEindhoven University of TechnologyVerified email at tue.nl
Jarke J. van WijkProfessor in Visualization, Eindhoven University of TechnologyVerified email at win.tue.nl
Dennis CollarisEindhoven University of TechnologyVerified email at tue.nl

Hilde J.P. Weerts

Eindhoven University of Technology

Verified email at tue.nl - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Importance of tuning hyperparameters of machine learning algorithms HJP Weerts, AC Mueller, J Vanschoren arXiv preprint arXiv:2007.07588, 2020	138	2020
A Human-Grounded Evaluation of SHAP for Alert Processing HJP Weerts, W van Ipenburg, M Pechenizkiy arXiv preprint arXiv:1907.03324, 2019	69	2019
Fairlearn: Assessing and Improving Fairness of AI Systems H Weerts, M Dudík, R Edgar, A Jalali, R Lutz, M Madaio Journal of Machine Learning Research 24 (257), 1-8, 2023	25	2023
Algorithmic Unfairness through the Lens of EU Non-Discrimination Law: Or Why the Law is not a Decision Tree H Weerts, R Xenidis, F Tarissan, HP Olsen, M Pechenizkiy Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023	13	2023
Case-Based Reasoning for Assisting Domain Experts in Processing Fraud Alerts of Black-Box Machine Learning Models HJP Weerts, W van Ipenburg, M Pechenizkiy arXiv preprint arXiv:1907.03334, 2019	11	2019
Does the End Justify the Means? On the Moral Justification of Fairness-Aware Machine Learning H Weerts, L Royakkers, M Pechenizkiy arXiv preprint arXiv:2202.08536, 2022	9	2022
Can fairness be automated? Guidelines and opportunities for fairness-aware automl H Weerts, F Pfisterer, M Feurer, K Eggensperger, E Bergman, N Awad, ... Journal of Artificial Intelligence Research 79, 639-677, 2024	8	2024
An Introduction to Algorithmic Fairness HJP Weerts arXiv preprint arXiv:2105.05595, 2021	6	2021
Have it both ways—from A/B testing to A&B testing with exceptional model mining W Duivesteijn, T Farzami, T Putman, E Peer, HJP Weerts, JN Adegeest, ... Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017	6	2017
Interpretable machine learning as decision support for processing fraud alerts HJP Weerts Master’s thesis, Eindhoven University of Technology, 2019	5	2019
Teaching Responsible Machine Learning to Engineers HJP Weerts, M Pechenizkiy Proceedings of the Second Teaching Machine Learning and Artificial …, 2022	3	2022
Fairness in AI Systems: From Social Context to Practice using Fairlearn T Gandhi, M Nandi, M Dudık, H Wallach, M Madaio, H Weerts, A Jalali, ... Tutorial presented at the 20th annual Scientific Computing with Python …, 2021	2	2021
Look and You Will Find It: Fairness-Aware Data Collection through Active Learning. H Weerts, R Theunissen, MC Willemsen IAL@ PKDD/ECML, 74-88, 2023	1	2023
Characterizing Data Scientists’ Mental Models of Local Feature Importance D Collaris, HJP Weerts, D Miedema, JJ van Wijk, M Pechenizkiy Nordic Human-Computer Interaction Conference, 1-12, 2022	1	2022
Handreiking non-discriminatie by design. B van der Sloot, E Keymolen, M Noorman, H Weerts, Y Wagensveld, ... Rijksoverheid, 2021	1	2021
Unlawful Proxy Discrimination: A Framework for Challenging Inherently Discriminatory Algorithms H Weerts, A Kelly-Lyth, R Binns, J Adams-Prassl arXiv preprint arXiv:2404.14050, 2024		2024
The Neutrality Fallacy: When Algorithmic Fairness Interventions are (Not) Positive Action H Weerts, R Xenidis, F Tarissan, HP Olsen, M Pechenizkiy arXiv preprint arXiv:2404.12143, 2024		2024
Improving Recommender System Diversity with Variational Autoencoders S Borar, H Weerts, B Gebre, M Pechenizkiy International Workshop on Algorithmic Bias in Search and Recommendation, 85-99, 2023		2023
Non-discriminatie by design B van der Sloot, E Keymolen, M Noorman, M Pechenizkiy, H Weerts, ... Tilburg University, 2021		2021

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