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Hilde J.P. Weerts
Hilde J.P. Weerts
Verified email at tue.nl - Homepage
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
1502020
A human-grounded evaluation of shap for alert processing
HJP Weerts, W van Ipenburg, M Pechenizkiy
arXiv preprint arXiv:1907.03324, 2019
732019
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
312023
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
162023
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
112019
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
92024
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
82022
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
72017
An introduction to algorithmic fairness
HJP Weerts
arXiv preprint arXiv:2105.05595, 2021
62021
Interpretable machine learning as decision support for processing fraud alerts
HJP Weerts
Master’s thesis, Eindhoven University of Technology, 2019
52019
Teaching responsible machine learning to engineers
HJP Weerts, M Pechenizkiy
Proceedings of the Second Teaching Machine Learning and Artificial …, 2022
42022
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
22021
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
12023
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
12022
Handreiking non-discriminatie by design.
B van der Sloot, E Keymolen, M Noorman, H Weerts, Y Wagensveld, ...
Rijksoverheid, 2021
12021
Unlawful Proxy Discrimination: A Framework for Challenging Inherently Discriminatory Algorithms
H Weerts, A Kelly-Lyth, R Binns, J Adams-Prassl
The 2024 ACM Conference on Fairness, Accountability, and Transparency, 1850-1860, 2024
2024
The Neutrality Fallacy: When Algorithmic Fairness Interventions are (Not) Positive Action
H Weerts, R Xenidis, F Tarissan, HP Olsen, M Pechenizkiy
The 2024 ACM Conference on Fairness, Accountability, and Transparency, 2060-2070, 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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Articles 1–19