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Hilde J.P. Weerts
Hilde J.P. Weerts
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Titlu
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Importance of tuning hyperparameters of machine learning algorithms
HJP Weerts, AC Mueller, J Vanschoren
arXiv preprint arXiv:2007.07588, 2020
1382020
A Human-Grounded Evaluation of SHAP for Alert Processing
HJP Weerts, W van Ipenburg, M Pechenizkiy
arXiv preprint arXiv:1907.03324, 2019
682019
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
242023
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
132023
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
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
92022
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
82024
An Introduction to Algorithmic Fairness
HJP Weerts
arXiv preprint arXiv:2105.05595, 2021
62021
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
62017
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
32022
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
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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