| Importance of tuning hyperparameters of machine learning algorithms HJP Weerts, AC Mueller, J Vanschoren arXiv preprint arXiv:2007.07588, 2020 | 188 | 2020 |
| A human-grounded evaluation of shap for alert processing HJP Weerts, W van Ipenburg, M Pechenizkiy arXiv preprint arXiv:1907.03324, 2019 | 85 | 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 | 73 | 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 | 24 | 2023 |
| 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 | 19 | 2024 |
| Are There Exceptions to Goodhart's Law? On the Moral Justification of Fairness-Aware Machine Learning H Weerts, L Royakkers, M Pechenizkiy arXiv preprint arXiv:2202.08536, 2022 | 11* | 2022 |
| 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 |
| An introduction to algorithmic fairness HJP Weerts arXiv preprint arXiv:2105.05595, 2021 | 8 | 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 | 7 | 2017 |
| Interpretable machine learning as decision support for processing fraud alerts HJP Weerts Master’s thesis, Eindhoven University of Technology, 2019 | 6 | 2019 |
| Teaching responsible machine learning to engineers HJP Weerts, M Pechenizkiy The Second Teaching Machine Learning and Artificial Intelligence Workshop, 40-45, 2022 | 5 | 2022 |
| 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 | 3 | 2024 |
| 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 | 2 | 2024 |
| Look and You Will Find It: Fairness-Aware Data Collection through Active Learning. HJP Weerts, R Theunissen, MC Willemsen IAL@ PKDD/ECML, 74-88, 2023 | 2 | 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 | 2 | 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 |
| Handreiking non-discriminatie by design. B van der Sloot, E Keymolen, M Noorman, H Weerts, Y Wagensveld, ... Rijksoverheid, 2021 | 1 | 2021 |
| Subgroup Harm Assessor: Identifying Potential Fairness-Related Harms and Predictive Bias A Dubowski, H Weerts, A Wolters, M Pechenizkiy Joint European Conference on Machine Learning and Knowledge Discovery in …, 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 |
Mykola PechenizkiyEindhoven University of TechnologyVerified email at tue.nl
