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Dive into the research topics where Hilde J.P. Weerts is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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In humble defense of unexplainable black box prediction models in healthcare
van Royen, F. S. (Corresponding author), Weerts, H. J. P., de Hond, A. A. H., Geersing, G. J., Rutten, F. H., Moons, K. G. M. & van Smeden, M., Jan 2026, In: Journal of Clinical Epidemiology. 189, 7 p., 112013.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile5 Downloads (Pure) -
Decoding Algorithmic Fairness: Towards Interdisciplinary Understanding of Fairness and Discrimination in Algorithmic Decision-Making
Weerts, H. J. P., 6 May 2025, Eindhoven: Eindhoven University of Technology. 214 p.Research output: Thesis › Phd Thesis 1 (Research TU/e / Graduation TU/e)
Open AccessFile1189 Downloads (Pure) -
Fourth European Workshop on Algorithmic Fairness (EWAF’25)
Weerts, H., Pechenizkiy, M., Allhutter, D., Corrêa, A. M., Grote, T. & Liem, C., 2025, 4th European Workshop on Algorithmic Fairness, EWAF 2025. Weerts, H., Pechenizkiy, M., Allhutter, D., Corrêa, A. M., Grote, T. & Liem, C. (eds.). PMLR, p. 1-9 9 p. (Proceedings of Machine Learning Research; vol. 294).Research output: Chapter in Book/Report/Conference proceeding › Foreword/editorial › Academic
Open AccessFile13 Downloads (Pure) -
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML
Weerts, H., Pfisterer, F., Feurer, M., Eggensperger, K., Bergman, E., Awad, N., Vanschoren, J., Pechenizkiy, M., Bischl, B. & Hutter, F., 2024, In: Journal of Artificial Intelligence Research. 79, p. 640-677 39 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile86 Downloads (Pure) -
Subgroup Harm Assessor: Identifying Potential Fairness-Related Harms and Predictive Bias
Dubowski, A., Weerts, H., Wolters, A. & Pechenizkiy, M., 22 Aug 2024, Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track: European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9–13, 2024, Proceedings, Part VIII. Bifet, A., Daniušis, P., Davis, J., Krilavičius, T., Kull, M., Ntoutsi, E., Puolamäki, K. & Žliobaitė, I. (eds.). Cham: Springer, p. 413-417 5 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14948 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile17 Downloads (Pure)
Courses
Press/Media
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Ghost stories about AI are in great demand – and that is not without risk
6/03/24
1 Media contribution
Press/Media: Expert Comment
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ChatGPT is een knap staaltje AI, maar betrouwbaar wordt het nooit
8/11/23
1 Media contribution
Press/Media: Public Engagement Activities
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“Data scientists don’t always ask questions persistently enough”
Collaris, D., Miedema, D. E. & Weerts, H. J. P.
8/11/22 → 9/11/22
2 Media contributions
Press/Media: Public Engagement Activities
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TILT seminar: Handbook non-discrimination by design: translating between the legal, the ethical and technical
8/07/21
1 item of Media coverage
Press/Media: Expert Comment
Thesis
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Interpretable machine learning as decision support for processing fraud alerts
Weerts, H. J. P. (Author), Pechenizkiy, M. (Supervisor 1) & van Ipenburg, W. (External coach), 24 Jun 2019Student thesis: Master
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