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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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Algorithmic Unfairness through the Lens of EU Non-Discrimination Law: Or Why the Law is not a Decision Tree
Weerts, H., Xenidis, R., Tarissan, F., Olsen, H. P. & Pechenizkiy, M., 12 Jun 2023, Proceedings of the 6th ACM Conference on Fairness, Accountability, and Transparency, FAccT 2023. Association for Computing Machinery, Inc, p. 805-816 12 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open Access1 Citation (Scopus) -
Algorithmic Unfairness Through the Lens of EU Non-Discrimination Law Or Why the Law is Not a Decision Tree
Weerts, H., Xenidis, R., Tarissan, F., Olsen, H. P. & Pechenizkiy, M., 2023, European Workshop on Algorithmic Fairness, EWAF 2023: Proceedings of the 2nd European Workshop on Algorithmic Fairness Winterthur, Switzerland, June 7th to 9th, 2023. Alvarez, J. M. (ed.). CEUR-WS.org, (CEUR Workshop Proceedings; vol. 3442).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open Access -
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., 15 Mar 2023, In: arXiv. p. 1-37 2303.08485v1.Research output: Contribution to journal › Article › Academic
Open AccessFile53 Downloads (Pure) -
Fairlearn: Assessing and Improving Fairness of AI Systems
Weerts, H., Dudík, M., Edgar, R., Jalali, A., Lutz, R. & Madaio, M., 29 Mar 2023, In: arXiv. 2303.16626v1.Research output: Contribution to journal › Article › Academic
Open AccessFile13 Downloads (Pure) -
Improving Recommender System Diversity with Variational Autoencoders
Borar, S., Weerts, H., Gebre, B. & Pechenizkiy, M., 2023, Advances in Bias and Fairness in Information Retrieval - 4th International Workshop, BIAS 2023, Revised Selected Papers. Boratto, L., Marras, M., Faralli, S. & Stilo, G. (eds.). Springer, p. 85-99 15 p. (Communications in Computer and Information Science; vol. 1840 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Courses
Thesis
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Interpretable machine learning as decision support for processing fraud alerts
Author: Weerts, H. J. P., 24 Jun 2019Supervisor: Pechenizkiy, M. (Supervisor 1) & van Ipenburg, W. (External person) (External coach)
Student thesis: Master
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