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Employment (1)

Eindhoven University of Technology: N/A, NL

Employment
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Education and qualifications (1)

Eindhoven University of Technology: N/A, NL

Education
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Works (17)

Subgroup Harm Assessor: Identifying Potential Fairness-Related Harms and Predictive Bias

2024 | Book chapter
Contributors: Adam Dubowski; Hilde Weerts; Anouk Wolters; Mykola Pechenizkiy
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The Neutrality Fallacy

FAccT '24
2024-06-05 | Conference paper | Author
SOURCE-WORK-ID:

779b0921-3287-469e-a80b-e8ea8b28b78f

EID:

2-s2.0-85196627131

Part of ISBN: 979-8-4007-0450-5
Contributors: Hilde Weerts; Raphaële Xenidis; Fabien Tarissan; Henrik Palmer Olsen; Mykola Pechenizkiy
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Unlawful Proxy Discrimination

FAccT '24
2024-06-05 | Conference paper | Author
SOURCE-WORK-ID:

d0eb1480-6a54-4a59-bd5b-5f94094a7ecc

EID:

2-s2.0-85196628232

Part of ISBN: 979-8-4007-0450-5
Contributors: Hilde Weerts; Aislinn Kelly-Lyth; Reuben Binns; Jeremias Adams-Prassl
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Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML

Journal of Artificial Intelligence Research
2024-02-17 | Journal article
Contributors: Hilde Weerts; Florian Pfisterer; Matthias Feurer; Katharina Eggensperger; Edward Bergman; Noor Awad; Joaquin Vanschoren; Mykola Pechenizkiy; Bernd Bischl; Frank Hutter
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Fairlearn

Journal of Machine Learning Research
2023 | Journal article | Author
SOURCE-WORK-ID:

cc7a1d5e-dfa7-4f4a-a83a-b9662b3e8ca0

Contributors: Hilde Weerts; Miroslav Dudík; Richard Edgar; Adrin Jalali; Roman Lutz; Michael Madaio
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Pure TUe

Look and You Will Find It

Proceedings of the Workshop on Interactive Adaptive Learning
2023 | Conference paper | Author
SOURCE-WORK-ID:

0afb64a3-d49f-4969-9e5a-ec1647ac06b6

EID:

2-s2.0-85173591368

Contributors: Hilde Weerts; Renée Theunissen; Martijn Willemsen
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Improving Recommender System Diversity with Variational Autoencoders

Advances in Bias and Fairness in Information Retrieval
2023-07-15 | Conference paper | Author
SOURCE-WORK-ID:

61486903-5ebf-446a-aab2-f30c47838b03

EID:

2-s2.0-85169060478

Part of ISBN: 978-3-031-37249-0
Part of ISBN: 978-3-031-37248-3
Contributors: Sheetal Borar; Hilde Weerts; Binyam Gebre; Mykola Pechenizkiy
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Algorithmic Unfairness through the Lens of EU Non-Discrimination Law

2023-06-12 | Conference paper
Contributors: Hilde Weerts; Raphaële Xenidis; Fabien Tarissan; Henrik Palmer Olsen; Mykola Pechenizkiy
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Crossref

Can Fairness be Automated?

arXiv
2023-03-15 | Journal article | Author
SOURCE-WORK-ID:

d98525f8-a516-4f00-84e6-91dd19039611

Contributors: Hilde Weerts; Florian Pfisterer; Matthias Feurer; Katharina Eggensperger; Edward Bergman; Noor Awad; Joaquin Vanschoren; Mykola Pechenizkiy; Bernd Bischl; Frank Hutter
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Pure TUe

Does the end justify the means? On the moral justification of fairness-aware machine learning

arXiv
2022 | Other
EID:

2-s2.0-85125803306

Part of ISSN: 23318422
Contributors: Weerts, H.; Royakkers, L.; Pechenizkiy, M.
Source: Self-asserted source
Hilde Weerts via Scopus - Elsevier
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Characterizing Data Scientists’ Mental Models of Local Feature Importance

Nordic Human-Computer Interaction Conference
2022-10-08 | Conference paper
Contributors: Dennis Collaris; Hilde Weerts; Daphne Miedema; Jarke J. van Wijk; Mykola Pechenizkiy
Source: Self-asserted source
Hilde Weerts
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Teaching responsible machine learning to engineers

Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop
2022-03-14 | Conference paper | Author
SOURCE-WORK-ID:

16251a12-3ea1-4ea2-807e-91da169b14b3

EID:

2-s2.0-85171430882

EID:

2-s2.0-85171430882

Contributors: Hilde Weerts; Mykola Pechenizkiy
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An introduction to algorithmic fairness

arXiv
2021 | Other
EID:

2-s2.0-85107866505

Part of ISSN: 23318422
Contributors: Weerts, H.J.P.
Source: Self-asserted source
Hilde Weerts via Scopus - Elsevier

Importance of Tuning Hyperparameters of Machine Learning Algorithms

arXiv
2020 | Other
EID:

2-s2.0-85095285223

Part of ISSN: 23318422
Contributors: Weerts, H.J.P.; Müller, A.C.; Vanschoren, J.
Source: Self-asserted source
Hilde Weerts via Scopus - Elsevier

A human-grounded evaluation of SHAP for alert processing

arXiv
2019 | Other
EID:

2-s2.0-85094310176

Part of ISSN: 23318422
Contributors: Weerts, H.J.P.; Van Ipenburg, W.; Pechenizkiy, M.
Source: Self-asserted source
Hilde Weerts via Scopus - Elsevier

Case-based reasoning for assisting domain experts in processing fraud alerts of black-box machine learning models

arXiv
2019 | Other
EID:

2-s2.0-85094257170

Part of ISSN: 23318422
Contributors: Weerts, H.J.; Van Ipenburg, W.; Pechenizkiy, M.
Source: Self-asserted source
Hilde Weerts via Scopus - Elsevier

Have it both ways : from A/B testing to A&B testing with exceptional model mining

Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Proceedings
2017-12-30 | Conference paper | Author
SOURCE-WORK-ID:

1ec96bb2-2a51-48b4-ae53-c80544f160a0

EID:

2-s2.0-85040256149

WOSUID:

000443111100010

Part of ISBN: 978-3-319-71273-4
Part of ISBN: 978-3-319-71272-7
Contributors: Wouter Duivesteijn; Tara Farzami; Thijs Putman; Evertjan Peer; Hilde Weerts; Jasper N. Adegeest; Gerson Foks; Mykola Pechenizkiy
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Peer review (3 reviews for 1 publication/grant)

Review activity for Data mining and knowledge discovery. (3)