Hilde J. P. Weerts

According to our database, Hilde J. P. Weerts authored at least 14 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML.

Hilde J. P. Weerts, Florian Pfisterer, Matthias Feurer, Katharina Eggensperger, Edward Bergman, Noor H. Awad, Joaquin Vanschoren, Mykola Pechenizkiy, Bernd Bischl, Frank Hutter

J. Artif. Intell. Res., 2024

2023

Fairlearn: Assessing and Improving Fairness of AI Systems.

Hilde J. P. Weerts, Miroslav Dudík, Richard Edgar, Adrin Jalali, Roman Lutz, Michael Madaio

J. Mach. Learn. Res., 2023

Look and You Will Find It: Fairness-Aware Data Collection through Active Learning.

Hilde J. P. Weerts, Renée Theunissen, Martijn C. Willemsen

Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2023), 2023

Algorithmic Unfairness through the Lens of EU Non-Discrimination Law: Or Why the Law is not a Decision Tree.

Hilde J. P. Weerts, Raphaële Xenidis, Fabien Tarissan, Henrik Palmer Olsen, Mykola Pechenizkiy

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Algorithmic Unfairness Through the Lens of EU Non-Discrimination Law.

Hilde J. P. Weerts, Raphaële Xenidis, Fabien Tarissan, Henrik Palmer Olsen, Mykola Pechenizkiy

Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023

Improving Recommender System Diversity with Variational Autoencoders.

Sheetal Borar, Hilde J. P. Weerts, Binyam Gebre, Mykola Pechenizkiy

Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2023

2022

Does the End Justify the Means? On the Moral Justification of Fairness-Aware Machine Learning.

Hilde J. P. Weerts, Lambèr Royakkers, Mykola Pechenizkiy

CoRR, 2022

Characterizing Data Scientists' Mental Models of Local Feature Importance.

Dennis Collaris, Hilde J. P. Weerts, Daphne Miedema, Jarke J. van Wijk, Mykola Pechenizkiy

Proceedings of the NordiCHI '22: Nordic Human-Computer Interaction Conference, Aarhus, Denmark, October 8, 2022

2021

An Introduction to Algorithmic Fairness.

Hilde J. P. Weerts

CoRR, 2021

Teaching Responsible Machine Learning to Engineers.

Hilde Jacoba Petronella Weerts, Mykola Pechenizkiy

Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop, 2021

2020

Importance of Tuning Hyperparameters of Machine Learning Algorithms.

Hilde J. P. Weerts, Andreas C. Mueller, Joaquin Vanschoren

CoRR, 2020

2019

Case-Based Reasoning for Assisting Domain Experts in Processing Fraud Alerts of Black-Box Machine Learning Models.

Hilde J. P. Weerts, Werner van Ipenburg, Mykola Pechenizkiy

CoRR, 2019

A Human-Grounded Evaluation of SHAP for Alert Processing.

Hilde J. P. Weerts, Werner van Ipenburg, Mykola Pechenizkiy

CoRR, 2019

2017

Have It Both Ways - From A/B Testing to A&B Testing with Exceptional Model Mining.

Wouter Duivesteijn, Tara Farzami, Thijs Putman, Evertjan Peer, Hilde J. P. Weerts, Jasper N. Adegeest, Gerson Foks, Mykola Pechenizkiy

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017