Підписатись
Meike Zehlike
Meike Zehlike
Zalando Research
Підтверджена електронна адреса в zalando.de
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Посилання
Посилання
Рік
Fa* ir: A fair top-k ranking algorithm
M Zehlike, F Bonchi, C Castillo, S Hajian, M Megahed, R Baeza-Yates
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
6012017
Reducing disparate exposure in ranking: A learning to rank approach
M Zehlike, C Castillo
Proceedings of the web conference 2020, 2849-2855, 2020
2202020
Two-sided fairness for repeated matchings in two-sided markets: A case study of a ride-hailing platform
T Sühr, AJ Biega, M Zehlike, KP Gummadi, A Chakraborty
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
1732019
Fairness in ranking: A survey
M Zehlike, K Yang, J Stoyanovich
arXiv preprint arXiv:2103.14000, 2021
1232021
Fairness in ranking, part i: Score-based ranking
M Zehlike, K Yang, J Stoyanovich
ACM Computing Surveys 55 (6), 1-36, 2022
1182022
Fairness in ranking, part ii: Learning-to-rank and recommender systems
M Zehlike, K Yang, J Stoyanovich
ACM Computing Surveys 55 (6), 1-41, 2022
922022
Matching code and law: achieving algorithmic fairness with optimal transport
M Zehlike, P Hacker, E Wiedemann
Data Mining and Knowledge Discovery 34 (1), 163-200, 2020
742020
Fair ranking: a critical review, challenges, and future directions
GK Patro, L Porcaro, L Mitchell, Q Zhang, M Zehlike, N Garg
Proceedings of the 5th ACM Conference on Fairness, Accountability, and …, 2022
712022
Fair top-k ranking with multiple protected groups
M Zehlike, T Sühr, R Baeza-Yates, F Bonchi, C Castillo, S Hajian
Information processing & management 59 (1), 102707, 2022
682022
Fairsearch: A tool for fairness in ranked search results
M Zehlike, T Sühr, C Castillo, I Kitanovski
Companion proceedings of the web conference 2020, 172-175, 2020
352020
Fairness measures: datasets and software for detecting algorithmic discrimination
M Zehlike, C Castillo, F Bonchi, S Hajian, M Megahed
URL http://fairness-measures. org, 2017
17*2017
Beyond incompatibility: Trade-offs between mutually exclusive fairness criteria in machine learning and law
M Zehlike, A Loosley, H Jonsson, E Wiedemann, P Hacker
Artificial Intelligence, 2025
7*2025
Tutorials at the web conference 2023
V Fionda, O Hartig, R Abdolazimi, S Amer-Yahia, H Chen, X Chen, P Cui, ...
Companion Proceedings of the ACM Web Conference 2023, 648-658, 2023
72023
AI in Higher Education: Ethical Concerns for Students with Disabilities
O Pierrès, A Darvishy, M Christen, JM Alvarez, A Fabris, C Heitz, ...
CEUR Workshop Proceedings, 7-9, 2023
52023
Towards a Flexible Framework for Algorithmic Fairness
P Hacker, E Wiedemann, M Zehlike
arXiv preprint arXiv:2010.07848, 2020
42020
A note on the significance adjustment for FA* IR with two protected groups
M Zehlike, T Sühr, C Castillo
arXiv preprint arXiv:2012.12795, 2020
22020
Fairness in Ranking: From Values to Technical Choices and Back
J Stoyanovich, M Zehlike, K Yang
Companion of the 2023 International Conference on Management of Data, 7-12, 2023
12023
Body Measurement Prediction Fairness.
A Loosley, A Seifoddini, A Canopoli, M Zehlike
EWAF, 2023
2023
Fairness in Rankings
M Zehlike
Humboldt-Universität zu Berlin, 2022
2022
FS: A Tool For Fairness in Ranked Search Results
M Zehlike, T Sühr, C Castillo, I Kitanovski
2020
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