Meike Zehlike

24 papers A* 2A 1Journal 13Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Beyond incompatibility: Trade-offs between mutually exclusive fairness criteria in machine learning and law.
Artif. Intell.
Meike Zehlike, Alex Loosley, Håkan Jonsson, Emil Wiedemann, Philipp Hacker
2023 — conf
Body Measurement Prediction Fairness.
EWAF
Alex Loosley, Amrollah Seifoddini, Alessandro Canopoli, Meike Zehlike
2023 J jnl
Fairness in Ranking, Part I: Score-Based Ranking.
ACM Comput. Surv.
Meike Zehlike, Ke Yang, Julia Stoyanovich
2023 J jnl
Fairness in Ranking, Part II: Learning-to-Rank and Recommender Systems.
ACM Comput. Surv.
Meike Zehlike, Ke Yang, Julia Stoyanovich
2023 — conf
Fairness in Ranking: From Values to Technical Choices and Back.
SIGMOD Conference Companion
Julia Stoyanovich, Meike Zehlike, Ke Yang
2023 — ed.
Proceedings of the 2nd European Workshop on Algorithmic Fairness, Winterthur, Switzerland, June 7th to 9th, 2023.
EWAF
José M. Álvarez, Alessandro Fabris, Christoph Heitz, Corinna Hertweck, Michele Loi, Meike Zehlike
2023 — conf
Tutorials at The Web Conference 2023.
WWW (Companion Volume)
Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne R. Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu
2022 J jnl
Beyond Incompatibility: Trade-offs between Mutually Exclusive Fairness Criteria in Machine Learning and Law.
CoRR
Meike Zehlike, Alex Loosley, Håkan Jonsson, Emil Wiedemann, Philipp Hacker
2022 J jnl
Fair Top-
Inf. Process. Manag.
Meike Zehlike, Tom Sühr, Ricardo Baeza-Yates, Francesco Bonchi, Carlos Castillo, Sara Hajian
2022 — conf
Fair ranking: a critical review, challenges, and future directions.
FAccT
Gourab K. Patro, Lorenzo Porcaro, Laura Mitchell, Qiuyue Zhang, Meike Zehlike, Nikhil Garg
2022 J jnl
Fair ranking: a critical review, challenges, and future directions.
CoRR
Gourab K. Patro, Lorenzo Porcaro, Laura Mitchell, Qiuyue Zhang, Meike Zehlike, Nikhil Garg
2022 — —
Fairness in Rankings.
Meike Zehlike
2022 — ch.
Fairness in Rankings.
Ausgezeichnete Informatikdissertationen
Meike Zehlike
2021 J jnl
Fairness in Ranking: A Survey.
CoRR
Meike Zehlike, Ke Yang, Julia Stoyanovich
2020 J jnl
A Note on the Significance Adjustment for FA*IR with Two Protected Groups.
CoRR
Meike Zehlike, Tom Sühr, Carlos Castillo
2020 — conf
FairSearch: A Tool For Fairness in Ranked Search Results.
WWW (Companion Volume)
Meike Zehlike, Tom Sühr, Carlos Castillo, Ivan Kitanovski
2020 J jnl
Matching code and law: achieving algorithmic fairness with optimal transport.
Data Min. Knowl. Discov.
Meike Zehlike, Philipp Hacker, Emil Wiedemann
2020 A* conf
Reducing Disparate Exposure in Ranking: A Learning To Rank Approach.
WWW
Meike Zehlike, Carlos Castillo
2020 J jnl
Towards a Flexible Framework for Algorithmic Fairness.
CoRR
Philipp Hacker, Emil Wiedemann, Meike Zehlike
2019 J jnl
FairSearch: A Tool For Fairness in Ranked Search Results.
CoRR
Meike Zehlike, Tom Sühr, Carlos Castillo, Ivan Kitanovski
2019 A* conf
Two-Sided Fairness for Repeated Matchings in Two-Sided Markets: A Case Study of a Ride-Hailing Platform.
KDD
Tom Sühr, Asia J. Biega, Meike Zehlike, Krishna P. Gummadi, Abhijnan Chakraborty
2018 J jnl
Reducing Disparate Exposure in Ranking: A Learning To Rank Approach.
CoRR
Meike Zehlike, Carlos Castillo
2017 A conf
FA*IR: A Fair Top-k Ranking Algorithm.
CIKM
Meike Zehlike, Francesco Bonchi, Carlos Castillo, Sara Hajian, Mohamed Megahed, Ricardo Baeza-Yates
2017 J jnl
FA*IR: A Fair Top-k Ranking Algorithm.
CoRR
Meike Zehlike, Francesco Bonchi, Carlos Castillo, Sara Hajian, Mohamed Megahed, Ricardo Baeza-Yates