| Measuring fairness in ranked outputs K Yang, J Stoyanovich Proceedings of the 29th international conference on scientific and …, 2017 | 492 | 2017 |
| Datasynthesizer: Privacy-preserving synthetic datasets H Ping, J Stoyanovich, B Howe Proceedings of the 29th International Conference on Scientific and …, 2017 | 273 | 2017 |
| Designing fair ranking schemes A Asudeh, HV Jagadish, J Stoyanovich, G Das Proceedings of the 2019 international conference on management of data, 1259 …, 2019 | 238 | 2019 |
| Diversity in big data: A review M Drosou, HV Jagadish, E Pitoura, J Stoyanovich Big data 5 (2), 73-84, 2017 | 218 | 2017 |
| Putting lipstick on pig: Enabling database-style workflow provenance Y Amsterdamer, SB Davidson, D Deutch, T Milo, J Stoyanovich, V Tannen arXiv preprint arXiv:1201.0231, 2011 | 209 | 2011 |
| Fairness in ranking, part i: Score-based ranking M Zehlike, K Yang, J Stoyanovich ACM Computing Surveys 55 (6), 1-36, 2022 | 158 | 2022 |
| Efficient network aware search in collaborative tagging sites SA Yahia, M Benedikt, LVS Lakshmanan, J Stoyanovich Proceedings of the VLDB Endowment 1 (1), 710-721, 2008 | 156 | 2008 |
| Automatically and adaptively determining execution plans for queries with parameter markers W Fan, GM Lohman, VG Markl, N Megiddo, J Rao, DE Simmen, ... US Patent App. 11/673,091, 2008 | 150 | 2008 |
| It’s just not that simple: an empirical study of the accuracy-explainability trade-off in machine learning for public policy A Bell, I Solano-Kamaiko, O Nov, J Stoyanovich Proceedings of the 2022 ACM conference on fairness, accountability, and …, 2022 | 146 | 2022 |
| A nutritional label for rankings K Yang, J Stoyanovich, A Asudeh, B Howe, HV Jagadish, G Miklau Proceedings of the 2018 international conference on management of data, 1773 …, 2018 | 145 | 2018 |
| Responsible data management J Stoyanovich, B Howe, HV Jagadish Proceedings of the VLDB Endowment 13 (12), 2020 | 142 | 2020 |
| 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 | 128 | 2022 |
| Fairness in ranking: A survey M Zehlike, K Yang, J Stoyanovich arXiv preprint arXiv:2103.14000, 2021 | 127 | 2021 |
| Online set selection with fairness and diversity constraints J Stoyanovich, K Yang, HV Jagadish Proceedings of the EDBT Conference, 2018 | 114 | 2018 |
| On provenance and privacy SB Davidson, S Khanna, S Roy, J Stoyanovich, V Tannen, Y Chen Proceedings of the 14th International Conference on Database Theory, 3-10, 2011 | 110 | 2011 |
| Balanced ranking with diversity constraints K Yang, V Gkatzelis, J Stoyanovich arXiv preprint arXiv:1906.01747, 2019 | 93 | 2019 |
| Nutritional labels for data and models J Stoyanovich, B Howe A Quarterly bulletin of the Computer Society of the IEEE Technical Committee …, 2019 | 89 | 2019 |
| Causal intersectionality for fair ranking K Yang, JR Loftus, J Stoyanovich arXiv preprint arXiv:2006.08688, 2020 | 80 | 2020 |
| Transparency, fairness, data protection, neutrality: Data management challenges in the face of new regulation S Abiteboul, J Stoyanovich Journal of Data and Information Quality (JDIQ) 11 (3), 1-9, 2019 | 79 | 2019 |
| Research directions for principles of data management (abridged) S Abiteboul, M Arenas, P Barceló, M Bienvenu, D Calvanese, C David, ... Acm Sigmod Record 45 (4), 5-17, 2017 | 76* | 2017 |
H. V. JagadishUniversity of MichiganVerified email at umich.edu
