Theo dõi
Julia Stoyanovich
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Measuring fairness in ranked outputs
K Yang, J Stoyanovich
Proceedings of the 29th international conference on scientific and …, 2017
4402017
Datasynthesizer: Privacy-preserving synthetic datasets
H Ping, J Stoyanovich, B Howe
Proceedings of the 29th International Conference on Scientific and …, 2017
2282017
Designing fair ranking schemes
A Asudeh, HV Jagadish, J Stoyanovich, G Das
Proceedings of the 2019 international conference on management of data, 1259 …, 2019
2152019
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
2072011
Diversity in big data: A review
M Drosou, HV Jagadish, E Pitoura, J Stoyanovich
Big data 5 (2), 73-84, 2017
1892017
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
1542008
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
1472008
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
1372018
Responsible data management
J Stoyanovich, B Howe, HV Jagadish
Proceedings of the VLDB Endowment 13 (12), 2020
1252020
Fairness in ranking, part i: Score-based ranking
M Zehlike, K Yang, J Stoyanovich
ACM Computing Surveys 55 (6), 1-36, 2022
1202022
Fairness in ranking: A survey
M Zehlike, K Yang, J Stoyanovich
arXiv preprint arXiv:2103.14000, 2021
1122021
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
1112011
Online set selection with fairness and diversity constraints
J Stoyanovich, K Yang, HV Jagadish
Proceedings of the EDBT Conference, 2018
1052018
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
1012022
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
932022
Balanced ranking with diversity constraints
K Yang, V Gkatzelis, J Stoyanovich
arXiv preprint arXiv:1906.01747, 2019
832019
Nutritional labels for data and models
J Stoyanovich, B Howe
A Quarterly bulletin of the Computer Society of the IEEE Technical Committee …, 2019
742019
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
73*2017
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 7,958,113, 2011
732011
Causal intersectionality for fair ranking
K Yang, JR Loftus, J Stoyanovich
arXiv preprint arXiv:2006.08688, 2020
722020
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Bài viết 1–20