Julia Stoyanovich

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H. V. JagadishUniversity of MichiganEmail yang diverifikasi di umich.edu
Bill HoweUniversity of WashingtonEmail yang diverifikasi di uw.edu
Serge AbiteboulINRIA SaclayEmail yang diverifikasi di inria.fr
Ke YangAssistant Professor, University of Texas at San AntonioEmail yang diverifikasi di utsa.edu
Gerome MiklauProfessor of Computer Science, University of Massachusetts, AmherstEmail yang diverifikasi di cs.umass.edu
Susan DavidsonUniversity of PennsylvaniaEmail yang diverifikasi di cis.upenn.edu
Tova MiloProfessor of Computer Science, Tel Aviv UniversityEmail yang diverifikasi di cs.tau.ac.il
Sebastian SchelterProfessor at BIFOLD & TU BerlinEmail yang diverifikasi di tu-berlin.de
Benny KimelfeldTechnion - Israel Institute of TechnologyEmail yang diverifikasi di cs.technion.ac.il
Sihem Amer-YahiaResearch Director, CNRS, LIG, FranceEmail yang diverifikasi di univ-grenoble-alpes.fr
Abolfazl AsudehAssistant Professor of Computer Science, University of Illinois ChicagoEmail yang diverifikasi di uic.edu
Falaah Arif KhanNew York UniversityEmail yang diverifikasi di nyu.edu
Val TannenUniversity of PennsylvaniaEmail yang diverifikasi di seas.upenn.edu
Meike ZehlikeZalando ResearchEmail yang diverifikasi di zalando.de
Joshua LoftusLondon School of EconomicsEmail yang diverifikasi di lse.ac.uk
Gerhard WeikumProfessor of Computer Science, Max Planck Institute for Informatics, Saarland Informatics CampusEmail yang diverifikasi di mpi-inf.mpg.de
Oded NovProfessor, New York UniversityEmail yang diverifikasi di nyu.edu
Volker MarklTechnische Universität BerlinEmail yang diverifikasi di tu-berlin.de
Guy LohmanManager of Disruptive Information Management Architectures, IBM Almaden Research CenterEmail yang diverifikasi di us.ibm.com
Kenneth RossColumbia UniversityEmail yang diverifikasi di cs.columbia.edu

Ikuti

Julia Stoyanovich

New York University

Email yang diverifikasi di nyu.edu - Beranda

responsible AI data management algorithmic ranking AI ethics AI policy


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Measuring fairness in ranked outputs K Yang, J Stoyanovich Proceedings of the 29th international conference on scientific and …, 2017	440	2017
Datasynthesizer: Privacy-preserving synthetic datasets H Ping, J Stoyanovich, B Howe Proceedings of the 29th International Conference on Scientific and …, 2017	228	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	215	2019
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	207	2011
Diversity in big data: A review M Drosou, HV Jagadish, E Pitoura, J Stoyanovich Big data 5 (2), 73-84, 2017	189	2017
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	154	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	147	2008
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	137	2018
Responsible data management J Stoyanovich, B Howe, HV Jagadish Proceedings of the VLDB Endowment 13 (12), 2020	125	2020
Fairness in ranking, part i: Score-based ranking M Zehlike, K Yang, J Stoyanovich ACM Computing Surveys 55 (6), 1-36, 2022	120	2022
Fairness in ranking: A survey M Zehlike, K Yang, J Stoyanovich arXiv preprint arXiv:2103.14000, 2021	112	2021
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	111	2011
Online set selection with fairness and diversity constraints J Stoyanovich, K Yang, HV Jagadish Proceedings of the EDBT Conference, 2018	105	2018
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	101	2022
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	93	2022
Balanced ranking with diversity constraints K Yang, V Gkatzelis, J Stoyanovich arXiv preprint arXiv:1906.01747, 2019	83	2019
Nutritional labels for data and models J Stoyanovich, B Howe A Quarterly bulletin of the Computer Society of the IEEE Technical Committee …, 2019	74	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	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	73	2011
Causal intersectionality for fair ranking K Yang, JR Loftus, J Stoyanovich arXiv preprint arXiv:2006.08688, 2020	72	2020

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