Yael Amsterdamer

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Tova MiloProfessor of Computer Science, Tel Aviv UniversityVerified email at cs.tau.ac.il
Daniel DeutchTel Aviv UniversityVerified email at post.tau.ac.il
Susan DavidsonUniversity of PennsylvaniaVerified email at cis.upenn.edu
Pierre SenellartProfessor of Computer Science, École normale supérieureVerified email at ens.fr
Val TannenUniversity of PennsylvaniaVerified email at seas.upenn.edu
Ori ShapiraOriginAIVerified email at originai.co
Ido DaganProfessor, Computer Science Department, Bar-Ilan UniversityVerified email at cs.biu.ac.il
Amit SomechSenior Lecturer, Bar-Ilan UniversityVerified email at cs.biu.ac.il
Antoine AmarilliI don't endorse Scholar, and just use it for recommendations and alerts. Please ignore this profile.Verified email at a3nm.net
Mohit BansalParker Distinguished Professor, Computer Science, UNC Chapel HillVerified email at cs.unc.edu
Slava NovgorodovResearch Scientist, FacebookVerified email at post.tau.ac.il
Julia StoyanovichNew York UniversityVerified email at nyu.edu
Serge AbiteboulINRIA SaclayVerified email at inria.fr
Judit Bar-IlanProfessor of Information Science, Bar-Ilan University, IsraelVerified email at biu.ac.il
Yang GaoGoogle ResearchVerified email at google.com
Kathy RazmadzeTel Aviv UniversityVerified email at mail.tau.ac.il
Brit YoungmannTechnion - Israel Institute of TechnologyVerified email at technion.ac.il
Yanir KleimanMeta AIVerified email at meta.com
Daniel Cohen-OrProfessor of Computer Science, Tel Aviv UniversityVerified email at tau.ac.il
Ani NenkovaPrincipal Scientist at Adobe ResearchVerified email at adobe.com

Yael Amsterdamer

Professor, the Department of Computer Science, Bar-Ilan University

Verified email at biu.ac.il - Homepage

Data Management Data Exploration Crowdsourcing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Provenance for aggregate queries Y Amsterdamer, D Deutch, V Tannen Proceedings of the thirtieth ACM SIGMOD-SIGACT-SIGART symposium on …, 2011	217	2011
Putting Lipstick on Pig: Enabling Database-style Workflow Provenance Y Amsterdamer, SB Davidson, D Deutch, T Milo, J Stoyanovich, V Tannen Proceedings of the VLDB Endowment 5 (4), 346-357, 2011	207	2011
Crowd mining Y Amsterdamer, Y Grossman, T Milo, P Senellart Proceedings of the 2013 ACM SIGMOD International Conference on Management of …, 2013	110	2013
Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation O Shapira, D Gabay, Y Gao, H Ronen, R Pasunuru, M Bansal, ... arXiv preprint arXiv:1904.05929, 2019	66	2019
On the limitations of provenance for queries with difference Y Amsterdamer, D Deutch, V Tannen 3rd USENIX Workshop on the Theory and Practice of Provenance (TaPP 11), 2011	54	2011
OASSIS: query driven crowd mining Y Amsterdamer, SB Davidson, T Milo, S Novgorodov, A Somech Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014	44	2014
On provenance minimization Y Amsterdamer, D Deutch, T Milo, V Tannen ACM Transactions on Database Systems (TODS) 37 (4), 1-36, 2012	43	2012
On provenance minimization Y Amsterdamer, D Deutch, T Milo, V Tannen The 2011 ACM SIGMOD/PODS Conference, 12, 2011	43	2011
CrowdMiner: Mining association rules from the crowd Y Amsterdamer, Y Grossman, T Milo, P Senellart Proceedings of the VLDB Endowment 6 (12), 1250-1253, 2013	33	2013
Interactive Abstractive Summarization for Event News Tweets O Shapira, H Ronen, M Adler, Y Amsterdamer, J Bar-Ilan, I Dagan Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017	32	2017
Extending Multi-Document Summarization Evaluation to the Interactive Setting O Shapira, R Pasunuru, H Ronen, M Bansal, Y Amsterdamer, I Dagan Proceedings of the 2021 Conference of the North American Chapter of the …, 2021	28	2021
A Natural Language Interface for Querying General and Individual Knowledge Y Amsterdamer, A Kukliansky, T Milo Proceedings of the VLDB Endowment 8 (12), 1430-1441, 2015	27	2015
On the Complexity of Mining Itemsets from the Crowd Using Taxonomies A Amarilli, Y Amsterdamer, T Milo ICDT, 15-25, 2014	27	2014
Foundations of Crowd Data Sourcing Y Amsterdamer, T Milo ACM SIGMOD Record 43 (4), 5-14, 2014	22	2014
Uncertainty in crowd data sourcing under structural constraints A Amarilli, Y Amsterdamer, T Milo International Conference on Database Systems for Advanced Applications, 351-359, 2014	20	2014
Managing General and Individual Knowledge in Crowd Mining Applications. Y Amsterdamer, SB Davidson, A Kukliansky, T Milo, S Novgorodov, ... CIDR, 2015	17	2015
NL2CM: A Natural Language Interface to Crowd Mining Y Amsterdamer, A Kukliansky, T Milo Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015	16	2015
Auto-completion learning for XML S Abiteboul, Y Amsterdamer, T Milo, P Senellart Proceedings of the 2012 ACM SIGMOD International Conference on Management of …, 2012	15	2012
Finding optimal probabilistic generators for XML collections S Abiteboul, Y Amsterdamer, D Deutch, T Milo, P Senellart Proceedings of the 15th International Conference on Database Theory, 127-139, 2012	15*	2012
Toward semantic image similarity from crowdsourced clustering Y Kleiman, G Goldberg, Y Amsterdamer, D Cohen-Or The Visual Computer 32 (6), 1045-1055, 2016	14	2016

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