Neoklis Polyzotis

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Aditya ParameswaranAssociate Professor, UC BerkeleyEmail confirmado em berkeley.edu
Steven Euijong WhangAssociate Professor with Tenure at KAIST EE and AIEmail confirmado em kaist.ac.kr
sudip royCohereEmail confirmado em cs.cornell.edu
hector garcia-molinaProfessor of Computer Science, Stanford UniversityEmail confirmado em cs.stanford.edu
Minos GarofalakisDirector, IMSI, Athena RC; Professor, School of ECE, TU CreteEmail confirmado em softnet.tuc.gr
Tim KraskaMITEmail confirmado em mit.edu
Serge AbiteboulINRIA SaclayEmail confirmado em inria.fr
Tova MiloProfessor of Computer Science, Tel Aviv UniversityEmail confirmado em cs.tau.ac.il
Michael J. CareyBren Professor of Information and Computer Sciences, University of California, IrvineEmail confirmado em ics.uci.edu
Jennifer WidomProfessor of Computer Science, Stanford UniversityEmail confirmado em cs.stanford.edu
Jeff LeFevreAdjunct Professor of Computer Science and Engineering, University of California, Santa CruzEmail confirmado em soe.ucsc.edu
Manasi VartakMITEmail confirmado em csail.mit.edu
Alex BeutelOpenAIEmail confirmado em openai.com
Jeff DeanGoogle Chief Scientist, Google Research and Google DeepMindEmail confirmado em google.com
Ed H. ChiGoogle DeepMind / Google BrainEmail confirmado em acm.org
Jagan SankaranarayananGoogle IncEmail confirmado em umiacs.umd.edu
Magdalini EirinakiProfessor of Computer Engineering, San Jose State UniversityEmail confirmado em sjsu.edu
Samuel MaddenMITEmail confirmado em csail.mit.edu
Hyunjung ParkGoogleEmail confirmado em cs.stanford.edu
Hakan HacigumusGoogleEmail confirmado em hacigumus.org

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Neoklis Polyzotis

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Databases Machine Learning


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
The case for learned index structures T Kraska, A Beutel, EH Chi, J Dean, N Polyzotis Proceedings of the 2018 international conference on management of data, 489-504, 2018	1205	2018
Tfx: A tensorflow-based production-scale machine learning platform D Baylor, E Breck, HT Cheng, N Fiedel, CY Foo, Z Haque, S Haykal, ... Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017	489	2017
Data validation for machine learning N Polyzotis, M Zinkevich, S Roy, E Breck, S Whang Proceedings of machine learning and systems 1, 334-347, 2019	410	2019
Seedb: Efficient data-driven visualization recommendations to support visual analytics M Vartak, S Rahman, S Madden, A Parameswaran, N Polyzotis Proceedings of the VLDB Endowment International Conference on Very Large …, 2015	302	2015
Crowdscreen: Algorithms for filtering data with humans AG Parameswaran, H Garcia-Molina, H Park, N Polyzotis, A Ramesh, ... Proceedings of the 2012 ACM SIGMOD International Conference on Management of …, 2012	290	2012
Goods: Organizing google's datasets A Halevy, F Korn, NF Noy, C Olston, N Polyzotis, S Roy, SE Whang Proceedings of the 2016 International Conference on Management of Data, 795-806, 2016	256	2016
Data management challenges in production machine learning N Polyzotis, S Roy, SE Whang, M Zinkevich Proceedings of the 2017 ACM International Conference on Management of Data …, 2017	254	2017
Data lifecycle challenges in production machine learning: a survey N Polyzotis, S Roy, SE Whang, M Zinkevich ACM SIGMOD Record 47 (2), 17-28, 2018	245	2018
Scihadoop: Array-based query processing in hadoop JB Buck, N Watkins, J LeFevre, K Ioannidou, C Maltzahn, N Polyzotis, ... Proceedings of 2011 International Conference for High Performance Computing …, 2011	210	2011
Statistical synopses for graph-structured XML databases N Polyzotis, M Garofalakis Proceedings of the 2002 ACM SIGMOD international conference on management of …, 2002	205	2002
Query recommendations for interactive database exploration G Chatzopoulou, M Eirinaki, N Polyzotis Scientific and Statistical Database Management: 21st International …, 2009	200	2009
Human-assisted graph search: it's okay to ask questions A Parameswaran, AD Sarma, H Garcia-Molina, N Polyzotis, J Widom arXiv preprint arXiv:1103.3102, 2011	188	2011
Approximate XML query answers N Polyzotis, M Garofalakis, Y Ioannidis Proceedings of the 2004 ACM SIGMOD international conference on Management of …, 2004	186	2004
MISO: souping up big data query processing with a multistore system J LeFevre, J Sankaranarayanan, H Hacigumus, J Tatemura, N Polyzotis, ... Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014	170	2014
Structure and value synopses for XML data graphs N Polyzotis, M Garofalakis VLDB'02: Proceedings of the 28th International Conference on Very Large …, 2002	167	2002
Colt: continuous on-line tuning K Schnaitter, S Abiteboul, T Milo, N Polyzotis Proceedings of the 2006 ACM SIGMOD international conference on Management of …, 2006	160	2006
Deco: declarative crowdsourcing AG Parameswaran, H Park, H Garcia-Molina, N Polyzotis, J Widom Proceedings of the 21st ACM international conference on Information and …, 2012	148	2012
Answering queries using humans, algorithms and databases A Parameswaran, N Polyzotis Stanford InfoLab, 2011	139	2011
Map-reduce extensions and recursive queries FN Afrati, V Borkar, M Carey, N Polyzotis, JD Ullman Proceedings of the 14th international conference on extending database …, 2011	133	2011
Supporting streaming updates in an active data warehouse N Polyzotis, S Skiadopoulos, P Vassiliadis, A Simitsis, NE Frantzell 2007 IEEE 23rd International Conference on Data Engineering, 476-485, 2006	132	2006

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