Pedro Domingos

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Matthew RichardsonMicrosoft ResearchVerified email at microsoft.com
Geoff HultenGoogleVerified email at google.com
Hoifung PoonGeneral Manager, Microsoft Health FuturesVerified email at microsoft.com
Alon HalevyFacebook AIVerified email at fb.com
Daniel LowdAssociate Professor of Computer Science, University of OregonVerified email at cs.uoregon.edu
Parag SinglaIndian Institute of Technology DelhiVerified email at cse.iitd.ac.in
AnHai DoanProfessor of Computer Science, University of Wisconsin-MadisonVerified email at cs.wisc.edu
Daniel WeldAllen Institute for AI & University of WashingtonVerified email at cs.washington.edu
Stanley KokNational University of SingaporeVerified email at nus.edu.sg
Michael J. PazzaniPrincipal ScientistVerified email at isi.edu
Aniruddh NathGoogle, LLCVerified email at google.com
Robert GensVerified email at cs.washington.edu
Vibhav GogateThe University of Texas at DallasVerified email at utdallas.edu
MausamProfessor of Computer Science & Engineering, Indian Institute of Technology DelhiVerified email at cs.washington.edu
Thomas DietterichDistinguished Professor (Emeritus), Computer Science, Oregon State UniversityVerified email at cs.orst.edu
Abram (Abe) FriesenSenior Research Scientist, DeepMindVerified email at cs.washington.edu
Rakesh AgrawalData Insights LaboratoriesVerified email at datainsightslabs.com
Lise GetoorProfessor of Computer Science, University of California, Santa CruzVerified email at ucsc.edu
Steven WolfmanUniversity of British ColumbiaVerified email at cs.ubc.ca
Foster ProvostProfessor, New York UniversityVerified email at stern.nyu.edu

Pedro Domingos

Professor of Computer Science and Engineering, University of Washington

Verified email at cs.washington.edu - Homepage

Machine Learning Artificial Intelligence Data Science


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
On the optimality of the simple Bayesian classifier under zero-one loss P Domingos, M Pazzani Machine learning 29 (2), 103-130, 1997	4427	1997
A few useful things to know about machine learning P Domingos Communications of the ACM 55 (10), 78-87, 2012	3664	2012
Markov logic networks M Richardson, P Domingos Machine learning 62, 107-136, 2006	3603	2006
Mining the network value of customers P Domingos, M Richardson Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001	3433	2001
Mining high-speed data streams P Domingos, G Hulten Proceedings of the sixth ACM SIGKDD international conference on Knowledge …, 2000	2896	2000
Mining time-changing data streams G Hulten, L Spencer, P Domingos Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001	2301	2001
Mining knowledge-sharing sites for viral marketing M Richardson, P Domingos Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002	2120	2002
Metacost: A general method for making classifiers cost-sensitive P Domingos Proceedings of the fifth ACM SIGKDD international conference on Knowledge …, 1999	2052	1999
The master algorithm: How the quest for the ultimate learning machine will remake our world P Domingos Basic Books, 2015	1607	2015
Learning to map between ontologies on the semantic web AH Doan, J Madhavan, P Domingos, A Halevy Proceedings of the 11th international conference on World Wide Web, 662-673, 2002	1470	2002
Trust management for the semantic web M Richardson, R Agrawal, P Domingos The Semantic Web-ISWC 2003: Second International Semantic Web Conference …, 2003	1282	2003
Beyond independence: Conditions for the optimality of the simple bayesian classifier P Domingos, M Pazzani Proc. 13th Intl. Conf. Machine Learning, 105-112, 1996	1188	1996
Adversarial classification N Dalvi, P Domingos, Mausam, S Sanghai, D Verma Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004	1169	2004
Reconciling schemas of disparate data sources: A machine-learning approach AH Doan, P Domingos, AY Halevy Proceedings of the 2001 ACM SIGMOD international conference on Management of …, 2001	1155	2001
Sum-product networks: A new deep architecture H Poon, P Domingos Proceedings of the Twenty-Seventh Conference on Uncertainty in Artificial …, 2011	801	2011
Ontology matching: A machine learning approach AH Doan, J Madhavan, P Domingos, A Halevy Handbook on ontologies, 385-403, 2004	741	2004
Learning to match ontologies on the semantic web AH Doan, J Madhavan, R Dhamankar, P Domingos, A Halevy The VLDB journal 12, 303-319, 2003	680	2003
Tree induction for probability-based ranking F Provost, P Domingos Machine learning 52, 199-215, 2003	679	2003
The role of Occam's razor in knowledge discovery P Domingos Data mining and knowledge discovery 3, 409-425, 1999	619	1999
The intelligent surfer: Probabilistic combination of link and content information in pagerank M Richardson, P Domingos Advances in neural information processing systems 14, 2001	617	2001

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