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
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
Alon HalevyGoogleVerified email at google.com
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. PazzaniDistinguished Principal 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
Steven WolfmanUniversity of British ColumbiaVerified email at cs.ubc.ca
Rakesh AgrawalData Insights LaboratoriesVerified email at datainsightslabs.com
Lise GetoorDistinguished Professor of Computer Science & Engineering, University of California, Santa CruzVerified email at ucsc.edu
Jesse DavisProfessor, Department of Computer Science, KU LeuvenVerified email at cs.kuleuven.be

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	4674	1997
A few useful things to know about machine learning P Domingos Communications of the ACM 55 (10), 78-87, 2012	4416	2012
Markov logic networks M Richardson, P Domingos Machine learning 62, 107-136, 2006	3808	2006
Mining the network value of customers P Domingos, M Richardson Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001	3644	2001
Mining high-speed data streams P Domingos, G Hulten Proceedings of the sixth ACM SIGKDD international conference on Knowledge …, 2000	3143	2000
Mining time-changing data streams G Hulten, L Spencer, P Domingos Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001	2468	2001
Mining knowledge-sharing sites for viral marketing M Richardson, P Domingos Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002	2240	2002
Metacost: A general method for making classifiers cost-sensitive P Domingos Proceedings of the fifth ACM SIGKDD international conference on Knowledge …, 1999	2154	1999
The master algorithm: How the quest for the ultimate learning machine will remake our world P Domingos Basic Books, 2015	2116	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	1491	2002
Trust management for the semantic web M Richardson, R Agrawal, P Domingos International semantic Web conference, 351-368, 2003	1350	2003
Adversarial classification N Dalvi, P Domingos, Mausam, S Sanghai, D Verma Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004	1327	2004
Beyond independence: Conditions for the optimality of the simple bayesian classifier P Domingos, M Pazzani Proc. 13th Intl. Conf. Machine Learning, 105-112, 1996	1235	1996
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	1179	2001
Sum-product networks: A new deep architecture H Poon, P Domingos Proceedings of the Twenty-Seventh Conference on Uncertainty in Artificial …, 2011	911	2011
Ontology matching: A machine learning approach AH Doan, J Madhavan, P Domingos, A Halevy Handbook on ontologies, 385-403, 2004	766	2004
Markov Logic P Domingos, D Lowd Markov Logic: An Interface Layer for Artificial Intelligence, 9-22, 2009	718	2009
Tree induction for probability-based ranking F Provost, P Domingos Machine learning 52, 199-215, 2003	706	2003
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	699	2003
The role of Occam's razor in knowledge discovery P Domingos Data mining and knowledge discovery 3, 409-425, 1999	682	1999

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