Lise Getoor

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Bert HuangAssistant Professor, Tufts University Department of Computer ScienceVerified email at vt.edu
Ben TaskarUniversity of WashingtonVerified email at cs.washington.edu
Mustafa BilgicIllinois Institute of TechnologyVerified email at iit.edu
Daphne KollerCEO and Founder, insitroVerified email at insitro.com
Prithviraj SenIBM ResearchVerified email at us.ibm.com
Jay PujaraResearch Assistant Professor, University of Southern CaliforniaVerified email at cs.umd.edu
Nir FriedmanProfessor of Computer Science and Life Sciences, Hebrew UniversityVerified email at mail.huji.ac.il
Ben LondonSr. ML Scientist at AmazonVerified email at amazon.com
Indrajit BhattacharyaTCS Innovation LabsVerified email at tcs.com
Stephen H. BachAssistant Professor of Computer Science, Brown UniversityVerified email at cs.brown.edu
Elena ZhelevaAssistant Professor of Computer Science, University of Illinois at ChicagoVerified email at uic.edu
Amol DeshpandeProfessorVerified email at cs.umd.edu
Arti RameshSenior Research Scientist, AI Labs, Educational Testing ServicesVerified email at ets.org
Angelika KimmigKU LeuvenVerified email at cs.kuleuven.be
James FouldsUniversity of Maryland, Baltimore CountyVerified email at umbc.edu
Dhanya SridharUniversity of Montreal, MilaVerified email at mila.quebec
Tina Eliassi-RadProfessor of Computer Science, Northeastern UniversityVerified email at eliassi.org
Shobeir FakhraeiSenior Machine Learning Scientist, AmazonVerified email at amazon.com
Pigi KoukiRelational AIVerified email at relational.ai
Hui MiaoGoogleVerified email at google.com

Lise Getoor

Professor of Computer Science, University of California, Santa Cruz

Verified email at ucsc.edu - Homepage

Machine Learning Reasoning Under Uncertainty Graph & Network Analysis Information Integration Ethics & Responsible Data Scie


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Collective classification in network data P Sen, G Namata, M Bilgic, L Getoor, B Galligher, T Eliassi-Rad AI magazine 29 (3), 93-93, 2008	2427	2008
Introduction to statistical relational learning L Getoor, B Taskar MIT press, 2007	1925*	2007
Link mining: a survey L Getoor, CP Diehl Acm Sigkdd Explorations Newsletter 7 (2), 3-12, 2005	1608*	2005
Learning probabilistic relational models N Friedman, L Getoor, D Koller, A Pfeffer IJCAI 99, 1300-1309, 1999	1145	1999
Link-based classification L Getoor Advanced methods for knowledge discovery from complex data, 189-207, 2005	1030	2005
Collective entity resolution in relational data I Bhattacharya, L Getoor ACM Transactions on Knowledge Discovery from Data (TKDD) 1 (1), 5-es, 2007	774	2007
To join or not to join: the illusion of privacy in social networks with mixed public and private user profiles E Zheleva, L Getoor Proceedings of the 18th international conference on World wide web, 531-540, 2009	722	2009
Preserving the privacy of sensitive relationships in graph data E Zheleva, L Getoor International workshop on privacy, security, and trust in KDD, 153-171, 2007	537	2007
Learning Probabilistic Relational Models L Getoor, N Friedman, D Koller, A Pfeffer International Joint Conference on Artificial Intelligence (IJCAI), 307-335, 2001	406	2001
Hinge-loss markov random fields and probabilistic soft logic SH Bach, M Broecheler, B Huang, L Getoor Journal of Machine Learning 18 (109), 1-67, 2015	380	2015
Learning probabilistic models of link structure L Getoor, N Friedman, D Koller, B Taskar Journal of Machine Learning Research 3 (Dec), 679-707, 2002	364	2002
Entity resolution: theory, practice & open challenges L Getoor, A Machanavajjhala Proceedings of the VLDB Endowment 5 (12), 2018-2019, 2012	359	2012
A latent dirichlet model for unsupervised entity resolution I Bhattacharya, L Getoor Proceedings of the 2006 SIAM International Conference on Data Mining, 47-58, 2006	356	2006
Knowledge graph identification J Pujara, H Miao, L Getoor, W Cohen International semantic web conference, 542-557, 2013	333	2013
Selectivity estimation using probabilistic models L Getoor, B Taskar, D Koller Proceedings of the ACM SIGMOD Conference, 461-472, 2001	313	2001
Iterative record linkage for cleaning and integration I Bhattacharya, L Getoor Proceedings of the 9th ACM SIGMOD workshop on Research issues in data mining …, 2004	312	2004
A short introduction to probabilistic soft logic A Kimmig, S Bach, M Broecheler, B Huang, L Getoor Proceedings of the NIPS workshop on probabilistic programming: foundations …, 2012	260	2012
Learning probabilistic models of relational structure L Getoor, N Friedman, D Koller, B Taskar ICML 1, 170-177, 2001	257	2001
'Beating the news' with EMBERS: forecasting civil unrest using open source indicators N Ramakrishnan, P Butler, S Muthiah, N Self, R Khandpur, P Saraf, ... Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014	255	2014
SplicePort—an interactive splice-site analysis tool RI Dogan, L Getoor, WJ Wilbur, SM Mount Nucleic acids research 35 (suppl_2), W285-W291, 2007	241	2007

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