Lise Getoor 个人学术档案 - 学术资源搜索

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Bert HuangAssistant Professor, Tufts University Department of Computer Science在 vt.edu 的电子邮件经过验证
Ben TaskarUniversity of Washington在 cs.washington.edu 的电子邮件经过验证
Mustafa BilgicIllinois Institute of Technology在 iit.edu 的电子邮件经过验证
Daphne KollerCEO and Founder, insitro在 insitro.com 的电子邮件经过验证
Prithviraj SenAmazon Inc.在 amazon.com 的电子邮件经过验证
Jay PujaraResearch Assistant Professor, University of Southern California在 cs.umd.edu 的电子邮件经过验证
Nir FriedmanProfessor of Computer Science and Medicine, Hebrew University在 mail.huji.ac.il 的电子邮件经过验证
Ben LondonPrincipal Scientist at Amazon在 amazon.com 的电子邮件经过验证
Elena ZhelevaAssociate Professor of Computer Science, University of Illinois Chicago在 uic.edu 的电子邮件经过验证
Indrajit BhattacharyaTCS Research在 tcs.com 的电子邮件经过验证
Stephen H. BachAssistant Professor of Computer Science, Brown University在 cs.brown.edu 的电子邮件经过验证
Amol DeshpandeUniversity of Maryland在 cs.umd.edu 的电子邮件经过验证
Arti RameshSenior Manager, Nissan Advanced Technology Center在 nissan-usa.com 的电子邮件经过验证
James FouldsUniversity of Maryland, Baltimore County在 umbc.edu 的电子邮件经过验证
Hossam ShararaAmerican University in Cairo在 aucegypt.edu 的电子邮件经过验证
Angelika KimmigKU Leuven在 cs.kuleuven.be 的电子邮件经过验证
Pigi KoukiRelational AI在 relational.ai 的电子邮件经过验证
Tina Eliassi-RadProfessor & The Inaugural Joseph E. Aoun Chair, Northeastern University在 eliassi.org 的电子邮件经过验证
Shobeir FakhraeiSenior Machine Learning Scientist, Amazon在 amazon.com 的电子邮件经过验证
Golnoosh FarnadiAssistant Professor at McGill University & Mila, Canada CIFAR AI Chair在 mila.quebec 的电子邮件经过验证

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Lise Getoor

Distinguished Professor of Computer Science & Engineering, University of California, Santa Cruz

在 ucsc.edu 的电子邮件经过验证 - 首页

Machine Learning Reasoning Under Uncertainty Graph & Network Analysis Information Integration


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	4290	2008
Introduction to statistical relational learning L Getoor, B Taskar MIT press, 2007	2089	2007
Link mining: a survey L Getoor, CP Diehl Acm Sigkdd Explorations Newsletter 7 (2), 3-12, 2005	1697*	2005
Link-based classification S Bandyopadhyay, U Maulik, LB Holder, DJ Cook, L Getoor Advanced methods for knowledge discovery from complex data, 189-207, 2005	1207	2005
Learning probabilistic relational models N Friedman, L Getoor, D Koller, A Pfeffer IJCAI 99, 1300-1309, 1999	1185	1999
Collective entity resolution in relational data I Bhattacharya, L Getoor ACM Transactions on Knowledge Discovery from Data (TKDD) 1 (1), 5-es, 2007	862	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	787	2009
Learning Probabilistic Relational Models L Getoor, N Friedman, D Koller, A Pfeffer International Joint Conference on Artificial Intelligence (IJCAI), 307-335, 2001	689*	2001
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	570	2007
Query-driven active surveying for collective classification G Namata, B London, L Getoor, B Huang, U Edu 10th international workshop on mining and learning with graphs 8, 1, 2012	555	2012
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	497	2015
Entity resolution: theory, practice & open challenges L Getoor, A Machanavajjhala Proceedings of the VLDB Endowment 5 (12), 2018-2019, 2012	450	2012
Knowledge graph identification J Pujara, H Miao, L Getoor, W Cohen The Semantic Web–ISWC 2013: 12th International Semantic Web Conference …, 2013	448	2013
Learning probabilistic models of link structure L Getoor, N Friedman, D Koller, B Taskar Journal of Machine Learning Research 3 (Dec), 679-707, 2002	377	2002
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	373	2006
Selectivity estimation using probabilistic models L Getoor, B Taskar, D Koller Proceedings of the ACM SIGMOD Conference, 461-472, 2001	352	2001
A short introduction to probabilistic soft logic A Kimmig, S Bach, M Broecheler, B Huang, L Getoor NIPS Workshop on probabilistic programming: Foundations and applications 1, 3, 2012	320	2012
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	316	2004
'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	298	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	240	2007

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