Lise Getoor
Lise Getoor
Distinguished Professor of Computer Science & Engineering, University of California, Santa Cruz
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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
Introduction to statistical relational learning
L Getoor, B Taskar
MIT press, 2007
Link mining: a survey
L Getoor, CP Diehl
Acm Sigkdd Explorations Newsletter 7 (2), 3-12, 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
Learning probabilistic relational models
N Friedman, L Getoor, D Koller, A Pfeffer
IJCAI 99, 1300-1309, 1999
Collective entity resolution in relational data
I Bhattacharya, L Getoor
ACM Transactions on Knowledge Discovery from Data (TKDD) 1 (1), 5-es, 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
Learning Probabilistic Relational Models
L Getoor, N Friedman, D Koller, A Pfeffer
International Joint Conference on Artificial Intelligence (IJCAI), 307-335, 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
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
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
Entity resolution: theory, practice & open challenges
L Getoor, A Machanavajjhala
Proceedings of the VLDB Endowment 5 (12), 2018-2019, 2012
Knowledge graph identification
J Pujara, H Miao, L Getoor, W Cohen
The Semantic Web–ISWC 2013: 12th International Semantic Web Conference …, 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
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
Selectivity estimation using probabilistic models
L Getoor, B Taskar, D Koller
Proceedings of the ACM SIGMOD Conference, 461-472, 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
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
'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
SplicePort—an interactive splice-site analysis tool
RI Dogan, L Getoor, WJ Wilbur, SM Mount
Nucleic acids research 35 (suppl_2), W285-W291, 2007
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