Publications

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Ghanem N, DeMenthon D, Doermann D, Davis LS.  2004.  Representation and Recognition of Events in Surveillance Video Using Petri Nets. Second IEEEWorkshop on Event Mining 2004, CVPR2004. :112-112.
Ghallab M, Nau DS, Traverso P.  2004.  Automated Planning: Theory and Practice.
Geyken A, Boyd-Graber J.  2003.  Automatic classification of multi-word expressions in print dictionaries. Lingvisticae Investigationes. 26(2):187-202.
Gevers D, Pop M, Schloss PD, Huttenhower C.  2012.  Bioinformatics for the Human Microbiome Project. PLoS Computational Biology. 8(11):e1002779.
Getoor L, Segal E, Taskar B, Koller D.  2001.  Probabilistic models of text and link structure for hypertext classification. IJCAI workshop on text learning: beyond supervision. :24-29.
Getoor L.  2001.  Multi-Relational Data Mining using Probabilistic Models Research Summary. Proc. Of 1st workshop in MRDM.
Getoor L.  2010.  Graph Identification. Advances in Intelligent Data Analysis IX: 9th International Symposium. :6-6.
Getoor L, Friedman N, Koller D, Pfeffer A, Taskar B.  2007.  Probabilistic Relational Models. Introduction to Statistical Relational LearningIntroduction to Statistical Relational Learning. :129-129.
Getoor L.  2003.  Link mining: a new data mining challenge. ACM SIGKDD Explorations Newsletter. 5(1):84-89.
Getoor L.  2003.  Learning Structure From Statistical Models. IEEE Data Engineering Bulletin. 26(3):11-18.
Getoor L, Ottosson G, Fromherz M, Carlson B.  1997.  Effective redundant constraints for online scheduling. PROCEEDINGS OF THE NATIONAL CONFERENCE ON ARTIFICIAL IN℡LIGENCE. :302-307.
Getoor L, Koller D, Friedman N.  2000.  From instances to classes in probabilistic relational models. Proc. ICML 2000 Workshop on Attribute-Value and Relational Learning.
Getoor L.  2005.  Link-based classification. Advanced methods for knowledge discovery from complex data. :189-207.
Getoor L.  2005.  Tutorial on statistical relational learning. Inductive Logic Programming. :415-415.
Getoor L, Licamele L.  2005.  Link Mining for the Semantic Web, Position Statement. Proceedings of the Dagstuhl Seminar in Machine Learning for the Semantic Web.
Getoor L.  2000.  Learning probabilistic relational models. Abstraction, Reformulation, and Approximation. :322-323.
Getoor L.  2006.  An introduction to probabilistic graphical models for relational data. Data Engineering Bulletin. 29(1)
Getoor L, Mihalkova L.  2011.  Exploiting statistical and relational information on the web and in social media. Proceedings of the fourth ACM international conference on Web search and data mining. :9-10.
Getoor L, Friedman N, Koller D, Taskar B.  2001.  Learning probabilistic models of relational structure. MACHINE LEARNING-INTERNATIONAL WORKSHOP. :170-177.
Getoor L, Taskar B, Koller D.  2001.  Selectivity estimation using probabilistic models. ACM SIGMOD Record. 30(2):461-472.
Getoor L.  2001.  Multi-relational data mining using probabilistic relational models: research summary. In Proceedings of the First Workshop in Multi-relational Data Mining.
Getoor L.  2007.  Introduction to Statistical Relational Learning.
Getoor L, Mihalkova L.  2011.  Learning statistical models from relational data. Proceedings of the 2011 international conference on Management of data. :1195-1198.
Getoor L.  2003.  Structure discovery using statistical relational learning. Data Engineering. 51:10-10.
Getoor L, Grant J.  2006.  PRL: A probabilistic relational language. Machine Learning. 62(1):7-31.

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