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Ghanem N, Doermann D, Davis LS, DeMenthon D.  2004.  Mining Tools for Surveillance Video. Proceedings in SPIE 16th International Symposium on Electronic Imaging. :5307259-270-5307259-270.
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, Diehl CP.  2005.  Link mining: a survey. ACM SIGKDD Explorations Newsletter. 7(2):3-12.
Getoor L.  2007.  Combining Tuple and Attribute Uncertainty in Probabilistic Databases. The first international VLDB workshop on Management of Uncertain Data. :1-1.
Getoor L, Friedman N, Taskar B.  2001.  Probabilistic models of relational structure. In Proc. ICML.
Getoor L, Sahami M.  1999.  Using probabilistic relational models for collaborative filtering. Proc. Workshop Web Usage Analysis and User Profiling (WEBKDD’99).
Getoor L, Rhee JT, Koller D, Small P.  2004.  Understanding tuberculosis epidemiology using structured statistical models. Artificial Intelligence in Medicine. 30(3):233-256.
Getoor L, Friedman N, Koller D.  2002.  Learning structured statistical models from relational data. Linköping Electronic Articles in Computer and Information Science. 7:13-13.
Getoor L, Taskar B.  2007.  Introduction to Statistical Relational Learning. :602.
Getoor L, Diehl CP.  2005.  Introduction to the special issue on link mining. ACM SIGKDD Explorations Newsletter. 7(2):1-2.
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, 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.  2003.  Learning Structure From Statistical Models. IEEE Data Engineering Bulletin. 26(3):11-18.
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, 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.