Publications
2007. Probabilistic Relational Models. Introduction to Statistical Relational LearningIntroduction to Statistical Relational Learning. :129-129.
1997. Effective redundant constraints for online scheduling. PROCEEDINGS OF THE NATIONAL CONFERENCE ON ARTIFICIAL IN℡LIGENCE. :302-307.
2005. Introduction to the special issue on link mining. ACM SIGKDD Explorations Newsletter. 7(2):1-2.
1999. Using probabilistic relational models for collaborative filtering. Proc. Workshop Web Usage Analysis and User Profiling (WEBKDD’99).
2002. Learning structured statistical models from relational data. Linköping Electronic Articles in Computer and Information Science. 7:13-13.
2011. Learning statistical models from relational data. Proceedings of the 2011 international conference on Management of data. :1195-1198.
2005. Link Mining for the Semantic Web, Position Statement. Proceedings of the Dagstuhl Seminar in Machine Learning for the Semantic Web.
2004. Understanding tuberculosis epidemiology using structured statistical models. Artificial Intelligence in Medicine. 30(3):233-256.
2001. Learning probabilistic models of relational structure. MACHINE LEARNING-INTERNATIONAL WORKSHOP. :170-177.
2007. Combining Tuple and Attribute Uncertainty in Probabilistic Databases. The first international VLDB workshop on Management of Uncertain Data. :1-1.
2001. Probabilistic models of text and link structure for hypertext classification. IJCAI workshop on text learning: beyond supervision. :24-29.
2000. Learning probabilistic relational models. Abstraction, Reformulation, and Approximation. :322-323.
2001. Multi-Relational Data Mining using Probabilistic Models Research Summary. Proc. Of 1st workshop in MRDM.
2010. Graph Identification. Advances in Intelligent Data Analysis IX: 9th International Symposium. :6-6.
2001. Multi-relational data mining using probabilistic relational models: research summary. In Proceedings of the First Workshop in Multi-relational Data Mining.
2006. An introduction to probabilistic graphical models for relational data. Data Engineering Bulletin. 29(1)