Stefano Monti: (partial) List of Publications

Journals:

  • S. Monti and G. Carenini. Dealing with the expert inconsistency in probability elicitation. To appear in Transactions on Knowledge and Data Engineering, M.J. Druzdzel and L.C. van der Gaag, eds., 2000 (soon to be available on-line).

  • S. Monti and G.F. Cooper. Bounded recursive decomposition: a search-based method for belief network inference under limited resources. International Journal of Approximate Reasoning, 15(1):49-75, 1996. Abstract.

    • Book chapters:

  • S. Monti and G.F. Cooper. Learning Hybrid Bayesian Networks from Data. In M.I. Jordan (editor), Learning in Graphical Models, pages 521-540, Kluwer Academic Publishers, 1998. Also, presented at the the Newton Institute EC School on Probabilistic Graphical Models, Cambridge, UK, September, 1997. Available as Technical Report ISSP-97-01, Intelligent Systems Program, University of Pittsburgh. April 1997. Abstract.

    • Conferences, and peer-reviewed workshops:

  • S. Monti and G.F. Cooper. A Bayesian Network Classifier that combines a Finite Mixture Model and a Naive-Bayes Model. In Proceedings of 15th Conference of Uncertainty in AI (UAI-99), pages 447-456, Stockolm, Sweden, 1999. Abstract

  • S. Monti and G.F. Cooper. A latent variable model for multivariate discretization. In Uncertainty 99: The Seventh International Workshop on Artificial Intelligence and Statistics, pages 249-254, Fort Lauderdale, FL, January, 1999. Abstract.

  • S. Monti and G.F. Cooper. The impact of modeling the dependencies among patient findings on classification accuracy and calibration. In AMIA 1998 Annual Symposium, Orlando, FL, November 1998. Abstract.

  • S. Monti and G.F. Cooper. A Multivariate Discretization Method for Learning Bayesian Networks from Mixed Data. In Proceedings of 14th Conference of Uncertainty in AI (UAI-98), pages 404-413. Madison, WI, 1998. Also, presented at the CONALD-98 workshop Learning causal Bayesian networks, Carnegie Mellon University, Pittsburgh, PA, June 1998. Abstract.

  • S. Monti and G.F. Cooper. Learning Bayesian belief networks with neural network estimators. NIPS-9. In Advances in Neural Information Processing Systems 9: Proceedings of the 1996 Conference, M.C. Mozer, M.I. Jordan, and T. Petsche, eds., pages 578-584, 1997. Available as Technical Report ISSP-96-02, Intelligent Systems Program, University of Pittsburgh. June 1996. Abstract.

  • G. Carenini, S. Monti and G. Banks. An Information-Based Bayesian approach to History Taking. In 5th Conference of AI in Medicine Europe (AIME '95), pages 129-138. Pavia, Italy, June 1995. Abstract

  • S. Monti and G. Carenini. Dealing with the expert inconsistencies: the sooner the better. In IJCAI-95 Workshop: "Building Probabilistic Networks: where do the numbers come from?". Montreal, Canada, August 1995. postscript

    • Limited Circulation:

  • Stefano Monti. Learning Hybrid Bayesian Networks from Data. Unpublished Ph.D. Thesis, Intelligent Systems Program, University of Pittsburgh, Pittsburgh, PA, August 1999. Abstract

  • Stefano Monti. Query Optimization for Multidatabase Systems. Unpublished M.S. Thesis, Department of Computer Science, University of Houston, Houston, Texas, November 1993.
    • smonti@isp.pitt.edu