CSCE 582 {=STAT 582} Paper Presentations by Graduate Students

Papers for presentations:

• Jingsong Wang and Scott Langevin, Wednesday, April 15, 2009. S.L. Guarino, J.D. Pfautz, Z. Cox, and E. Roth. "Modeling human reasoning about meta-information." International Journal of Approximate Reasoning, Vol. 50, No. 3 (March 2009), pp.437-449 (Short UAI-06 workshop conference version). (Presentation (ppt) ).
• Nick Stiffler and Ben Fine, Friday, April 17, 2009. R.G. Almond, V.J. Shute, J.S. Underwood, and J.-D. Zapata-Rivera. "Bayesian networks: A teacher's view." International Journal of Approximate Reasoning, Vol. 50, No. 3 (March 2009), pp.450-460 (Short UAI-06 workshop conference version). (Presentation (ppt) ).
• Jimmy Cleveland, Monday, April 20, 2009. Aaron .A. Klammer, Sheila M. Reynolds, Jeff A. Bilmes, Michael J. MacCoss, and WIlliam Stafford Noble. "Modeling peptide fragmentation with dynamic Bayesian networks for peptide identification." Bioinformatics, Vol.24 ISMB 2008, pp. i348-i356, doi:10.1093/bioinformatics/btn189. (Presentation (pdf) ).
• Garron Wright, Monday, April 20, 2009. Amira Djebbaru and John Quackenbush. "Seeded Bayesian networks: Constructing genetic networks from microarray data." BMC Systems Biology, 2:57 (4 July 2008). (Presentation (ppt) ).
• Everett Hite, Wednesday, April 22, 2009. Presentation on the Java Causal Analysis Tool (JCAT), based on summer internship.
• Matthew Sanderson, Friday, April 24, 2009. H.J.M. Tabachneck-Scijf and P.L. Geenen. "Preventing knowledge transfer errors: Probabilistic decision support systems through the users' eyes." International Journal of Approximate Reasoning, Vol. 50, No. 3 (March 2009), pp.461-471 (Short UAI-06 workshop conference version). (Presentation (ppt) ).

Some advice on oral presentations from Mark Hill and David Patterson

How to give a good presentation, by Kati Compton and Mark Chang

Fall 2003 Presentations:

• Jeffery L. Janies and Myachina Oksana. Thursday, December 4, 2003. Bart Basaens et al. "Bayesian Network Classifiers for Identifying the Slope of the Customer Lifecycle of Long-Life Customers." Bibliographical details to be provided. PowerPoint Presentation
• Jingshan Huang and Xi Hong. Thursday, November 6, 2003. "On the Role of Multiply Sectioned Bayesian Networks to Cooperative Multiagent Systems." Presentation notes by J. Huang and X. Hong.
• Neeraj Agrawal and Sujan Pakala. Thursday, December 4, 2003. Kristian G. Olesen and Steen Andreassen. "Specification of Models in Large Expert Systems Based on Causal Probabilistic Networks." Artificial Intelligence in Medicine, 5 (1993), 269-281. PowerPoint Presentation
• Jiangbo Dang and Yimin Huang. Tuesday, December 2, 2003. Adnan Darwiche. "A Differential Approach to Inference in Bayesian Networks." UAI-00, pp.123-132. PowerPoint Presentation
• Iulia Oroian and Leonard Rodrigo. Tuesday, December 2. "Ecosystem Analysis Using Probabilistic Relational Modeling." IJCAI-03 Workshop on Learning Statistical Models from Relational Data. PowerPoint Presentation
• Xu Seng and Zhu Bingyu. Thursday, December 4. Allan .L. Jensen and Finn V. Jensen. "Midas: An Influence Diagram for Management of Mildew in Winter Wheat." Proceedings of UAI-96, pp.349-356. (Xu and Zhu: Please ask Marco Valtorta for a copy of this paper.) PowerPoint Presentation
• Srikant Bussa and B. Pandravada. Thursday, December 4, 2003. Eric Horvitz and Matthew Barry. "Display of Information for Time-Critical Decision Making." Proceedings of UAI-95, pp.296-305. PowerPoint Presentation
• D.P. Chanchalani and Sreeja Vallabhan. Mark Bloemeke and Marco Valtorta. "A Hybrid Algorithm to Compute Marginal and Joint Beliefs in Bayesian Networks and Its Complexity." Proceedings of UAI98, pp. 16-23. Present only sections 1,2,7,8,9,10,11. PowerPoint Presentation (Sreeja Vallabhan only)

Fall 2002 Presentations:

• Anton Bezuglov and Hrishikesh Goradia. Rina Dechter. "Bucket Elimination: A Unifying Framework for Probabilistic Inference." UAI-96, pp.211-219. (Paper 48 at the author's site.) (Presentation of 2/10/11, in PowerPoint format.) (Example of belief computation, in MS-Word format, updated and corrected on 2-11-8.) (Example of computation of most probable explanation, in MS-Word format.)
• Viji R. Avali and Richard E. McCraw. Kathryn Laskey and Todd Levitt. "Multisource Fusion for Probabilistic Detection and Opportunistic Assessment of Terrorist Threats." Aerosense 2002. ( Paper at the first author's site .) (Presentation of 2/11/15, in PowerPoint format.)
• Suman Pakala and Xu Feng. Eric Horvitz, Jack Breese, David Heckerman, David Hovel, and Koos Rommelse. "The Lumiere Project: Bayesian User Modeling for Inferring the Goals and Needs of Software Users." UAI-97, pp. 256-265. (Paper at the first author's site .) (Presentation of 2/11/15, in PowerPoint format.)