CSCE 582 {=STAT 582} Paper Presentations by Graduate Students
Rubric for extra graduate work,
spring 2022
Some suggested papers from
a recent issue of the journal Integrated Environmental Assessment
and Management.
Papers for presentation (spring 2016)
Mohamed Ali Javidian, April 12, 2016:
Kasper L. Jensen, Jorn Toftum, Peter Friis-Hansen.
"A Bayesian Network Approach to the Evaluation of Building Design and its
Consequences for Employee Performance and Operational Costs."
Building and Environment, 44 (2009), 456-462.
(Local Copy.)
(Presentation.)
Darren Harton, April 19, 2016:
Anders L. Madsen and Uffe B. Kjaerulff.
"Applications of HUGIN to Diagnosis and Control of Autonomous Vehicles."
"Peter Lucas, Jose Gamez, and
and Antonio Salmeron (eds.).
Advances in Probabilistic Graphical Models.
Springer,
313-332, 2007.
(Local Copy.)
(Presentation.)
Asim Jamil Chowdhury and Ahmed Shehab Khan, April 21, 2016:
Michalis Xenos.
"Prediction and assessment of Student Behaviour in Open and
Distance Education in Computers Using Bayesian Networks."
Computers and Education, 43, 345-369 (2004).
(Local Copy.)
(Presentation.)
David N. Barton, Tamara Benjamin, Carlos R. Cerdan, Fabrice DeClerck,
Anders L. Madsen, Graciela M. Rusch, Alvaro G. Salazar, Dalia Sanchez,
Cristobal Villanueva.
"Assessing ecosystem services from multifunctional trees in pastures
using Bayesian belief networks."
Ecosystem Services 18, 165-174 (2016).
(Local Copy.)
Alireza Nasiri, April 21, 2016:
David N. Barton, Youssouf Cisse, Bocary Kaya,
Ibrahima N'Diaye, Harouna Yossi, Abdoulaye Diarra,
Souleymane Keita, Amadou Dembele, Daouda Maiga,
Graciela M. Rusch, Anders L. Madsen.
"Diagnosing agrosilvopastoral practices using Bayesian networks."
Agroforestry Systems, March 2016 (online publication).
(Local Copy.)
(Also see
this page at the Hugin website.)
(Presentation.)
Presentations are expected to last 30 minutes, including time for questions.
Papers for presentations (spring 2014):
Chao Chen, April 24, 2014:
Takeshi Sakaki, Makoto Okazaki, and Yutaka Matsuo. 2010.
"Earthquake shakes Twitter users: real-time event detection by social sensors."
In Proceedings of the 19th international conference on World wide web
(WWW '10). ACM, New York, NY, USA, 851-860.
Presentation.
Paper at ACM
Digital Library.
Local copy.
Additional reference:
Roick, O.; Heuser, S. Location based social networks-Definition,
current state of the art and research agenda. Trans. GIS 2012, 17, 763-784.
Ashwin Patti, April 22, 2014:
Support for Bayesian network learning and classification in Hugin and Weka.
Presentation.
Xiao Lin, April 22, 2014:
The PC algorithm for Bayesian network learning.
Presentation.
Peter Spirtes and Clark Glymour.
An Algorithm for Fast Recovery of Sparse Causal Graphs.
Social Science Computer Review, 1991, Vol. 9, no.1, 62-72.
(Local copy).
Megha Gupta and Rahul Tomar, April 24, 2013:
David Koelle, Jonathan Pfautz, Michael Farry, Zach Cox, Geoffrey Catto,
and Joseph Campolongo.
"Applications of Bayesian Belief Networks in Social Network Analysis."
Proceedings of 4th Bayesian Modeling Applications Workshop at the 22nd Annual
Conference on Uncertainty in AI: UAI '06.
Presentation.
Paper from
the workshop site.
Local copy.
Workshop site.
Harish Lingareddy.
Presentaton on computation of the most probable explanation
in Bayesian networks using bucket elimination.
Presentation.
Tables with computations for the Visit to
Asia Example.
Papers for presentation (spring 2012):
Rejin James and Marwan Kandela, April 19, 2012:
Silja Renooij, Linda C. van der Gaag, "Evidence and scenario sensitivities
in naive Bayesian classifiers," International Journal of Approximate
Reasoning, Volume 49, Issue 2, October 2008, Pages 398-416,
ISSN 0888-613X, 10.1016/j.ijar.2008.02.008.
(http://www.sciencedirect.com/science/article/pii/S0888613X08000236)
( local copy).
(Presentation (ppt) ).
Michael Helms and Hanin Omar, April 19, 2012:
Kathryn Blackmond Laskey, Edward J. Wright, Paulo C.G. da Costa,
"Envisioning uncertainty in geospatial information,"
International Journal of Approximate Reasoning,
Volume 51, Issue 2, January 2010, Pages 209-223,
ISSN 0888-613X, 10.1016/j.ijar.2009.05.011.
(http://www.sciencedirect.com/science/article/pii/S0888613X0900098X)
( local copy).
(Presentation (pptx) ).
Presentations (spring 2009):
- 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) ).
Presentation checklist (MS-Word)
.
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.)