Publications, Slides, Posters

2008

• Natarajan, S., Bui, H. H., Tadepalli, P., Kersting, K., and Wong, W.-K. (2008). Logical Hierarchical Hidden Markov Models for Modeling User Activities. In Proceedings of the Eighteenth International Conference on Inductive Logic Programming, (To appear). (pdf)
• Shen, J., Li, L., and Wong, W.-K. (2008). Markov Blanket Feature Selection for Support Vector Machines. In Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, (To appear). (pdf)
• Stumpf, S., Sullivan, E., Fitzhenry, E., Oberst, I., Wong, W.-K., Burnett, M. (2008). Integrating Rich User Feedback into Intelligent User Interfaces. In Proceedings of the 2008 International Conference on Intelligent User Interfaces, (pp. 50-59), New York, NY: ACM Press. (pdf) [Note: The camera-ready version in the official IUI 2008 proceedings was missing Table 2. This web version includes Table 2]
• Hillier, M., Wong, W.-K., Sheehy, S., and Jones, J. A. (2008). Google Earth as a visualization tool for understanding changing patterns of exotic plants along forest roads in western Oregon. In Proceedings of the Annual Meeting of the Association of American Geographers.

2007

• Shen, Y., Wong, W.-K., Levander, J., and Cooper, G. F. (2007). An outbreak detection algorithm that efficiently performs complete Bayesian model averaging over all possible spatial distributions of disease. Advances in Disease Surveillance; 4:113.
• Mills-Price, C., Wong, W.-K., Tadepalli, P., Dereszynski, E. (2007). Bi-level Optimization for Learning Cost Functions from Demonstration. Proceedings of the 2007 AAAI Workshop on Acquiring Planning Knowledge via Demonstration, 18-20. (pdf)
• Parker, C., Tadepalli, P., Wong W-K., Dietterich, T., Fern, A. Learning from Demonstrations via Structured Prediction. Proceedings of the 2007 AAAI Workshop on Acquiring Planning Knowledge via Demonstration, 34-40.
• Kaufman, Z., Wong W-K., Peled-Leviatan, T., Cohen, E., Lavy, C., Aharonowitz, G. Dichtiar, R., Bromberg, M., Havkin, O., Kokia, E., Green, M. (2007). Evaluation of a Syndromic Surveillance System Using the WSARE Algorithm for Early Detection of an Unusual, Localized Summer Outbreak of Influenza B: Implications for Bioterrorism Surveillance. Israel Medical Association Journal, 9:3-7.
• Rolka, H., Burkom, H., Cooper, G. F., Kulldorff, M., Madigan, D., and Wong, W-K. (2007). Issues in applied statistics for public health bioterrorism surveillance using multiple data streams: research needs. Statistics in Medicine, Vol 26, Number 8.

2006

• Natarajan, S., Wong, W.-K., and Tadepalli, P. (2006). Structure Refinement in First Order Conditional Influence Language. Workshop on Open Problems in Statistical Relational Learning, ICML 2006. (pdf)
• Cooper, G., Dash, D., Levander, J., Wong, W.-K., Hogan, W., and Wagner, M. (2006). Bayesian Biosurveillance. In M. M. Wagner, A. W. Moore and R. A. Aryel (Eds.), Handbook of Biosurveillance. New York City, NY: Academic Press.
• Wong, W.-K. and Moore, A. (2006) Outbreak Detection with Time Series Data. In M. M. Wagner, A. W. Moore and R. A. Aryel (Eds.), Handbook of Biosurveillance. New York City, NY: Academic Press.

2005

• Sabhnani, M. R., Neill, D. B., Moore, A. W., Dubrawski, A., and Wong, W.-K. (2005). Efficient analytics for effective monitoring of biomedical security. Proceedings of the International Conference on Information and Automation.(pdf)
• Wong, W.-K., Moore, A., Cooper, G. and Wagner, M. (2005). What's Strange About Recent Events (WSARE): An Algorithm for the Early Detection of Disease Outbreaks. Journal of Machine Learning Research, 6, 1961-1998. (pdf)
• Adamou, C., Cooper, G., Wong, W.-K., Dowling, J., and Hogan, W. (2005). Modeling clinician detection time of a disease outbreak due to inhalational anthrax. Proceedings of the National Conference on Syndromic Surveillance. (abstract) (poster)
  
• Garman, C., Wong, W.-K., and Cooper, G. (2005). The effect of inferring work location from home location in performing bayesian biosurveillance. Proceedings of the National Conference on Syndromic Surveillance. (abstract) (poster)
  
• Shen, Y., Wong, W.-K., and Cooper, G. (2005). A generalization of the standard AMOC curve. Proceedings of the National Conference on Syndromic Surveillance. (abstract) (slides)
  
• Wong, W.-K., and Moore, A. (2005). Bayesian network approaches to detection. In A. B. Lawson and K. Kleinman (Eds.), Spatial and syndromic surveillance for public health, 169-187. New York: John Wiley and Sons, Ltd.
  
• Wong, W.-K., Cooper, G., Dash, D., Levander, J., Dowling, J., Hogan, W., and Wagner, M. (2005). Population-wide Anomaly Detection. KDD 2005 Workshop on Data Mining Methods for Anomaly Detection(pp. 79-83). (pdf) (slides)
  
• Wong, W.-K., Cooper, G., Dash, D., Levander, J., Dowling, J., Hogan, W., and Wagner, M. (2005). Use of multiple data streams to conduct Bayesian biologic surveillance. In: Syndromic Surveillance: Reports from a National Conference, 2004. MMWR 2005; 54 (Suppl), 63-69. (pdf) (slides)
  

2004

• Cooper, G., Dash, D., Levander, J., Wong W.-K., Hogan, W., and Wagner, M. (2004). Bayesian biosurveillance of disease outbreaks. Proceedings of the Twentieth Conference of Uncertainty in Artificial Intelligence (UAI-2004) (pp. 94-103). Arlington, VA: AUAI Press. (pdf) (slides)
  
• Wong, W.-K. (2004) Data mining for early disease outbreak detection. Doctoral dissertation, Carnegie Mellon University, Pittsburgh. (pdf) (slides)
  

2003

• Wong, W.-K., Moore, A., Cooper, G., and Wagner, M. (2003) Bayesian network anomaly pattern detection for disease outbreaks. Proceedings of the Twentieth International Conference on Machine Learning (ICML-2003) (pp. 808-815). Menlo Park, California: AAAI Press. (pdf) (slides) (poster)
  
• Moore, A., and Wong, W.-K. (2003). Optimal Reinsertion: A new search operator for accelerated and more accurate Bayesian network structure learning. Proceedings of the Twentieth International Conference on Machine Learning (ICML 2003) (pp. 552-559). Menlo Park, CA: AAAI Press. (pdf)
  
• Wong, W.-K., Moore, A., Cooper, G., and Wagner, M. (2003). What's strange about recent events. Journal of Urban Health, 80, i66-i75. (pdf)
  

2002

• Wong, W.-K., Moore A.., Cooper, G., and Wagner, M. (2002). Rule-based anomaly pattern detection for detecting disease outbreaks. Proceedings of the Eighteenth National Conference on Artificial Intelligence (AAAI-02) (pp. 217-223). AAAI Press. (pdf)
  
• Wong, W.-K., and Moore, A. (2002). Efficient algorithms for non-parametric clustering with clutter. Computer Science and Statistics (pp.541-553). Fairfax Station, VA: Interface Foundation of North America, Inc. (pdf) (slides)
  

1999

• Schneider, J., Wong, W.-K., Moore, A., and Riedmiller, M. (1999) Distributed value functions. Proceedings of the Sixteenth International Conference on Machine Leanring (ICML-99) (pp.371-378). San Francisco, CA: Morgan Kaufmann. (pdf)
  

Slides from Talks

• End-user Debugging of Machine Learning Systems (2008). Given at Microsoft Research (slides)
• Bayesian Networks tutorial (2006). Given at the National Syndromic Surveillance Conference, Baltimore, MD. (slides)
• What's Strange About Recent Events (WSARE). (2004). Given at the Anomaly Detection Workshop at Stanford. (slides)
• What's Strange About Recent Events (WSARE) v3.0: Adjusting for a Changing Baseline. (2003). Given at the National Syndromic Surveillance Conference. (slides)
• What's Strange About Recent Events (WSARE). (2003). Given at a DIMACS workshop. (slides)
• Efficient algorithms for non-parametric clustering with clutter. (2002). Given at the CMU Machine Learning Lunch. (slides)

Posters

• Data Mining for the Early Detection of Disease Outbreaks. Presented at the Kelley Engineering Center Open House. ppt

Software

• Q2 (Coming soon)