David W. Opitz
Assistant Professor
Department of Computer Science
University of Montana
Missoula, MT 59812
E-mail: opitz@cs.umt.edu
Telephone: (406) 243-2831
Fax: (406) 243-5139
Research Interests: machine learning, image processing, feature extraction, neural networks, genetic algorithms, bioinformatics, ensemble methods, anytime learning, feature selection
Director: University of Montana Machine Learning Research Lab
PhD Computer Sciences, University of Wisconsin-Madison 1995
MS Computer Sciences, University of Wisconsin-Madison 1990
BS Computer Science, Montana Tech, 1988
BS Applied Mathematics, Montana Tech, 1988
Opitz, D., Morris, M. and Blundell, S. (2004). "A Change Detection System for Natural Resource Applications." Tenth Biennial Forest Service Remote Sensing Applications Conference.
Opitz, D., Morris, M., Mowry, A., and Blundell, S. (2004). "Extracting Natural Geographic Features from LIDAR." Tenth Biennial Forest Service Remote Sensing Applications Conference.
Opitz, D., Blundell, S., Finlayson, C., Mowry, A., and Morris, M. (2004). Automating Production of Digital Nautical Charts." Proceedings from the ESRI International User Conference.
Blundell, S., Finlayson, C., and Opitz, D. (2004). "Modeling Buildings for Mission Rehearsals." Proceedings from the ESRI International User Conference.
Opitz, D and Finlayson, C. (2004). "A Complete Building Extraction System from Elevation Data." Proceedings from the ESRI International User Conference.
Opitz, D. (2003). "An Automated Change Detection Method for Specific Features." Proceedings of the International ESRI User Conference Proceedings.
Opitz, D. (2002). "The Use of Spatial Context in Image Understanding." Ninth Biennial Forest Service Remote Sensing Applications Conference.
Opitz, D. (2002). "Classifying Wildfire Severity: A Case Study using the Feature Analyst." Ninth Biennial Forest Service Remote Sensing Applications Conference.
Opitz, D. (2002). "Feature Extraction Using Spatial Context," Proceedings of the International ESRI User Conference.
Opitz, D. and Blundell, S. (2002). "Hierarchical Feature Extraction: Removing the Clutter," Proceedings of the International ESRI User Conference.
Opitz, D. (2002). "Automated Image Recognition via Ensembles," International Conference on Artificial Intelligence and Soft Computing.
Opitz, D., Basak, Grunwald, Gute, and Balasubramanian (2002). "Use of statistical and neural net approaches in predicting toxicity of chemicals," Journal of Chemical Information and Computer Sciences. Vol. 40, 885-890
Opitz, D., Redmond, R., Winne, J., and Mangrich, M. (2001). "Classifying and Mapping Wildfire Severity," Imaging Notes. Vol. 16 No. 5. 24-25.
Opitz, D. and Maclin, R. (1999) "Popular Ensemble Methods: An Empirical Study", Journal of Artificial Intelligence Research, Volume 11, pages 169-198.
Opitz, D. (1999). Feature Selection for Ensembles. Sixteenth National Conference on Artificial/ Intelligence (AAAI), (379-384). Orlando, FL.
Opitz, D. & Shavlik, J. (1999). A Genetic Algorithm Approach for Creating Neural Network Ensembles. Combining Artificial Neural Nets. Amanda Sharkey (ed.). (pp. 79-97). Springer-Verlag, London.
Opitz, D. Basak, S. & Gute, B. (1999). Hazard Assessment Modeling: An Evolutionary Ensemble Approach. Genetic and Evolutionary Computation Conference. (1643-1651). Orlando, FL.
Opitz, D. & Blundell, S. (1999). An Intelligent User Interface for Feature Extraction from Remotely Sensed Images. American Society for Photogrammetry and Remote Sensing. (171-177). Portland, OR.
Opitz, D, Prabu, G. Smith, G. and Wrobel, C. (1999). Neural Network Ensembles For Control. IASTED International Conference on Control and Applications. (464-467). Banff, Canada.
Opitz, D. & Potluri, R. (1998). An Empirical Evaluation of Machine Learning Techniques for Automated Information Filtering. International Conference on Artificial Intelligence and Soft Computing. (pp. 271-274). Cancun, Mexico.
Opitz, D. W. (1997).
The Effective Size of a Neural Network: A Principal Component Approach,
Fourteenth International Conference on Machine Learning, (pp. 263-271),
Nashville, TN.
Abstract
Opitz, D. W. & Shavlik J. W. (1996).
Actively
Searching for an Effective Neural-Network Ensemble. Connection Science,
(pp. 337-353), 8. (3,4).
Abstract.
Opitz, D.W. & Shavlik, J.W. (1996).
Generating
Accurate and Diverse Members of a Neural-Network Ensemble. Advances
in Neural Information Processing Systems (NIPS) 8. David S. Touretzky,
Michael C. Mozer and Michael E. Hasselmo, eds., MIT Press: Cambridge, MA.
Abstract.
Opitz, D.W. & Shavlik, J.W. (1995).
Dynamically
Adding Symbolically Meaningful Nodes to Knowledge-Based Neural Networks.
Knowledge-Based Systems, 8(6), 3-19.
Abstract.
Opitz, D.W., & Shavlik, J.W. (1995). Using Heuristic Search to Expand Knowledge-Based Neural Networks. In Computational Learning Theory and Natural Learning Systems, Vol 3, T. Petsche, S. Judd, and S. Hanson (eds.), (pp. 3-19), Cambridge, MA. MIT Press.
Opitz, D.W. & Shavlik, J.W. (1994).
Using
Genetic Search to Refine Knowledge-Based Neural Networks. In Machine
Learning: Proceedings of the Eleventh International Conference, William
W. Cohen & Haym Hirsh, eds., (pp. 208-216), New Brunswick, NJ. Morgan
Kaufmann Publishers.
Abstract.
Opitz, D.W., & Shavlik, J.W. (1993).
Heuristically
Expanding Knowledge-Based Neural Networks. In Proceedings of the
Thirteenth International Joint Conference on Artificial Intelligence,
(pp. 1360-1366), Chambery, France. Morgan Kaufmann Publishers.
Abstract.
D. Opitz. ``A Knowledge-Based Ensemble Approach to Real-World Data Analysis,'' National Science Foundation (NSF) CAREER award; August 1998 - July 2002, $280,000.
C. Wideman, C. Link, T. Ahmed, R. Ford, A. Wright, M. Hendrix, K. Porter, and D. Opitz, ``Petroleum Reservoir Characterization,'' DOE - EPSCOR Research Cluster, UM portion October 1997 - September 1999: $330,326.
J. Bromenshenk, G. Smith, and D. Opitz; ``Engineered Bee Colonies: A Platform for Bioreporting and Seeking Agents of Harm;'' Space and Naval Warfare Systems Center; June 30, 1998 - June 30 1999; $873,743.
D. Opitz. ``Automated Text Filtering Query Refinement'', Montana's NSF EPSCoR Program (MONTS); May 1998 - May 1999; $25,000.
S. Basak, D. Hawkins, K. Lodge, D. Opitz, and K. Balasubramanian. ``Prediction of Health and Environmental Hazards of Chemicals,'' U.S. Air Force; July 1997 - June 2001, $803,802.
D. Opitz. ``Applying Neural Network Ensembles to Digital Image Analysis,'' Montana Space Grant Consortium; April 1997 - February 1998; $14,451.
