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Main Contact Information Research Publications Biosketch Teaching Machine Learning and Inference Laboratory Department of Health Administration and Policy |
Janusz Wojtusiak - List of Publications Wojtusiak, J., Michalski, R. S., Simanivanh, T. and Baranova, A. V., "Towards application of rule learning to the meta-analysis of clinical data: An example of the metabolic syndrome," International Journal of Medical Informatics, 2009 (in press, available online). Wojtusiak, J., Zurada, J. M., Malof, J.M., Mehta, D. and Moidu, K., "Toward VO-based Collaboration between Computational Intelligence - Machine Learning and Healthcare Communities," Recent Advances in Intelligent Information Systems, Klopotek, M.A., Przepiorkowski, A, Wierzchon, S.T. and Trojanowski, K. (Eds.), 507-518, Academic Publishing House EXIT, 2009. Mehta, D., Perchansky, K., Wojtusiak, J., Moidu, K. and He, Z., "Microaspiration from Gastroesophageal Reflux Is Common in Children with Asthma," Poster at Pediatric Academic Societies Annual Meeting, Baltimore, MD, May 2-5, 2009. Wojtusiak, J., "The LEM3 System for Multitype Evolutionary Optimization," Computing and Informatics, 28, pp. 225-236, 2009. Zurada, J. M., Mazurowski, M.A., Abdullin, A., Ragade, R., Wojtusiak, J. and Gentle, J. E., "Building Virtual Community in Computational Intelligence and Machine Learning," Computational Intelligence Magazine, 4, 1, pp. 43-54, 2009. Mazurowski, M.A., Zurada, J. M., Wojtusiak, J., Ragade, R., Gentle, J. E. and Abdullin, A., Workshop on Building Computational Intelligence and Machine Learning Virtual Organizations, George Mason University, Fairfax, VA, October 24, 2008. Zurada, J. M., Wojtusiak, J., Mazurowski, M.A., Mehta, D., Moidu, K. and Margolis, S., "Toward Multidisciplinary Collaboration in the CIML Virtual Community," Workshop on Building Computational Intelligence and Machine Learning Virtual Organizations, George Mason University, Fairfax, VA, pp. 62-66, October 24, 2008. Boyle, C., Abdullin, A., Ragade, R., Mazurowski, M.A., Wojtusiak, J. and Zurada, J. M., "Workflow considerations in the emerging CI-ML virtual organization," Workshop on Building Computational Intelligence and Machine Learning Virtual Organizations, George Mason University, Fairfax, VA, pp. 67-70, October 24, 2008. Gehrke, J.D. and Wojtusiak, J., "Traffic Prediction for Agent Route Planning," Proceedings of the International Conference on Computational Science, Krakow, Poland, Lecture Notes in Computer Science, Springer, 2008. Wojtusiak, J., "Data-driven Constructive Induction in the Learnable Evolution Model," Proceedings of the 16th International Conference Intelligent Information Systems, Zakopane, Poland, June 16-18, 2008. Pietrzykowski, J. and Wojtusiak, J., "Learning Attributional Ruletrees," Proceedings of the 16th International Conference Intelligent Information Systems, Zakopane, Poland, June 16-18, 2008. Zurada, J. M., Wojtusiak, J., Chowdhury, F., Gentle, J. E., Jeannot, C. and Mazurowski, M.A., "Computational Intelligence Virtual Community: Framework and Implementation Issues," Proceedings of the IEEE World Congress on Computational Intelligence, Hong Kong, June 1-6, 2008. Michalski, R. S. and Wojtusiak, J., "The Distribution Approximation Approach to Learning from Aggregated Data," Reports of the Machine Learning and Inference Laboratory, MLI 08-2, George Mason University, Fairfax, VA, 2008. Gehrke J. D. and Wojtusiak, J., "A Natural Induction Approach to Traffic Prediction for Autonomous Agent-based Vehicle Route Planning," Reports of the Machine Learning and Inference Laboratory, MLI 08-1, George Mason University, Fairfax, VA, February 17, 2008. Zurada, J. M., Wojtusiak, J., Gentle, J. E., Chowdhury, F., Ragade, R. and Jeannot, C., "Computational Intelligence and Machine Learning Virtual Infrastructure Network (CIMLVIN)," Poster at the National Science Foundation Workshop on Building Effective Virtual Organizations, Washington, D.C., January 14-16, 2008. Wojtusiak, J. and Michalski, R. S., "Analyzing Diaries for Analytical Relapse Prevention Using Natural Induction: A Method and Preliminary Results," Quality Management in Health Care, 17, 2008. Wojtusiak, J., "Handling Constrained Optimization Problems and Using Constructive Induction to Improve Representation Spaces in Learnable Evolution Model," SIGEVOlution, Dissertation Corner, 2(3), 24-25, Autumn, 2007. Wojtusiak, J. and Michalski, R. S., Simanivanh, M., and Baranova, A.V. "The Natural Induction System AQ21 and Its Application to Data Describing Patients with Metabolic Syndrome: Initial Results," International Conference on Machine Learning and Applications, ICMLA, Cincinnati, OH, 2007. Wojtusiak, J., "Handling Constrained Optimization Problems and Using Constructive Induction to Improve Representation Spaces in Learnable Evolution Model," Ph.D. Dissertation, College of Science, Reports of the Machine Learning and Inference Laboratory, MLI 0-3, George Mason University, Fairfax, VA, November, 2007. Kaufman, K., Michalski, R. S., Pietrzykowski, J. and Wojtusiak, J., "An Integrated Multi-task Inductive Database and Decision Support System VINLEN: Initial Implementation and Early Results," In Knowledge Discovery in Inductive Databases, Lecture Notes in Computer Science, 4747, Springer, 2007. Michalski R.S. and Wojtusiak J., "Generalizing Data in Natural Language," Proceedings of the International Conference Rough Sets and Emerging Intelligent Systems Paradigms, RSEISP'07, Lecture Notes in Computer Science, 4585, Springer, 2007. Michalski, R. S., Wojtusiak, J. and Kaufman, K., "Progress Report on the Learnable Evolution Model," Reports of the Machine Learning and Inference Laboratory, MLI 07-2, George Mason University, Fairfax, VA, 2007. Michalski, R. S. and Wojtusiak, J., "Semantic and Syntactic Attribute Types in AQ Learning," Reports of the Machine Learning and Inference Laboratory, MLI 07-1, George Mason University, Fairfax, VA, 2007. Michalski, R. S., Wojtusiak, J. and Kaufman, K., "Intelligent Optimization via Learnable Evolution Model," Proceedings of The 18th IEEE International Conference on Tools with Artificial Intelligence, Washington D.C., November 13-15, 2006. Wojtusiak, J., Michalski, R. S., Kaufman, K. and Pietrzykowski, J., "The AQ21 Natural Induction Program for Pattern Discovery: Initial Version and its Novel Features," Proceedings of The 18th IEEE International Conference on Tools with Artificial Intelligence, Washington D.C., November 13-15, 2006 . Kaufman, K., Michalski, R. S., Pietrzykowski, J. and Wojtusiak, J., "An Integrated Multi-task Inductive Database and Decision Support System VINLEN: An Initial Implementation and First Results," Proceedings of The 5th International Workshop on Knowledge Discovery in Inductive Databases, KDID'06, in conjunction with ECML/PKDD, Berlin, Germany, September 18, 2006. Wojtusiak, J. and Michalski, R.S., "The LEM3 Implementation of Learnable Evolution Model and Its Testing on Complex Function Optimization Problems," Proceedings of Genetic and Evolutionary Computation Conference, GECCO-2006, 2006. Wojtusiak, J., "Initial Study on Handling Constrained Optimization Problems in Learnable Evolution Model," Proceedings of Graduate Student Workshop at Genetic and Evolutionary Computation Conference, GECCO-2006, 2006. Michalski, R. S., Kaufman, K. A., Pietrzykowski, J., Sniezynski, B., Wojtusiak, J., "Learning Symbolic User Models for Intrusion Detection: A Method and Initial Results," Proccedings of New Trends in Intelligent Information Processing and Web Mining Conference, Ustron, Poland, June 19-22, Advances in Soft Computing, 35, pp. 273-285, Springer, 2006. Wojtusiak, J. and Michalski, R. S., "The Use of Compound Attributes in AQ Learning," Proccedings of New Trends in Intelligent Information Processing and Web Mining Conference, Ustron, Poland, June 19-22, Advances in Soft Computing, 35, pp. 189-198, Springer, 2006. Michalski, R. S., Kaufman, K., Pietrzykowski, J., Wojtusiak, J., Mitchell, S. and Seeman, W.D., "Natural Induction and Conceptual Clustering: A Review of Applications," Reports of the Machine Learning and Inference Laboratory, MLI 06-3, George Mason University, Fairfax, VA, June, 2006. Wojtusiak, J., Michalski, R. S., Kaufman, K. and Pietrzykowski, J., "Multitype Pattern Discovery Via AQ21: A Brief Description of the Method and Its Novel Features," Reports of the Machine Learning and Inference Laboratory, MLI 06-2, George Mason University, Fairfax, VA, 2006. Michalski, R. S., Kaufman, K., Pietrzykowski, J., Sniezynski, B. and Wojtusiak, J., "Learning User Models for Computer Intrusion Detection: Preliminary Results from Natural Induction Approach," Reports of the Machine Learning and Inference Laboratory, MLI 05-3, George Mason University, Fairfax, VA, November, 2005. Wojtusiak, J. and Michalski, R. S., "The LEM3 System for Non-Darwinian Evolutionary Computation and Its Application to Complex Function Optimization," Reports of the Machine Learning and Inference Laboratory, MLI 05-2, George Mason University, Fairfax, VA, October, 2005. Michalski, R. S. and Wojtusiak, J., "Reasoning with Missing, Not-applicable and Irrelevant Meta-values in Concept Learning and Pattern Discovery," Technical Report 2005-02, Collaborative Research Center 637, University of Bremen, Germany, July 2005. Michalski, R. S. and Wojtusiak, J., "Reasoning with Meta-values in AQ Learning," Reports of the Machine Learning and Inference Laboratory, MLI 05-1, George Mason University, Fairfax, VA, June, 2005. Wojtusiak, J., "The LEM3 Implementation of Learnable Evolution Model: User's Guide," Reports of the Machine Learning and Inference Laboratory, MLI 04-5, George Mason University, Fairfax, VA, November, 2004. Wojtusiak, J., "AQ21 User's Guide," Reports of the Machine Learning and Inference Laboratory, MLI 04-3, George Mason University, Fairfax, VA, September, 2004. Wojtusiak, J., "Use of Artificial Intelligence Methods for Analyzing Results of Simulation of Life Strategies' Evolution," (in Polish: Zastosowanie Metod Sztucznej Inteligencji do Analizy Wynikow Symulacji Ewolucji Strategii Zyciowych), M.S. Thesis, Institute of Computer Science, Jagiellonian University, 2001. Kolodziej J., Gwizdala R., Wojtusiak J., "Hierarchical Genetic Strategy as a Method of Improving Search Efficiency," Advances in Multi-Agent Systems, R. Schaefer and S. Sedziwy (Eds.), Chapter 9, pp. 149-161, Jagiellonian University Press, 2001. Schaefer R., Kolodziej J., Gwizdala R., Wojtusiak J., "How Simpletons Can Increase the Community Development - An Attempt to Hierarchical Genetic Computation," Proc. of the 4-th Polish Conf. on Evolutionary Algorithms, pp. 187-199, Ladek Zdroj, 2000. |
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