Publications

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Bahr, H., M. Georgiopoulos, and R. DeMara, "Integer-encoded massively parallel processing of fast learning Fuzzy ARTMAP neural networks", Proceedings SPIE; Conference of Applications and Science of Artificial Neural Networks III, Orlando, FL, April 21-24,1997.
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Castro, J., M. Georgiopoulos, R. DeMara, and A. Gonzalez, "Data-partitioning using the Hilbert space filling curves Effect on the speed of convergence of Fuzzy ARTMAP for large database problems", Neural Networks, vol. 18, pp. 967-984, 2005.
Castro, J., M. Georgiopoulos, R. DeMara, and A. Gonzalez, A data partitioning approach to speed the Fuzzy ARTMAP algorithm using the Hilbert space-filling curve, , Budapest,Hungary, pp. 2367–2372, July, 2004.
Castro, J., M. Georgiopoulos, R. DeMara, and A. Gonzalez, "Data-partitioning using the Hilbert space filling curves: Effect on the speed of convergence of Fuzzy ARTMAP for large database problems", Neural Networks, vol. 18.7, pp. 967–984, 2005.
Castro, J., M. Georgiopoulos, R. DeMara, and A. Gonzalez, A Partitioned Fuzzy ARTMAP implementation for fast processing of large databases on sequential machines, , Miami Beach,FL,USA, May, 2004.
Castro, J., M. Georgiopoulos, J. Secretan, R. DeMara, G. C. Anagnostopoulos, and A. Gonzalez, "Parallelization of Fuzzy ARTMAP to improve its convergence speed: The network partitioning approach and the data partitioning approach", Nonlinear Analysis: Theory,Methods and Applications, vol. 63.5-7, pp. e877–e889, 2005.
Castro, J., J. Secretan, M. Georgiopoulos, R. DeMara, G. C. Anagnostopoulos, and A. Gonzalez, "Pipelining of Fuzzy ARTMAP without Matchtracking: Correctness,Performance Bound and Beowulf Evaluation", Neural Networks, vol. 20.1, pp. 109–128, 2007.
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Fernlund, H. K., A. J. Gonzalez, M. Georgiopoulos, and R. DeMara, "Learning tactical human behavior through observation of human performance", Cybernetics–Part B: Cybernetics,Man,IEEE Transactions on Systems, vol. 36.1, pp. 128–140, 2006.
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Georgiopoulos, M., J. Castro, E. Gelenbe, R. DeMara, A. Gonzalez, and M. Kysilka, "CRCD Experiences at the University of Central Florida: An NSF Project", Proceedings of the ASEE 2004 Annual Conference and Exposition, Salt Lake City,UT, June, 2004.
Georgiopoulos, M., E. Gelenbe, R. DeMara, A. Gonzalez, M. Mollaghasemi, A. Wu, I. Russell, G. Anagnostopoulos, and J. Secretan, "Assessing and Evaluating our progress on the CRCD Experiences at the University of Central Florida: An NSF Project", 2006 ASEE, Chicago, Illinois, June 18-21,2006.
Georgiopoulos, M., J. Castro, A. Wu, R. DeMara, E. Gelenbe, and A. Gonzalez, "CRCD in machine learning at the University of Central Florida preliminary experiences", Proceedings of the 8th annual conference on Innovation and Technology in Computer Science Education, Thessaloniki,Greece, pp. 249, June, 2003.
Georgiopoulos, M., E. Gelenbe, R. DeMara, A. Gonzalez, M. Kysilka, M. Mollaghasemi, A. Wu, I. Russell, G. Anagnostopoulos, and J. Secretan, "CRCD Experiences at the University of Central Florida: An NSF Project", the ASEE 2005 Annual Conference and Exposition, Portland Oregon, June 12-15 2005.
Georgiopoulos, M., E. Gelenbe, R. DeMara, A. Gonzalez, M. Mollaghasemi, A. Wu, I. Russell, G. Anagnostopoulos, and J. Secretan, Assessing and Evaluating our progress on the CRCD Experiences at the University of Central Florida: An NSF Project, , 2006.
Georgiopoulos, M., I. Russell, J. Castro, A. Wu, M. Kysilka, and R. DeMara, "A CRCD Experience: Integrating machine learning modules into introductory engineering and science programming courses", Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition, Nashville,TN, June, 2003.
Gonzalez, A., M. Georgiopoulos, and R. DeMara, "Using Context-Based Neural Networks to Maintain Coherence Among Entities’ States in a Distributed Simulation", The Journal of Defense Modeling and Simulation, vol. 4, no. 2, pp. 147-172, 2007.
Gonzalez, A., M. Georgiopoulos, and R. DeMara, "Using context-based neural networks to maintain coherence in distributed simulations", The Journal of Defense Modeling and Simulation , vol. 4, no. 2, pp. 417-172, 2007.
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Henninger, A., A. Gonzalez, W. Gerber, M. Georgiopoulos, and R. DeMara, "On the Fidelity of SAFs: Can performance data help?", Proceedings of the 2000 Interservice/Industry Training,Simulation and Education Conference (I/ITSEC-2000), Orlando, pp. 147–154, December, 2000.
Henninger, A., A. Gonzalez, M. Georgiopoulos, and R. DeMara, "The Limitations of Static Performance Metrics for Dynamic Tasks Learned Through Observation", Proceedings of the Tenth Conference on Computer Generated Forces and Behavioral Representation, Virginia,USA, pp. 147–154, May, 2001.
Henninger, A., W. Gerber, R. DeMara, M. Georgiopoulos, and A. Gonzalez, "Behavior Modeling Framework for Embedded Simulation", Interservice/Industry Training,Simulation & Education Conference (I/ITSEC 98), Orlando,FL,USA, pp. 655–662, December, 1998.
Henninger, A., A. Gonzalez, M. Georgiopoulos, and R. DeMara, "A connectionist-symbolic approach to modeling agents: Neural networks grouped by contexts", Proceedings of the CONTEXT-01 Conference, Dundee,Scotland, pp. 198–209, July, 2001.
Henninger, A., A. Gonzalez, M. Georgiopoulos, and R. DeMara, Modeling Semi-Automated Forces with Neural Networks: Performance Improvement through a Modular Approach, , Orlando,FL, May, 2000.
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Watkins, R. C., K. M. Reynolds, R. DeMara, M. Georgiopoulos, A. Gonzalez, and R. Eaglin, "TRACKING DIRTY PROCEEDS: EXPLORING DATA MINING TECHNOLOGIES AS TOOLS TO INVESTIGATE MONEY LAUNDERING", Police Practice and Research, vol. 4.2, pp. 163–178, 2003.