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C

Castro, J, Secretan J, Georgiopoulos M, DeMara R, Anagnostopoulos GC, Gonzalez A. 2007. Pipelining of Fuzzy ARTMAP without Matchtracking: Correctness,Performance Bound and Beowulf Evaluation. Neural Networks. 20.1:109–128.

Castro, J, Georgiopoulos M, Secretan J, DeMara R, Anagnostopoulos GC, Gonzalez A. 2005. Parallelization of Fuzzy ARTMAP to improve its convergence speed: The network partitioning approach and the data partitioning approach. Nonlinear Analysis: Theory,Methods and Applications. 63.5-7:e877–e889.

Castro, J, Georgiopoulos M, DeMara R, Gonzalez A. 2004. A data partitioning approach to speed the Fuzzy ARTMAP algorithm using the Hilbert space-filling curve. :2367–2372.

Castro, J, Georgiopoulos M, DeMara R, Gonzalez A. 2005. Data-partitioning using the Hilbert space filling curves Effect on the speed of convergence of Fuzzy ARTMAP for large database problems. Neural Networks. 18:967-984.

Castro, J, Secretan J, Georgiopoulos M, DeMara RF, Anagnostopoulos G, Gonzalez A. 2004. Pipelining of Fuzzy ARTMAP (FAM) without match-tracking. ANNIE 2004.

Castro, J, Georgiopoulos M, DeMara R, Gonzalez A. 2005. Data-partitioning using the Hilbert space filling curves: Effect on the speed of convergence of Fuzzy ARTMAP for large database problems. Neural Networks. 18.7:967–984.

Castro, J, Georgiopoulos M, DeMara R, Gonzalez A. 2004. A Partitioned Fuzzy ARTMAP implementation for fast processing of large databases on sequential machines.

G

Georgiopoulos, M, Gelenbe E, DeMara R, Gonzalez A, Mollaghasemi M, Wu A, Russell I, Anagnostopoulos G, Secretan J. 2006. Assessing and Evaluating our progress on the CRCD Experiences at the University of Central Florida: An NSF Project.

Georgiopoulos, M, Gelenbe E, DeMara R, Gonzalez A, Kysilka M, Mollaghasemi M, Wu A, Russell I, Anagnostopoulos G, Secretan J. 2005. CRCD Experiences at the University of Central Florida: An NSF Project. the ASEE 2005 Annual Conference and Exposition.

Georgiopoulos, M, Castro J, Gelenbe E, DeMara R, Gonzalez A, Kysilka M. 2004. CRCD Experiences at the University of Central Florida: An NSF Project. Proceedings of the ASEE 2004 Annual Conference and Exposition.

Georgiopoulos, M, Gelenbe E, DeMara R, Gonzalez A, Mollaghasemi M, Wu A, Russell I, Anagnostopoulos G, Secretan J. 2006. Assessing and Evaluating our progress on the CRCD Experiences at the University of Central Florida: An NSF Project. 2006 ASEE.

Georgiopoulos, M, Castro J, Wu A, DeMara R, Gelenbe E, Gonzalez A. 2003. 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. :249.

Gonzalez, A, Georgiopoulos M, DeMara R. 2007. Using context-based neural networks to maintain coherence in distributed simulations. The Journal of Defense Modeling and Simulation. 4:417-172.

Gonzalez, A, Georgiopoulos M, DeMara R. 2007. Using Context-Based Neural Networks to Maintain Coherence Among Entities’ States in a Distributed Simulation. The Journal of Defense Modeling and Simulation. 4:147-172.

H

Henninger, A, Gonzalez A, Georgiopoulos M, DeMara R. 2000. Modeling Semi-Automated Forces with Neural Networks: Performance Improvement through a Modular Approach.

Henninger, A, Gonzalez A, Gerber W, Georgiopoulos M, DeMara R. 2000. On the Fidelity of SAFs: Can performance data help? Proceedings of the 2000 Interservice/Industry Training,Simulation and Education Conference (I/ITSEC-2000). :147–154.

Henninger, A, Gonzalez A, Georgiopoulos M, DeMara R. 2001. The Limitations of Static Performance Metrics for Dynamic Tasks Learned Through Observation. Proceedings of the Tenth Conference on Computer Generated Forces and Behavioral Representation. :147–154.

Henninger, A, Gerber W, DeMara R, Georgiopoulos M, Gonzalez A. 1998. Behavior Modeling Framework for Embedded Simulation. Interservice/Industry Training,Simulation & Education Conference (I/ITSEC 98). :655–662.

Henninger, A, Gonzalez A, Georgiopoulos M, DeMara R. 2001. A connectionist-symbolic approach to modeling agents: Neural networks grouped by contexts. Proceedings of the CONTEXT-01 Conference. :198–209.

W

Watkins, RC, Reynolds KM, DeMara R, Georgiopoulos M, Gonzalez A, Eaglin R. 2003. TRACKING DIRTY PROCEEDS: EXPLORING DATA MINING TECHNOLOGIES AS TOOLS TO INVESTIGATE MONEY LAUNDERING. Police Practice and Research. 4.2:163–178.