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Author Title Type [ Year(Asc)]
2005
J. Secretan, Georgiopoulos, M., Anagnostopoulos, G. C., Tapia, J., Chadha, A., and Huber, B., “Parallelizing the Fuzzy ARTMAP Algorithm on a Beowulf Clusters”, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN 2005), pp. 475–480, 2005.
J. Secretan, Castro, J., Chadha, A., Huber, B., Tapia, J., Georgiopoulos, M., Anagnostopoulos, G., and Richie, S., “Pipelining of ART architectures (FAM, EAM, GAM) without match-tracking (MT)”, in 2005 Artificial Neural Networks in Engineering, St. Louis, MI, 2005.
M. Zhong, Hecker, J., Maidhoff, I., Shibly, P., Georgiopoulos, M., Anagnostopoulos, G., and Mollaghasemi, M., “Probabilistic Neural Network: Comparisons of the Cross-Validation Approach and a Fast Heuristic to choose the Smoothing Parameters”, in 2005 Artificial Neural Networks in Engineering, St. Louis, MI, 2005.
G. C. Anagnostopoulos, Georgiopoulos, M., Ports, K., Richie, S., Cardinale, N., White, M., Kepuska, V., Chan, P. K., Wu, A., and Kysilka, M., “Project EMD-MLR: Educational Materials Development and Research in Machine Learning for Undergraduate students”, in the ASEE 2005 Annual Conference and Exposition, Portland, Oregon, 2005.
2004
A. J. Gonzalez, Gerber, W. J., DeMara, R. F., and Georgiopoulos, M., “Context-driven Near-term Intention Recognition”, Journal of Defense Modeling and Simulation, vol. 1.3, pp. 153–170, 2004.
M. Georgiopoulos, Castro, J., Gelenbe, E., DeMara, R., Gonzalez, A., and Kysilka, M., “CRCD Experiences at the University of Central Florida: An NSF Project”, Proceedings of the ASEE 2004 Annual Conference and Exposition, 2004.
J. Castro, Georgiopoulos, M., DeMara, R., and Gonzalez, A., “A data partitioning approach to speed the Fuzzy ARTMAP algorithm using the Hilbert space-filling curve”, pp. 2367–2372, 2004.
J. Klodzinski, Al-Daraiseh, A., Georgiopoulos, M., and Al-Deek, H. M., “Development of a java applet for generating truck trips from freight data”, Transportation Research Record No. 1870, pp. 10–17, 2004.
K. Reynolds, Kursun, O., Georgiopoulos, M., and Eaglin, R., “Development of an Artificial Intelligence Clustering Algorithm to Detect Auto Theft Recovery Patterns”, in GIS Symposium 2004, Troy, AL, 2004.
M. Mollaghasemi, Georgiopoulos, M., Cope, D., Donnelly, A., and Steele, M., “Educating Middle and High School Students in Space Operations”, in the 2004 Winter Simulation Conference, Washington, DC, 2004.
A. Meyer-Base, Jancke, K., Wissmuller, A., and Georgiopoulos, M., “Fast K-dimensional tree-structured vector quantization encoding method for image compression”, Optical Engineering Letters, vol. 43, pp. 1012-1013, 2004.
K. Carr, Cannava, K., Pescatore, R., Georgiopoulos, M., and Anagnostopoulos, G., “Fast Stable and on-line training of Fuzzy ARTMAP using a novel, conservative, slow learning strategy”, in ANNIE 2004 conference, St. Louis, MI, 2004.
K. Carr, Cannava, K., Pescatore, R., Georgiopoulos, M., and Anagnostopoulos, G. C., “Fast Stable and on-line training of Fuzzy ARTMAP using a novel,conservative,slow learning strategy”, Neural Networks, pp. 63–69, 2004.
J. Castro, Georgiopoulos, M., DeMara, R., and Gonzalez, A., “A Partitioned Fuzzy ARTMAP implementation for fast processing of large databases on sequential machines”, 2004.
G. G. M. M. A. J. H. J.J. Vargas, R.F. DeMara, “PDU Bundling and Replication for Reduction of Distributed Simulation Communication Traffic”, Methodology,Technology,Journal of Defense Modeling and Simulation: Applications, vol. 1.3, pp. 171–183, 2004.
J. J. Vargas, DeMara, R. F., Gonzalez, A. J., Georgiopoulos, M., and Marshall, H., “PDU Bundling and Replication for Reduction of Distributed Simulation Communication Traffic”, Journal of Defense Modeling and Simulation, vol. 1.3, pp. 171–183, 2004.
J. Castro, Secretan, J., Georgiopoulos, M., DeMara, R. F., Anagnostopoulos, G., and Gonzalez, A., “Pipelining of Fuzzy ARTMAP (FAM) without match-tracking”, in ANNIE 2004, St. Louis, MI, 2004.
2003
I. Russel, Georgiopoulos, M., Castro, J., Neller, T., McCracken, D., and Bouvier, D., “Condensing the CC-2001 core in an Integrated Curriculum”, in CCSCNE (Consortium for Computing in Small Colleges in the Northeast), Providence, RI, 2003.
M. Georgiopoulos, Russell, I., Castro, J., Wu, A., Kysilka, M., and DeMara, R., “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, 2003.
M. Georgiopoulos, Castro, J., Wu, A., DeMara, R., Gelenbe, E., and Gonzalez, A., “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, p. 249, 2003.
G. C. Anagnostopoulos, Bharadwaj, M., Georgiopoulos, M., Verzi, S., and Heileman, G., “Exemplar-based pattern recognition via semi-supervised learning”, Neural Networks, pp. 2782–2787, 2003.
M. Georgiopoulos, Anagnostopoulos, G. C., and Bharadwaj, M., “Experimental comparisons of semi-supervised and supervised ART classifiers”, in The 16th International Flairs Conference, St. Augustine, FL, 2003.
G. C. Anagnostopoulos and Georgiopoulos, M., “Putting the utility of match tracking in Fuzzy ARTMAP training to the test”, pp. 1–6, 2003.
R. C. Watkins, Reynolds, K. M., DeMara, R., Georgiopoulos, M., Gonzalez, A., and Eaglin, R., “TRACKING DIRTY PROCEEDS: EXPLORING DATA MINING TECHNOLOGIES AS TOOLS TO INVESTIGATE MONEY LAUNDERING”, Police Practice and Research, vol. 4.2, pp. 163–178, 2003.
S. Verzi, Heileman, G., Georgiopoulos, M., and Anagnostopoulos, G. C., “Universal approximation with Fuzzy ART and Fuzzy ARTMAP”, Neural Networks, pp. 1987–1992, 2003.
2002
G. C. Anagnostopoulos, Georgiopoulos, M., Verzi, S., and Heileman, G., “Boosted ellipsoid ARTMAP”, Proceedings of SPIE,Conference on Applications and Science of Computational Intelligence, vol. 4739, pp. 74–85, 2002.
G. C. Anagnostopoulos and Georgiopoulos, M., “Category regions as new geometrical concepts in Fuzzy-ART and Fuzzy-ARTMAP”, Neural Networks, vol. 15.10, pp. 1205-1221, 2002.
G. C. Anagnostopoulos and Georgiopoulos, M., “Ellipsoid ART/ARTMAP category regions for the choice-by-difference functions”, in Conference on Applications and Science of Computational Intelligence V, Orlando, FL, 2002.
G. C. Anagnostopoulos and Georgiopoulos, M., “Ellipsoid ART/ARTMAP category regions for the choice-by-difference functions”, Proceedings of SPIE,Conference on Applications and Science of Computational Intelligence V, vol. 4739, pp. 62–73, 2002.
D. Charalampidis, Anagnostopoulos, G. C., Georgiopoulos, M., and Kasparis, T., “Fuzzy ART and ARTMAP with adaptive weighted distances”, Proceedings of SPIE,Conference on Applications and Science of Computational Intelligence V, vol. 4739, pp. 86–97, 2002.
S. Verzi, Heileman, G. L., Georgiopoulos, M., and Anagnostopoulos, G. C., “Off-line structural risk minimization and BARTMAP-S”, in the 2002 International Joint Conference on Neural Networks, Honolulu, Hawaii, 2002.
S. Verzi, Heileman, G., Georgiopoulos, M., and Anagnostopoulos, G. C., “Off-line structural risk minimization and BARTMAP-S”, Neural Networks, pp. 2533–2538, 2002.
G. C. Anagnostopoulos, Georgiopoulos, M., Verzi, S., and Heileman, G., “Reducing generalization error and category proliferation in ellipsoid ARTMAP via tunable misclassification error tolerance: Boosted Ellipsoid ARTMAP”, Neural Networks, pp. 2650–2655, 2002.
2001
C. Christodoulou and Georgiopoulos, M., Applications of Neural Networks in Electromagnetics. Artech House, 2001, p. 512.
D. Chralampidis, Kasparis, T., and Georgiopoulos, M., “Classification of noisy signals using fuzzy ARTMAP neural networks”, Neural Networks, vol. 12.5, pp. 1023–1036, 2001.
F. Miwakeichi, Ramirez-Padron, R., and P. Valdes-Sosa, O. T., “A comparison of Non-linear Non-parametric Models for Epilepsy Data”, Computers in Biology and Medicine, vol. 31.1, pp. 41–57, 2001.
A. Henninger, Gonzalez, A., Georgiopoulos, M., and DeMara, R., “A connectionist-symbolic approach to modeling agents: Neural networks grouped by contexts”, Proceedings of the CONTEXT-01 Conference, pp. 198–209, 2001.
A. Koufakou, Georgiopoulos, M., Anagnostopoulos, G. C., and Kasparis, T., “Cross-validation in Fuzzy ARTMAP for large databases”, Neural Networks, vol. 14.9, pp. 1279-1291, 2001.
M. Georgiopoulos, Koufakou, A., Anagnostopoulos, G. C., and Kasparis, T., “Cross-Validation in Fuzzy ARTMAP Neural Networks for Large Sample Classification Problems”, Proceedings of SPIE; Applications and Science of Computational Intelligence IV, 2001.
G. C. Anagnostopoulos and Georgiopoulos, M., “Ellipsoid ART and ARTMAP for incremental clustering and classification”, Proceedings of the International Joint Conference on Neural Networks, pp. 1221–1226, 2001.
G. C. Anagnostopoulos and Georgiopoulos, M., “Ellipsoid ART and ARTMAP for incremental unsupervised and supervised Learning”, Proceedings of SPIE; Conference on Applications and Science of Computational Intelligence IV, pp. 293–304, 2001.
G. Anagnostopoulos and Georgiopoulos, M., “Ellipsoidal ART and ARTMAP for incremental unsupervised and supervised learning”, in Conference on Applications and Science of Computational Intelligence IV, Orlando, FL, 2001.
M. J. Johnson, Georgiopoulos, M., Mollaghasemi, M., and McGinnis, M., “Improving human behavior in simulations – OneSAF tested baseline intelligent computer generated objects”, in SCS, Military, Government and Aerospace Simulation Symposium 2001 (MGA 2001) Conference, Seattle, Washington, 2001.
A. Henninger, Gonzalez, A., Georgiopoulos, M., and DeMara, R., “The Limitations of Static Performance Metrics for Dynamic Tasks Learned Through Observation”, Proceedings of the Tenth Conference on Computer Generated Forces and Behavioral Representation, pp. 147–154, 2001.
M. J. Johnson, Mollaghasemi, M., Georgiopoulos, M., and McGinnis, M., “A methodology for human behavior modeling in computer generated forces”, in Industrial Engineering Research Conference 2001 (IERC 2001), Dallas, TX, 2001.
G. C. Anagnostopoulos and Georgiopoulos, M., “New Geometrical Concepts in Fuzzy-ART and Fuzzy-ARTMAP: Category Regions”, IEEE-INNS International Joint Conference on Neural Networks (IJCNN 2001), pp. 32–37, 2001.
G. C. Anagnostopoulos and Georgiopoulos, M., “New geometrical perspective of fuzzy ART and fuzzy ARTMAP learning”, Proceedings of SPIE; Conference on Applications and Science of Computational Intelligence IV, pp. 22–32, 2001.
M. Georgiopoulos, Koufakou, A., Anagnostopoulos, G. C., and Kasparis, T., “Over-training in Fuzzy ARTMAP: Myth or Reality?”, Proceedings of the International Joint Conference on Neural Networks, pp. 1186–1190, 2001.
S. J. Verzi, Heileman, G. L., Georgiopoulos, M., and Healy, M. J., “Rademacher penalization applied to Fuzzy ARTMAP and Boosted ARTMAP”, Proceedings of the International Joint Conference on Neural Networks, pp. 1191–1196, 2001.
W. J. Park, Jones, L., Charalampidis, D., Kasparis, T., and Georgiopoulos, M., “Sea-Ice extent classification using active/passive microwave measurements from QuickScat”, in AGU Spring meeting, Washington DC, 2001.
T. Kasparis, Charalampidis, D., Georgiopoulos, M., and Rolland, J. P., “Segmentation of textured images based on fractals and image filtering”, Pattern Recognition, vol. 34.10, pp. 1963–1973, 2001.
T. Kasparis, Charalampidis, D., Georgiopoulos, M., and Rolland, J. P., “Segmentation of textured images based on fractals and image filtering”, Pattern Recognition, vol. 34.10, pp. 1963–1978, 2001.
C. Christodoulou and Georgiopoulos, M., “Smart adaptive array antennas for wireless communcations”, Proceedings of SPIE; Conference on Digital Wireless Communication III, pp. 75–83, 2001.
2000
D. Charalampidis, Georgiopoulos, M., and Kasparis, T., “Classification of noisy signals using Fuzzy ARTMAP neural networks”, in the International Joint Conference on Neural Networks, Como, Italy, 2000.
D. Charalampidism, Georgiopoulos, M., and Kasparis, T., “Classification of Noisy Signals Using Fuzzy ARTMAP Neural Networks”, Proceedings of the International Joint Conference on Neural Networks (IJCNN), pp. 53–58, 2000.
G. Bebis, Uthiram, S., and Georgiopoulos, M., “Face detection and verification using genetic search”, International Jornal on Artificial Intelligence Tools, vol. 9.2, pp. 225–245, 2000.
A. Henninger, Gonzalez, A., Gerber, W., Georgiopoulos, M., and DeMara, R., “On the Fidelity of SAFs: Can performance data help?”, Proceedings of the 2000 Interservice/Industry Training,Simulation and Education Conference (I/ITSEC-2000), pp. 147–154, 2000.
G. C. Anagnostopoulos and Georgiopoulos, M., “Hypershere ART and ARTMAP for unsupervised and supervised incremental learning”, in the International Joint Conference on Neural Networks, Como, Italy, 2000.
G. C. Anagnostopoulos and Georgiopoulos, M., “Hypersphere ART and ARTMAP for Unsupervised and Supervised,Incremental Learning”, Proceedings of the International Joint Conference on Neural Networks (IJCNN), pp. 59–64, 2000.
A. Henninger, Gonzalez, A., Georgiopoulos, M., and DeMara, R., “Modeling Semi-Automated Forces with Neural Networks: Performance Improvement through a Modular Approach”, 2000.
C. Christodoulou, Georgiopoulos, M., and Zooghby, E. A., “Multiple Source Angle of Arrival Estimation using Neural-Network-based Smart Antennas”, Proceedings SPIE; Conference on Digital Wireless Communications II, pp. 94–99, 2000.
A. H. Zooghby, Christodoulou, C. G., and Georgiopoulos, M., “A Neural Network-Based Smart Antenna for Multiple Source Tracking”, IEEE Transactions on Antennas and Propagation, vol. 48.5, pp. 768–776, 2000.
D. Charalampidis, Kasparis, T., Jones, W. L., and Georgiopoulos, M., “Use of multi-fractals to detect anomalous propagation (AP) in weather data”, in Proceedings SPIE; Conference on Signals and Data Processing of Small Targets, Orlando, FL, 2000.
1999
G. Bebis, Deaconu, T., and Georgiopoulos, M., “Fingerprint identification using Delaunay triangulation”, IEEE International Conference on Information,Intelligence and Systems, pp. 452–459, 1999.
D. Charalampidis, Kasparis, T., Georgiopoulos, M., and Rolland, J., “A Fuzzy ARTMAP based classification of natural textures”, Proceedings of the 18th International Conference of the North American Fuzzy Information Processing Society, pp. 507–511, 1999.
G. Bebis, Uthiram, S., and Georgiopoulos, M., “Genetic Search for Face Detection and Verification”, IEEE International Conference on Information,Intelligence and Systems, pp. 360–367, 1999.
G. Bebis, Georgiopoulos, M., da Lobo, V. N., and Shah, M., “Learning affine transformations”, Pattern Recognition, vol. 32.10, pp. 1783–1799, 1999.
E. A. H. Zooghby, Christodoulou, C. G., and Georgiopoulos, M., “Multiple mobile user tracking with neural network-based adaptive array antennas”, SPIE Conference on Digital Wireless Communications, pp. 88–97, 1999.
C. G. Christodoulou, Zooghby, E. A. H., and Georgiopoulos, M., “Neural network processing for adaptive array antennas”, IEEE Antennas and Propagation Society International Symposium, pp. 2584–2587, 1999.
E. A. H. Zooghby, Christodoulou, C., and Georgiopoulos, M., “A neural-network-based linearly constrained minimum variance beamformer”, Microwave and Optical Technology Letters, vol. 21.6, pp. 451–455, 1999.
H. G. L. I. Dagher, M. Georgiopoulos, “An Ordering Algorithm for Pattern Presentation in Fuzzy ARTMAP That Tends to Improve Generalization Performance”, IEEE Transactions on Neural Networks, vol. 10.4, pp. 768–778, 1999.
M. Georgiopoulos, Dagher, I., Heileman, G. L., and Bebis, G., “Properties of Learning of a Fuzzy ART Variant”, Neural Networks, vol. 12.6, pp. 837–850, 1999.
1998
E. A. H. Zooghby, Christodoulou, C. G., and Georgiopoulos, M., “Adaptive interference cancellation in circular arrays with radialbasis function neural networks”, IEEE Antennas and Propagation Society International Symposium, 1998.
A. H. E. Zooghby, Christodoulou, C. G., and Georgiopoulos, M., “Adaptive interference cancellation with neural networks”, in 1998 Virginia Tech Symposium on Wireless Personal Communications, 1998.
G. Bebis, Georgiopoulos, M., Shah, M., and da Lobo, V. N., “Algebraic functions of views for indexing-based object recognition”, in Proceedings of the Sixth International Conference, India, 1998.
M. Mollaghasemi, LeCroy, K., and Georgiopoulos, M., “Application of neural networks and simulation modeling in manufacturing system design”, INTERFACES, vol. 28, pp. 100-114, 1998.
A. J. Gonzaleza, Georgiopoulos, M., DeMara, R. F., Henninger, A., and Gerber, W., “Automating the CGF Model Development and Refinement Process by Observing Expert Behavior in a Simulation”, 7th Conference on Computer Generated Forces and Behavioral Representation, 1998.
A. Henninger, Gerber, W., DeMara, R., Georgiopoulos, M., and Gonzalez, A., “Behavior Modeling Framework for Embedded Simulation”, Interservice/Industry Training,Simulation & Education Conference (I/ITSEC 98), pp. 655–662, 1998.
S. J. Verzi, Heileman, G. L., Georgiopoulos, M., and Healy, M. J., “Boosted ARTMAP”, IEEE International Joint Conference on Neural Networks, pp. 396–401, 1998.
I. Dagher, Georgiopoulos, M., Heileman, G., and Bebis, G., “Fuzzy ARTVar: An Improved Fuzzy ARTMAP Algorithm”, International Joint Conference on Neural Networks, pp. 1688–1693, 1998.
G. Bebis, Georgiopoulos, M., Shah, M., and da Lobo, V. N., “Indexing Based on Algebraic Functions of Views”, Computer Vision and Image Understanding, vol. 72.3, pp. 360–378, 1998.
E. A. H. Zooghby, Christodoulou, C. G., and Georgiopoulos, M., “Multiple sources neural network direction finding with arbitrary separations”, IEEE-APS Conference on Antennas and Propagation for Wireless Communications, pp. 57–60, 1998.
E. A. Zooghby, Christodoulou, C. G., and Georgiopoulos, M., “Neural Network based beamforming for interference cancellation”, Conference on Applications and Science of Computational Intelligence, pp. 420–429, 1998.
E. A. H. Zooghby, Christodoulou, C., and Georgiopoulos, M., “Neural Network-Based Adaptive Beamforming for One- and Two-Dimensional Antenna Arrays”, IEEE Transactions on Antennas and Propagation, vol. 46.1, pp. 1891–1893, 1998.
A. H. E. Zooghby, Christodoulou, C. G., and Georgiopoulos, M., “Neural network-based adaptive beamforming for one- and two-dimensional antenna arrays”, IEEE Transactions on Antennas and Propagation, vol. 46, pp. 1891-1893, 1998.
A. H. Zooghby, Christodoulou, C. G., and Georgiopoulos, M., “A novel approach to adaptive nulling with neural networks”, Southeastcon, pp. 216–219, 1998.
I. Dagher, Georgiopoulos, M., Heileman, G. L., and Bebis, G., “Ordered fuzzy ARTMAP: a fuzzy ARTMAP algorithm with a fixed order of pattern presentation”, IEEE International Joint Conference on Neural Networks, pp. 1717–1722, 1998.
E. A. H. Zooghby, Christodoulou, C. G., and Georgiopoulos, M., “Radial basis function neural network algorithm for adaptivebeamforming in cellular communication systems”, IEEE-APS Conference on Antennas and Propagation for Wireless Communications, pp. 53–56, 1998.
M. Georgiopoulos, Skarman, S., and Gonzalez, A. J., “Short-term electric load forecasting using a Fuzzy ARTMAP neural network”, in Conference on Applications and Science of Computational Intelligence, Orlando, FL, 1998.
S. E. Skarman, Georgiopoulos, M., and Gonzalez, A. J., “Short-term electrical load forecasting using a fuzzy ARTMAP neural network”, Conference on Applications and Science of Computational Intelligence, pp. 181-191, 1998.
D. Charalampidis, Kasparis, T., and Georgiopoulos, M., “Texture classification using ART-based neural networks and Fractals”, SPIE Conference on Signal Processing,Sensor Fusion,and Target Recognition VII, pp. 212–222, 1998.
G. Bebis, Georgiopoulos, M., Shah, M., and da Lobo, V. N., “Using Algebraic Functions of Views for Indexing-Based Object Recognition”, International Conference on Computer Vision, pp. 634–639, 1998.
G. Bebis, Georgiopoulos, M., and da Lobo, V. N., “Using Self-Organizing Maps to Learn Geometric Hash Functions for Model-Based Object Recognition”, IEEE Transactions on Neural Networks, vol. 9.3, pp. 560–570, 1998.
G. Bebis, Georgiopoulos, M., and da Lobo, V. N., “Using self-organizing maps to learn geometric hash functions for model-based object recognition”, IEEE Transactions on Neural Networks, vol. 9, pp. 560-570, 1998.
A. J. Gonzalez, DeMara, R. F., and Georgiopoulos, M., “Vehicle model generation and optimization for embedded simulation”, Simulation Interoperability Workshop, pp. 206–213, 1998.
1997
G. Bebis, Georgiopoulos, M., and Kasparis, T., “Coupling weight elimination with genetic algorithms to reduce network size and preserve generalization”, Neurocomputing, pp. 167–194, 1997.
G. C. Anagnostopoulos, Georgiopoulos, M., Nickerson, D., and Bebis, G., “Ensembles of hybrid intelligent experts”, in 1997 IEEE International Conference on Systems, Man, and Cybernetics, Orlando, FL, 1997.
M. Georgiopoulos, Dagher, I., Heileman, G. L., and Bebis, G., “The generalization capabilities of ARTMAP”, in International Conference on Neural Networks, Houston, TX, 1997.
H. Bahr, Georgiopoulos, M., and DeMara, R., “Integer-encoded massively parallel processing of fast learning Fuzzy ARTMAP neural networks”, in Proceedings SPIE; Conference of Applications and Science of Artificial Neural Networks III, Orlando, FL, 1997.
G. Bebis, Georgiopoulos, M., and Bhatia, S., “Learning orthographic transformations for object recognition”, in 1997 IEEE International Conference on Systems, Man, and Cybernetics, Orlando, FL, 1997.

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