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Author Title [ Type(Desc)] Year
Conference Paper
Y.Huang, M. Georgiopoulos, R. DeMara,, and G.C. Anagnostopoulos, M. Georgiopoulos, Accelerated Learning of Generalized Sammon Mappings, in International Joint Conference on Neural Networks (IJCNN), San Jose, CA, 2011.
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.
L. Merakos and Georgiopoulos, M., Analysis of a multi-hop CDMA packet radio network, in the 26th IEEE Conference on Decision and Control, Los Angeles, California, 1987.
M. Georgiopoulos, Huang, J., and Heileman, G. L., Analysis of the ARTMAP neural network architecture, in the 1994 World Congress on Neural Networks (WCNN),Mathematical Foundations Session, San Diego, CA, 1994.
M. Georgiopoulos and Heileman, G. L., The analysis of the augmented ART1 neural network, in Proceedings of the International Joint Conference on Neural Networks, Singapore, 1991.
M. Bassiouni, Georgiopoulos, M., and Thompson, J., Analytical and simulation models for real time networks, in Proceedings of the 21st Annual Pittsburgh Conference, University of Pittsburgh, School of Engineering, Pittsburgh, Pasadena, 1990.
J. Secretan, Koufakou, A., and Georgiopoulos, M., APHID: A practical architecture for high-performance, privacy preserving, data-mining, in DMIN 2009, Las Vegas,NV, 2009.
J. W. House, Abdallah, C., Heileman, G. L., and Georgiopoulos, M., An application of gradient-like dynamics to neural networks, in Southcon 1994, Orlando, FL, 1994.
M. Gul, Catbas, F. N., and Georgiopoulos, M., Application of Pattern Recognition Techniques to Identify Structural Change in a Laboratory Specimen, in he SPIE Smart Structures and Materials & Nondestructive Evaluation and Health Monitoring Conference, San Diego, CA, 2007.
C. Christodoulou, Huang, J., Georgiopoulos, M., and Liou, J. J., Application of the ARTMAP neural network in the design of cascaded gratings and frequency selective surfaces, in International IEEE Antennas and Propagation Symposium, Seattle, 1994.
M. Mollaghasemi, LeCroy, K., and Georgiopoulos, M., Applications of neural networks and simulation modeling in manufacturing system design, in Southcon 96, 1996.
M. Georgiopoulos, Gelenbe, E., DeMara, R., Gonzalez, A., Mollaghasemi, M., Wu, A., Russell, I., Anagnostopoulos, G., and Secretan, J., Assessing and Evaluating our progress on the CRCD Experiences at the University of Central Florida: An NSF Project, in 2006 ASEE, Chicago, Illinois, 2006.
M. Georgiopoulos, Gelenbe, E., DeMara, R., Gonzalez, A., Mollaghasemi, M., Wu, A., Russell, I., Anagnostopoulos, G., and Secretan, J., Assessing and Evaluating our progress on the CRCD Experiences at the University of Central Florida: An NSF Project, 2006.
G. L. Heileman and Georgiopoulos, M., The augmented ART1 neural network, in Proceedings of the International Joint Conference on Neural Networks (IJCNN), Seattle, Washington, 1991.
J. R. Beck, Garcia, M. E., Zhong, M., Georgiopoulos, M., and Anagnostopoulos, G. C., A Backward adjusting strategy for the C4.5 decision tree classifier, and the effect of the C4.5 parameters on the tree’s performance, in 21st Artificial Intelligence Research Symposium, Coconut Grove, FL, 2008.
A. Koufakou, Wakchaure, A., Kursun, O., Georgiopoulos, M., Reynolds, K., and Eaglin, R., Burglary data mining – A three tiered approach: Local satte and nation-wide, in the 2nd Annual GIS Symposium at TU, Troy, Alabama, 2005.
K. Reynolds, Wakchaure, A., Kursun, O., Georgiopoulos, M., Reynolds, K., and Eaglin, R., Burglary data mining – A three tiered approach: Local state and nation-wide, in the 2nd Annual GIS Symposium at TU, Troy, Alabama, 2005.
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.
M. Georgiopoulos and Papantoni-Kazakos, P., Collision resolution protocols utilizing absorptions and collision multiplicities, in Abstracts of the 1983 International Symposium on Information Theory, St. Jovite, Canada, 1983.
B. O. Smith, Georgiopoulos, M., and Belkerdid, M., Comparison of BCH and convolutional codes in direct sequence spread spectrum multiple access packet radio networks, in MILCOM 91, McLean, Virginia, 1991.
A. Koufakou, Weihs, N., Georgiopoulos, M., and Al-Daraiseh, A., Comparisons of Gaussian ARTMAP and Distributed Gaussian ARTMAP: The Category Proliferation problem, in ANNIE 2006, St. Louis, Missouri, 2006.
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.
C. Li, Georgiopoulos, M., and Anagnostopoulos, G. C., Conic Multi-Task Classification, in ECML PKDD 2014, Nancy, France, September 15-19, 2014.
G. Bebis, Georgiopoulos, M., and Kasparis, T., Coupling weight elimination and genetic algorithms, in International Conference on Neural Networks (ICNN), Washington, DC, 1996.
M. Georgiopoulos, Gelenbe, E., DeMara, R., Gonzalez, A., Kysilka, M., Mollaghasemi, M., Wu, A., Russell, I., Anagnostopoulos, G., and Secretan, J., CRCD Experiences at the University of Central Florida: An NSF Project, in the ASEE 2005 Annual Conference and Exposition, Portland Oregon, 2005.
C. S. Ho, Liou, J. J., and Georgiopoulos, M., Design and simulation of analog circuits for adaptive resonance theory (ART) neural networks, in Symposium on Semiconductor Theory and Simulation, Taipei, Taiwan, 1993.
C. Christodoulou, Huang, J., Georgiopoulos, M., and Liou, J. J., Design of gratings and frequency selective surfaces using Fuzzy ARTMAP neural networks, in Proceedings SPIE, Orlando, FL, 1994.
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.
K. Reynolds, Kursun, O., Eaglin, R., Chen, B., and Georgiopoulos, M., Development of an Artificial Intelligent System for detection and visualization of auto theft recovery patterns, in Computational Intelligence Conference on Homeland Security and Public Safety (CIHSPS, 2005), Orlando, FL, 2005.
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.
C. Sentelle, Anagnostopoulos, G. C., and Georgiopoulos, M., An efficient active set method for SVM training without singular inner problems, in the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN 2009), Atlanta, GA, 2009.
A. Kaylani, Georgiopoulos, M., Mollaghasemi, M., and Anagnostopoulos, G., Efficient Evolution of ART Neural Networks, in 2008 IEEE Congress on Evolutionary Computation (IEEE CEC 2008), 2008.
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. 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.
L. Massi, Lancey, P., Nair, U., Straney, R., Georgiopoulos, M., and Young, C., Engineering and Computer Science Community College Transfers and Native Freshmen Students: Relationships Among Participation in Extra-Curricular and Co-Curricular Activities, Connecting to the University Campus, and Academic Success, in Frontiers in Education Conference, Seattle, WA, October 3-6, 2012.
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.
T. J. Frederick, Belkerdid, M., and Georgiopoulos, M., Error control coding for meteor burst channels, in MILCOM 91, McLean, Virginia, 1991.
M. Georgiopoulos, On the error probability of coded frequency hopped spread spectrum systems with codeword interleaving, in MILCOM 91, McLean, Virginia, 1991.
M. Georgiopoulos, On the error probability of coded frequency-hopped spread-spectrum multiple-access systems with more than one code symbol per dwell interval Conference, in MILCOM 89, Boston, Massachusetts, 1989.
L. Quang, Anagnostopoulos, G., Georgiopoulos, M., and Ports, K., An experimental comparison of semi-supervised ARTMAP architectures, GCS, and GNC Classifiers, in 2005 International Joint Conference on Neural Networks, Montreal, Quebec, 2005.
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.
M. Zhong, Georgiopoulos, M., and Anagnostopoulos, G. C., Experiments with an Innovative Tree Pruning Algorithm, in IASTED International Conference on Artificial Intelligence and Applications, Innsbruck, Innsbruck, 2007.
M. Zhong, Rosander, B., Georgiopoulos, M., Anagnostopoulos, G., Mollaghasemi, M., and Richie, S., Experiments with Micro-ARTMAP: Effect of the Network Parameters on the Network Performance, in 2005 Artificial Neural Networks in Engineerin, St. Louis, MI, 2005.
M. Zhong, Rosander, B., Georgiopoulos, M., Anagnostopoulos, G., Mollaghasemi, M., and Richie, S., Experiments with Safe Micro-ARTMAP: Effect of the Network Parameters on the Network Performance, in WCCI 2006, Vancouver, Canada, 2006.
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.
C. Sentelle, Hong, S. L., Georgiopoulos, M., and Anagnostopoulos, G. C., A Fuzzy Gap-statistic for Fuzzy C-Means, in The 11th IASTED International Conference on Artificial Intelligence and Soft Computing (ASC 2007), Palma de Malorca, Spain, 2007.
M. Zhong, Coggeshall, D., Ghaneie, E. G., Pope, T., Rivera, M. A., Georgiopoulos, M., and Anagnostopoulos, G. C., Gap-Based Estimation: Choosing the smoothing parameters for Probabilistic and General Regression Neural Networks, in WCCI 2006, Vancouver, Canada, 2006.
G. L. Heileman, Georgiopoulos, M., and Roome, W. D., A general framework for concurrent simulation on neural network models, in International Joint Conference on Neural Networks (IJCNN), Baltimore, MD, 1992.
M. Georgiopoulos, Dagher, I., Heileman, G. L., and Bebis, G., The generalization capabilities of ARTMAP, in International Conference on Neural Networks, Houston, TX, 1997.
A. Al-Dairaseh, Georgiopoulos, M., Wu, A. S., Anagnostopoulos, G., and Mollaghasemi, M., GFAM: A genetic algorithm optimization of Fuzzy ARTMAP, in WCCI 2006 (Fuzzy Systems), Vancouver, Canada, 2006.
C. S. Ho, Liou, J. J., Georgiopoulos, M., and Christodoulou, C., Hardware implementation of an adaptive resonance theory (ART) neural network using compensated amplifiers, in Proceedings SPIE, Orlando, FL, 1994.
C. S. Ho, Liou, J. J., and Georgiopoulos, M., Hardware implementation of ART1 memories using a mixed analogdigital approach, in IEEE World Congress on Computational Intelligence, Orlando, Fl, 1994.
J. Reeder, Georgiopoulos, M., Castro, J., Burns, S., Anagnostopoulos, G., and Mollaghasemi, M., Hilbert Space Filling Curve Nearest Neighbor, in The ISAS and CITSA 2005, Orlando, FL, 2005.
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.
C. Puklavage, Pirela, A., Gonzalez, A. J., and Georgiopoulos, M., Imitating personalized expressions through an Avatar using Machine Learning, in Proceedings of the 23rd International FLAIRS conference, 2010.
G. Bebis and Georgiopoulos, M., Improving generalization by using genetic algorithms to determine the neural network size, in Southcon 95, 1995.
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.
G. Bebis, Papadourakis, G. M., Georgiopoulos, M., and Heileman, G. L., Increasing classification accuracy using multiple-neural-network schemes, in Proceedings of the 1992 SPIE Conference (Technical Program on Intelligent Information Systems), Orlando, FL, 1992.
M. Dagley-Falls, Georgiopoulos, M., and Young, C., Influencing sense of community in a STEM living-learning community: An NSF STEP funded project, in Proceedings of the 2010 ASEE Conference and Exposition, 2010.
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.
C.Li, M. Georgiopoulos, R. DeMara,, and G.C. Anagnostopoulos, M. Georgiopoulos, Kernel Principal Subspace Mahalanobis Distances for Outlier Detection, in International Joint Conference on Neural Networks (IJCNN), San Jose, CA, 2011.
C. Li, Georgiopoulos, M., and Anagnostopoulos, G. C., Kernel-based Distance Metric Learning in the Output Space, in International Joint Conference on Neural Networks (IJCNN), Dallas, TX, August 04-09, 2013.
G. Bebis, Georgiopoulos, M., da Lobo, V. N., and Shah, M., Learning affine transformations of the plane for model-based object recognition, in 13th International Conference on Pattern Recognition (ICPR-96), Vienna, Austria, 1996.
G. Bebis, Georgiopoulos, M., and da Lobo, V. N., Learning geometric hashing functions for model-based object recognition, in Fifth International Conference on Computer Vision, ICCV-1995, Cambridge, MA, 1995.
M. Georgiopoulos, Li, C., and Kocak, T., Learning in the Feed-Forward Random Neural Network: A Critical Review, in the 25th International Symposium on Computer and Information Sciences, London, UK, 2010.
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.
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.
A. Kaylani, Georgiopoulos, M., Mollaghasemi, M., and Anagnostopoulos, G., MO-GART: Multi-Objective Optimization of ART Architectures, in 2008 IEEE Congress on Evolutionary Computation (IEEE CEC 2008), Hong Kong, 2008.
T.Rubio, Zhang, T., Georgiopoulos, M., and Kaylani, A., Multi-Objective Evolutionary Optimization of Exemplar-Based Classifiers: A PNN Test Case, in International Joint Conference on Neural Networks (IJCNN), San Jose, CA, 2011.
A. E. Zooghby, Christodoulou, C. G., and Georgiopoulos, M., Neural network approach for direction of arrival estimation, in Proceedings SPIE; Conference of Applications and Science of, Orlando, FL, 1997.
M. Georgiopoulos, Heileman, G. L., and Huang, J., The N-N-N conjecture in ART1 Conference, in International Joint Conference on Neural Networks (IJCNN), Baltimore, MD, 1992.
T. Kasparis, Georgiopoulos, M., and Payne, E., Non-linear filtering techniques for narrow-band interference rejection in direct sequence spread-spectrum systems, in MILCOM 91, McLean, Virginia, 1991.
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.
T. Zhang, Georgiopoulos, M., and Anagnostopoulos, G. C., Online Model Racing Based on Extreme Performance, in GECCO 2014, Vancouver, Canada, July 12-16, 2014, accepted for publication, 2014.
M. Georgiopoulos, Fernlund, H., Bebis, G., and Heileman, G. L., Order of Search in Fuzzy ART and Fuzzy ARTMAP: A geometrical interpretation, in International Conference on Neural Networks (ICNN 1996), Washington, DC, 1996.
M. Georgiopoulos, Packet error probabilities in direct sequence spread spectrum packet radio networks with BCH codes, in MILCOM 88, San Diego, California, 1988.
M. Georgiopoulos, Packet error probabilities in frequency hopped spread spectrum packet radio networks–Memoryless frequency hopping patterns considered, in the 26th IEEE Conference on Decision and Control, Los Angeles, California, 1987.
G. M. Papadourakis, Heileman, G. L., and Georgiopoulos, M., A parallel implementation of the Hopfield network on GAPP processors, in Proceedings of the International Joint Conference on Neural Networks, Washington, DC, 1989.
M. Georgiopoulos, Performance evaluation of frequency hopped receiver oriented spread spectrum packet radio networks, in Proceedings of the International Conference on Communications, Boston, Massachusetts, 1989.
H. T. Owens, Georgiopoulos, M., and Belkerdid, M., Performance of BCH and convolutional codes in direct sequence spread spectrum packet radio networks, in MILCOM 89, Boston, Massachusetts, 1989.
M. Bassiouni, Georgiopoulos, M., and Chiu, M., Performance of standard and modified network protocols in a real-time application, in 1997 International Performance, Computing and Communications Conference, Scottsdale, Arizona, 1997.
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.
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.
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 2006 ASEE, Chicago, Illinois, 2006.
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.
M. Georgiopoulos, Heileman, G. L., and Huang, J., Properties of learning in ART1, in Proceedings of the International Joint Conference on Neural Networks, Singapore, 1991.
J. Huang, Georgiopoulos, M., and Heileman, G. L., Properties of learning in fuzzy ART, in IEEE World Congress on Computational Intelligence, Orlando, Fl, 1994.
M. Bassiouni, Georgiopoulos, M., and Thompson, J., Real time simulation networking Network modeling and protocol alternatives, in 11th Interservice / Industry Training Systems Conference, Fort Worth, Texas, 1989.
E. Nold, Tucker, K., Long, R., and Georgiopoulos, M., Real-time unsupervised neural networks for non-implementable in natural noise A refutable hypothesis based on experiment, in Proceedings of the International Joint Conference on Neural Networks (IJCNN), Seattle, Washington, 1991.
Y. Huang, Li, C., Georgiopoulos, M., and Anagnostopoulos, G. C., Reduced Rank Local Distance Metric Learning, in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML and PKDD 2013), Prague, Czech Republic, September 23-27, 2013.
A. Koufakou, Ortiz, E., Georgiopoulos, M., Anagnostopoulos, G. C., and Reynolds, M. K., A scalable and efficient otlier detection strategy for categorical data, in Annual IEE International Conference on Tools with Artificial Intelligence, 2007 (ICTAI 2007),, Patras, Greece, 2007.
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.
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.
M. Georgiopoulos and Spillers, R. M., A simulation study of a limited sensing random access algorithm for a local area network with voice users, in Proceedings Southeastcon, Knoxville, Tennessee, 1988.
G. L. Heileman, Georgiopoulos, M., and Huang, J., A survey of learning results for ART1 networks, in IEEE World Congress on Computational Intelligence, Orlando, FL, 1994.
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.

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