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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.
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. Gonzalez, Georgiopoulos, M., and DeMara, R., “Using context-based neural networks to maintain coherence in distributed simulations”, The Journal of Defense Modeling and Simulation, vol. 4, pp. 417-172, 2007.
A. Gonzalez, Georgiopoulos, M., and DeMara, R., “Using Context-Based Neural Networks to Maintain Coherence Among Entities’ States in a Distributed Simulation”, The Journal of Defense Modeling and Simulation, vol. 4, pp. 147-172, 2007.
A. J. Gonzalez, DeMara, R. F., and Georgiopoulos, M., “Vehicle model generation and optimization for embedded simulation”, Simulation Interoperability Workshop, pp. 206–213, 1998.
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, “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.
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.
M. Georgiopoulos, Heileman, G. L., and J. Huang, “The N-N-N conjecture in ART1”, Neural Networks, vol. 5, pp. 745-753, 1992.
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. Georgiopoulos, Heileman, G. L., and Huang, J., “Properties of learning in ART1”, in Proceedings of the International Joint Conference on Neural Networks, Singapore, 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, “Correction to ‘Packet error probabilities in frequency hopped spread-spectrum packet radio networks-memoryless frequency hopping patterns considered’”, IEEE Trans. on Comm., vol. 39, pp. 362-364, 1991.
M. Georgiopoulos, Heileman, G. L., and Huang, J., “Properties of learning in ART1”, Neural Networks, vol. 4, pp. 751-758, 1991.
M. Georgiopoulos, Heileman, G. L., and Huang, J., “Convergence properties of learning in ART1”, Neural Computation, vol. 2, pp. 502-510, 1990.
M. Georgiopoulos, “On the error probability of coded frequency hopped spread spectrum multiple access systems with more than one code symbols per dwell interval”, IEEE Trans. on Comm., vol. 38, pp. 1321-1324, 1990.
M. Georgiopoulos, “Packet error probabilities in direct sequence spread spectrum packet radio networks”, IEEE Trans. on Comm., vol. 38, pp. 1599-1606, 1990.
M. Georgiopoulos, Dagher, I., Heileman, G. L., and Bebis, G., “The generalization capabilities of ARTMAP”, in International Conference on Neural Networks, Houston, TX, 1997.
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.
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 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.
M. Georgiopoulos, “Packet error probabilities in frequency hopped spread spectrum packet radio networks–Memoryless frequency hopping patterns considered”, IEEE Trans. on Comm., vol. 36, pp. 720-724, 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.
M. Georgiopoulos and Papantoni-Kazakos, P., “Collision resolution algorithms utilizing absorptions and collision multiplicities”, IEEE Trans. on Comm., vol. 33, pp. pp. 401-404, 1985.
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.
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.
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.
M. Georgiopoulos, Li, C., and Kocak, T., “Learning in the Feed-Forward Random Neural Network: A Critical Review”, Performance Evaluation, 2010.
M. Georgiopoulos, DeMara, R. F., Gonzalez, A. J., Wu, A. S., Mollaghasemi, M., Gelenbe, E., Kysilka, M., Secretan, J., Sharma, C. A., and Alnsour, A. J., “A Sustainable Model for Integrating Current Topics in Machine Learning Research in the Undergraduate Curriculum”, IEEE Transactions on Education, vol. 52, pp. 503-512, 2009.
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.
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.
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.
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, 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, 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. 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.
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.
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.
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, Li, C., and Kocak, T., “Learning in the Feed-Forward Random Neural Network: A Critical Review”, Performance Evaluation, vol. 68, pp. 361-384, 2011.
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, Fernlund, H., Bebis, G., and Heileman, G., “Order of Search in Fuzzy ART and Fuzzy ARTMAP: Effect of the Choice Parameter”, Neural Networks, vol. 9.9, pp. 1541-1559, 1996.