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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.
J. Huang, Georgiopoulos, M., and Heileman, G. L., “Fuzzy ART properties”, Neural Networks, vol. 8, pp. 203-213, 1995.
J. Huang, Georgiopoulos, M., and Heileman, G. L., “Properties of learning in fuzzy ART”, in IEEE World Congress on Computational Intelligence, Orlando, Fl, 1994.
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.
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. S. Ho, Liou, J. J., Georgiopoulos, M., Heileman, G. L., and Christodoulou, C., “Analog circuit design and implementation of an adaptive resonance theory (ART) neural network architecture”, International Journal of Electronics, vol. 76, pp. 271-291, 1994.
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.
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. 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.
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.
A. Henninger, Gonzalez, A., Georgiopoulos, M., and DeMara, R., “Modeling Semi-Automated Forces with Neural Networks: Performance Improvement through a Modular Approach”, 2000.
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.
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.
G. L. Heileman, Georgiopoulos, M., and Abdallah, C., “A dynamical adaptive resonance architecture”, IEEE Transactions on Neural Networks, vol. 5, pp. 873-889, 1994.
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.
G. L. Heileman, Georgiopoulos, M., and Roome, W. D., “A general framework for concurrent simulation on neural network models”, IEEE Transactions on Software Engineering, vol. 18, pp. 551-562, 1992.
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.
G. L. Heileman, Papadourakis, G. M., and Georgiopoulos, M., “A neural network associative memory for real-time applications”, Neural Computation, vol. 2, pp. 107-115, 1990.