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1983
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.
1985
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.
1987
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, “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.
1988
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”, IEEE Trans. on Comm., vol. 36, pp. 720-724, 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.
1989
G. Bebis, Papadourakis, G. M., and Georgiopoulos, M., “Back-Propagation: Increasing rate of convergence by predictable pattern loading”, vol. 1, pp. 14-30, 1989.
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.
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 Thompson, J., “Real time simulation networking Network modeling and protocol alternatives”, in 11th Interservice / Industry Training Systems Conference, Fort Worth, Texas, 1989.
1990
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.
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.
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.
M. Georgiopoulos, “Packet error probabilities in direct sequence spread spectrum packet radio networks”, IEEE Trans. on Comm., vol. 38, pp. 1599-1606, 1990.
1991
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.
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.
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.
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.
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.
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.
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, Heileman, G. L., and Huang, J., “Properties of learning in ART1”, Neural Networks, vol. 4, pp. 751-758, 1991.
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.
1992
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. 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. Georgiopoulos, Heileman, G. L., and J. Huang, “The N-N-N conjecture in ART1”, Neural Networks, vol. 5, pp. 745-753, 1992.
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.
1993
W. D. Jr., Liou, J. J., and Georgiopoulos, M., “Circuit simulation of adaptive resonance (ART) neural networks using PSpice”, International Journal of Electronics, vol. 74, pp. 101-110, 1993.
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.
1994
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.
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.
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. 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.
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.
G. L. Heileman, Georgiopoulos, M., and Abdallah, C., “A dynamical adaptive resonance architecture”, IEEE Transactions on Neural Networks, vol. 5, pp. 873-889, 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.
G. Bebis and Georgiopoulos, M., “Optimal feed-forward neural network architectures”, IEEE Potentials, pp. 27-31, 1994.
J. Huang, Georgiopoulos, M., and Heileman, G. L., “Properties of learning in fuzzy ART”, in IEEE World Congress on Computational Intelligence, Orlando, Fl, 1994.
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.
1995
C. Christodoulou, Huang, J., and Georgiopoulos, M., “Design of gratings and frequency-selective surfaces using ARTMAP neural networks”, Journal of Electromagnetic Waves and Applications, vol. 9, pp. 17-36, 1995.
J. Huang, Georgiopoulos, M., and Heileman, G. L., “Fuzzy ART properties”, Neural Networks, vol. 8, pp. 203-213, 1995.
G. Bebis and Georgiopoulos, M., “Improving generalization by using genetic algorithms to determine the neural network size”, in Southcon 95, 1995.
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.
1996
M. Mollaghasemi, LeCroy, K., and Georgiopoulos, M., “Applications of neural networks and simulation modeling in manufacturing system design”, in Southcon 96, 1996.
G. Bebis, Georgiopoulos, M., and Kasparis, T., “Coupling weight elimination and genetic algorithms”, in International Conference on Neural Networks (ICNN), Washington, DC, 1996.
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.
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.
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.
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.
E. A. H. Zooghby, Christodoulou, C. G., and Georgiopoulos, M., “Performance of Radial-Basis Function Networks for Direction of Arrival Estimation with Antenna Arrays”, IEEE Transactions on Antennas and Propagation, vol. 45.11, pp. 1611–1617, 1997.
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.
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.
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.
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.
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.

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