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A
Al-Dairaiseh, A, Kaylani A, Georgiopoulos M, Mollaghasemi M, Wu AS, Anagnostopoulos G.  2007.  GFAM Evolving Fuzzy ARTMAP Neural Networks. Neural Networks journal. 20:874-892.
Al-Dairaseh, A, Georgiopoulos M, Wu AS, Anagnostopoulos G, Mollaghasemi M.  2006.  GFAM: A genetic algorithm optimization of Fuzzy ARTMAP. WCCI 2006 (Fuzzy Systems).
Al-Daraiseh, A, Kaylani A, Georgiopoulos M, Wu AS, Mollaghasemi M, Anagnostopoulos GC.  2007.  GFAM:Evolving Fuzzy ARTMAP Neural Networks. 20.8:874–892.
Al-Daraiseh, A, Kaylani A, Georgiopoulos M, Mollaghasemi M, Anagnostopoulos GC, Kaburlasos VG.  2007.  Genetically Engineered ART Architectures. Heidelberg: Springer-Verlag,in Computational Intelligence Based on Lattice Theory,Studies in Computational Intelligence. 67:233–262.
Anagnostopoulos, GC, Georgiopoulos M.  2001.  Ellipsoid ART and ARTMAP for incremental clustering and classification. Proceedings of the International Joint Conference on Neural Networks. :1221–1226.
Anagnostopoulos, GC, Georgiopoulos M, Ports K, Richie S, Cardinale N, White M, Kepuska V, Chan PK, Wu A, Kysilka M.  2006.  Project EMD-MLR: Educational Materials Development and Research in Machine Learning for Undergraduate students. 2006 ASEE.
Anagnostopoulos, GC, Georgiopoulos M.  2002.  Ellipsoid ART/ARTMAP category regions for the choice-by-difference functions. Proceedings of SPIE,Conference on Applications and Science of Computational Intelligence V. 4739:62–73.
Anagnostopoulos, GC, Georgiopoulos M.  2000.  Hypersphere ART and ARTMAP for Unsupervised and Supervised,Incremental Learning. Proceedings of the International Joint Conference on Neural Networks (IJCNN). :59–64.
Anagnostopoulos, GC, Georgiopoulos M, Ports K, Richie S, Cardinale N, White M, Kepuska V, Chan PK, Wu A, Kysilka M.  2005.  Project EMD-MLR: Educational Materials Development and Research in Machine Learning for Undergraduate students. the ASEE 2005 Annual Conference and Exposition.
Anagnostopoulos, GC, Georgiopoulos M.  2001.  New geometrical perspective of fuzzy ART and fuzzy ARTMAP learning. Proceedings of SPIE; Conference on Applications and Science of Computational Intelligence IV. :22–32.
Anagnostopoulos, GC, Georgiopoulos M.  2002.  Category regions as new geometrical concepts in Fuzzy-ART and Fuzzy-ARTMAP. Neural Networks. 15.10:1205-1221.
Anagnostopoulos, GC, Georgiopoulos M.  2000.  Hypershere ART and ARTMAP for unsupervised and supervised incremental learning. the International Joint Conference on Neural Networks.
Anagnostopoulos, G, Georgiopoulos M.  2001.  Ellipsoidal ART and ARTMAP for incremental unsupervised and supervised learning. Conference on Applications and Science of Computational Intelligence IV.
Anagnostopoulos, GC, Bharadwaj M, Georgiopoulos M, Verzi S, Heileman G.  2003.  Exemplar-based pattern recognition via semi-supervised learning. Neural Networks. :2782–2787.
Anagnostopoulos, GC, Georgiopoulos M.  2001.  New Geometrical Concepts in Fuzzy-ART and Fuzzy-ARTMAP: Category Regions. IEEE-INNS International Joint Conference on Neural Networks (IJCNN 2001). :32–37.
Anagnostopoulos, GC, Georgiopoulos M.  2002.  Ellipsoid ART/ARTMAP category regions for the choice-by-difference functions. Conference on Applications and Science of Computational Intelligence V.
Anagnostopoulos, GC, Georgiopoulos M, Nickerson D, Bebis G.  1997.  Ensembles of hybrid intelligent experts. 1997 IEEE International Conference on Systems, Man, and Cybernetics.
Anagnostopoulos, GC, Georgiopoulos M.  2003.  Putting the utility of match tracking in Fuzzy ARTMAP training to the test. :1–6.
Anagnostopoulos, GC, Georgiopoulos M, Verzi S, Heileman G.  2002.  Boosted ellipsoid ARTMAP. Proceedings of SPIE,Conference on Applications and Science of Computational Intelligence. 4739:74–85.
Anagnostopoulos, GC, Georgiopoulos M.  2001.  Ellipsoid ART and ARTMAP for incremental unsupervised and supervised Learning. Proceedings of SPIE; Conference on Applications and Science of Computational Intelligence IV. :293–304.
Anagnostopoulos, GC, Georgiopoulos M, Verzi S, Heileman G.  2002.  Reducing generalization error and category proliferation in ellipsoid ARTMAP via tunable misclassification error tolerance: Boosted Ellipsoid ARTMAP. Neural Networks. :2650–2655.
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Bahr, H, Georgiopoulos M, DeMara R.  1997.  Integer-encoded massively parallel processing of fast learning Fuzzy ARTMAP neural networks. Proceedings SPIE; Conference of Applications and Science of Artificial Neural Networks III.
Bassiouni, M, Georgiopoulos M, Thompson J.  1989.  Real time simulation networking Network modeling and protocol alternatives. 11th Interservice / Industry Training Systems Conference.
Bassiouni, M, Georgiopoulos M, Chiu M.  1997.  Performance of standard and modified network protocols in a real-time application. 1997 International Performance, Computing and Communications Conference.
Bassiouni, M, Georgiopoulos M, Thompson J.  1990.  Analytical and simulation models for real time networks. Proceedings of the 21st Annual Pittsburgh Conference.
Bebis, G, Georgiopoulos M, Shah M, da Lobo VN.  1998.  Using Algebraic Functions of Views for Indexing-Based Object Recognition. International Conference on Computer Vision. :634–639.
Bebis, G, Papadourakis GM, Georgiopoulos M, Heileman GL.  1992.  Increasing classification accuracy using multiple-neural-network schemes. Proceedings of the 1992 SPIE Conference (Technical Program on Intelligent Information Systems).
Bebis, G, Georgiopoulos M, da Lobo VN, Shah M.  1996.  Learning affine transformations of the plane for model-based object recognition. 13th International Conference on Pattern Recognition (ICPR-96).
Bebis, G, Georgiopoulos M, Kasparis T.  1997.  Coupling weight elimination with genetic algorithms to reduce network size and preserve generalization. Neurocomputing. :167–194.
Bebis, G, Georgiopoulos M, da Lobo VN.  1998.  Using self-organizing maps to learn geometric hash functions for model-based object recognition. IEEE Transactions on Neural Networks. 9:560-570.
Bebis, G, Georgiopoulos M, da Lobo VN, Shah M.  1999.  Learning affine transformations. Pattern Recognition. 32.10:1783–1799.
Bebis, G, Georgiopoulos M.  1995.  Improving generalization by using genetic algorithms to determine the neural network size. Southcon 95.
Bebis, G, Georgiopoulos M, da Lobo VN.  1998.  Using Self-Organizing Maps to Learn Geometric Hash Functions for Model-Based Object Recognition. IEEE Transactions on Neural Networks. 9.3:560–570.
Bebis, G, Georgiopoulos M.  1994.  Optimal feed-forward neural network architectures. IEEE Potentials. :27-31.
Bebis, G, Georgiopoulos M, Shah M, da Lobo VN.  1998.  Indexing Based on Algebraic Functions of Views. Computer Vision and Image Understanding. 72.3:360–378.
Bebis, G, Deaconu T, Georgiopoulos M.  1999.  Fingerprint identification using Delaunay triangulation. IEEE International Conference on Information,Intelligence and Systems. :452–459.
Bebis, G, Georgiopoulos M, Shah M, da Lobo VN.  1998.  Algebraic functions of views for indexing-based object recognition. Proceedings of the Sixth International Conference.
Bebis, G, Georgiopoulos M, da Lobo VN.  1995.  Learning geometric hashing functions for model-based object recognition. Fifth International Conference on Computer Vision, ICCV-1995.
Bebis, G, Georgiopoulos M, Bhatia S.  1997.  Learning orthographic transformations for object recognition. 1997 IEEE International Conference on Systems, Man, and Cybernetics.
Bebis, G, Uthiram S, Georgiopoulos M.  2000.  Face detection and verification using genetic search. International Jornal on Artificial Intelligence Tools. 9.2:225–245.
Bebis, G, Papadourakis GM, Georgiopoulos M.  1989.  Back-Propagation: Increasing rate of convergence by predictable pattern loading. 1:14-30.
Bebis, G, Georgiopoulos M, Kasparis T.  1996.  Coupling weight elimination and genetic algorithms. International Conference on Neural Networks (ICNN).
Bebis, G, Uthiram S, Georgiopoulos M.  1999.  Genetic Search for Face Detection and Verification. IEEE International Conference on Information,Intelligence and Systems. :360–367.
Beck, JR, Garcia ME, Zhong M, Georgiopoulos M, Anagnostopoulos GC.  2008.  A Backward adjusting strategy for the C4.5 decision tree classifier, and the effect of the C4.5 parameters on the tree’s performance. 21st Artificial Intelligence Research Symposium.
C
Carr, K, Cannava K, Pescatore R, Georgiopoulos M, Anagnostopoulos GC.  2004.  Fast Stable and on-line training of Fuzzy ARTMAP using a novel,conservative,slow learning strategy. Neural Networks. :63–69.
Carr, K, Cannava K, Pescatore R, Georgiopoulos M, Anagnostopoulos G.  2004.  Fast Stable and on-line training of Fuzzy ARTMAP using a novel, conservative, slow learning strategy. ANNIE 2004 conference.
Castro, J, Georgiopoulos M, DeMara R, Gonzalez A.  2004.  A data partitioning approach to speed the Fuzzy ARTMAP algorithm using the Hilbert space-filling curve. :2367–2372.
Castro, J, Georgiopoulos M, DeMara R, Gonzalez A.  2005.  Data-partitioning using the Hilbert space filling curves Effect on the speed of convergence of Fuzzy ARTMAP for large database problems. Neural Networks. 18:967-984.
Castro, J, Secretan J, Georgiopoulos M, DeMara R, Anagnostopoulos GC, Gonzalez A.  2007.  Pipelining of Fuzzy ARTMAP without Matchtracking: Correctness,Performance Bound and Beowulf Evaluation. Neural Networks. 20.1:109–128.
Castro, J, Georgiopoulos M, DeMara R, Gonzalez A.  2005.  Data-partitioning using the Hilbert space filling curves: Effect on the speed of convergence of Fuzzy ARTMAP for large database problems. Neural Networks. 18.7:967–984.
Castro, J, Secretan J, Georgiopoulos M, DeMara RF, Anagnostopoulos G, Gonzalez A.  2004.  Pipelining of Fuzzy ARTMAP (FAM) without match-tracking. ANNIE 2004.
Castro, J, Georgiopoulos M, DeMara R, Gonzalez A.  2004.  A Partitioned Fuzzy ARTMAP implementation for fast processing of large databases on sequential machines.
Castro, J, Georgiopoulos M, Secretan J, DeMara R, Anagnostopoulos GC, Gonzalez A.  2005.  Parallelization of Fuzzy ARTMAP to improve its convergence speed: The network partitioning approach and the data partitioning approach. Nonlinear Analysis: Theory,Methods and Applications. 63.5-7:e877–e889.
Castro, J, Georgiopoulos M, Secretan J.  2007.  Analyzing the Fuzzy ARTMAP Matchtracking mechanism with Co-Objective Optimization Theory. Proceedings of the International IEEE-INNS-ENNS Joint Conference on Neural Networks (IJCNN). :743–748.
Charalampidis, D, Georgiopoulos M, Kasparis T.  2000.  Classification of noisy signals using Fuzzy ARTMAP neural networks. the International Joint Conference on Neural Networks.
Charalampidis, D, Kasparis T, Jones L, Georgiopoulos M.  2008.  Use of multifractals to detect anomalous propagation (AP) in weather radar. Proceedings SPIE; Conference on Signals and Data Processing of Small Targets. :13–22.
Charalampidis, D, Kasparis T, Georgiopoulos M.  1998.  Texture classification using ART-based neural networks and Fractals. SPIE Conference on Signal Processing,Sensor Fusion,and Target Recognition VII. :212–222.
Charalampidis, D, Anagnostopoulos GC, Georgiopoulos M, Kasparis T.  2002.  Fuzzy ART and ARTMAP with adaptive weighted distances. Proceedings of SPIE,Conference on Applications and Science of Computational Intelligence V. 4739:86–97.
Charalampidis, D, Kasparis T, Georgiopoulos M, Rolland J.  1999.  A Fuzzy ARTMAP based classification of natural textures. Proceedings of the 18th International Conference of the North American Fuzzy Information Processing Society. :507–511.
Charalampidis, D, Anagnostopoulos GC, Kasparis T, Georgiopoulos M.  2008.  Classification of noisy patterns using ARTMAP-based neural networks. Proceedings SPIE; Conference on Visual Information Processing IX. :2-13.
Charalampidis, D, Kasparis T, Jones WL, Georgiopoulos M.  2000.  Use of multi-fractals to detect anomalous propagation (AP) in weather data. Proceedings SPIE; Conference on Signals and Data Processing of Small Targets.
Charalampidism, D, Georgiopoulos M, Kasparis T.  2000.  Classification of Noisy Signals Using Fuzzy ARTMAP Neural Networks. Proceedings of the International Joint Conference on Neural Networks (IJCNN). :53–58.
Chralampidis, D, Kasparis T, Georgiopoulos M.  2001.  Classification of noisy signals using fuzzy ARTMAP neural networks. Neural Networks. 12.5:1023–1036.
Christodoulou, C, Huang J, Georgiopoulos M.  1995.  Design of gratings and frequency-selective surfaces using ARTMAP neural networks. Journal of Electromagnetic Waves and Applications. 9:17-36.
Christodoulou, C, Georgiopoulos M, Zooghby EA.  2000.  Multiple Source Angle of Arrival Estimation using Neural-Network-based Smart Antennas. Proceedings SPIE; Conference on Digital Wireless Communications II. :94–99.
Christodoulou, C, Huang J, Georgiopoulos M, Liou JJ.  1994.  Design of gratings and frequency selective surfaces using Fuzzy ARTMAP neural networks. Proceedings SPIE.
Christodoulou, C, Georgiopoulos M.  2001.  Smart adaptive array antennas for wireless communcations. Proceedings of SPIE; Conference on Digital Wireless Communication III. :75–83.
Christodoulou, C, Georgiopoulos M.  2001.  Applications of Neural Networks in Electromagnetics. :512.
Christodoulou, C, Huang J, Georgiopoulos M, Liou JJ.  1994.  Application of the ARTMAP neural network in the design of cascaded gratings and frequency selective surfaces. International IEEE Antennas and Propagation Symposium.
Christodoulou, CG, Zooghby EAH, Georgiopoulos M.  1999.  Neural network processing for adaptive array antennas. IEEE Antennas and Propagation Society International Symposium. :2584–2587.
D
Dagher, I, Georgiopoulos M, Heileman GL, Bebis G.  1998.  Ordered fuzzy ARTMAP: a fuzzy ARTMAP algorithm with a fixed order of pattern presentation. IEEE International Joint Conference on Neural Networks. :1717–1722.
Dagher, I, Georgiopoulos M, Heileman G, Bebis G.  1998.  Fuzzy ARTVar: An Improved Fuzzy ARTMAP Algorithm. International Joint Conference on Neural Networks. :1688–1693.
Dagley-Falls, M, Georgiopoulos M, Young C.  2010.  Influencing sense of community in a STEM living-learning community: An NSF STEP funded project. Proceedings of the 2010 ASEE Conference and Exposition.
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Fernlund, HK, Gonzalez AJ, Georgiopoulos M, DeMara R.  2006.  Learning tactical human behavior through observation of human performance. Cybernetics–Part B: Cybernetics,Man,IEEE Transactions on Systems. 36.1:128–140.
Frederick, TJ, Belkerdid M, Georgiopoulos M.  1991.  Error control coding for meteor burst channels. MILCOM 91.
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Georgiopoulos, M, Castro J, Gelenbe E, DeMara R, Gonzalez A, Kysilka M.  2004.  CRCD Experiences at the University of Central Florida: An NSF Project. Proceedings of the ASEE 2004 Annual Conference and Exposition.
Georgiopoulos, M.  1990.  Packet error probabilities in direct sequence spread spectrum packet radio networks. IEEE Trans. on Comm.. 38:1599-1606.
Georgiopoulos, M, Li C, Kocak T.  2010.  Learning in the Feed-Forward Random Neural Network: A Critical Review. Performance Evaluation.
Georgiopoulos, M, Dagher I, Heileman GL, Bebis G.  1999.  Properties of Learning of a Fuzzy ART Variant. Neural Networks. 12.6:837–850.
Georgiopoulos, M.  1988.  Packet error probabilities in direct sequence spread spectrum packet radio networks with BCH codes. MILCOM 88.
Georgiopoulos, M, Skarman S, Gonzalez AJ.  1998.  Short-term electric load forecasting using a Fuzzy ARTMAP neural network. Conference on Applications and Science of Computational Intelligence.
Georgiopoulos, M, Fernlund H, Bebis G, Heileman GL.  1996.  Order of Search in Fuzzy ART and Fuzzy ARTMAP: A geometrical interpretation. International Conference on Neural Networks (ICNN 1996).
Georgiopoulos, M.  1991.  Correction to ‘Packet error probabilities in frequency hopped spread-spectrum packet radio networks-memoryless frequency hopping patterns considered’. IEEE Trans. on Comm.. 39:362-364.
Georgiopoulos, M, Russell I, Castro J, Wu A, Kysilka M, DeMara R.  2003.  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.
Georgiopoulos, M, Gelenbe E, DeMara R, Gonzalez A, Kysilka M, Mollaghasemi M, Wu A, Russell I, Anagnostopoulos G, Secretan J.  2005.  CRCD Experiences at the University of Central Florida: An NSF Project. the ASEE 2005 Annual Conference and Exposition.
Georgiopoulos, M.  1987.  Packet error probabilities in frequency hopped spread spectrum packet radio networks–Memoryless frequency hopping patterns considered. the 26th IEEE Conference on Decision and Control.
Georgiopoulos, M.  1989.  On the error probability of coded frequency-hopped spread-spectrum multiple-access systems with more than one code symbol per dwell interval Conference. MILCOM 89.
Georgiopoulos, M, Koufakou A, Anagnostopoulos GC, Kasparis T.  2001.  Over-training in Fuzzy ARTMAP: Myth or Reality? Proceedings of the International Joint Conference on Neural Networks. :1186–1190.
Georgiopoulos, M.  1991.  On the error probability of coded frequency hopped spread spectrum systems with codeword interleaving. MILCOM 91.
Georgiopoulos, M, Li C, Kocak T.  2011.  Learning in the Feed-Forward Random Neural Network: A Critical Review. Performance Evaluation. 68:361-384.
Georgiopoulos, M, Spillers RM.  1988.  A simulation study of a limited sensing random access algorithm for a local area network with voice users. Proceedings Southeastcon.
Georgiopoulos, M, Gelenbe E, DeMara R, Gonzalez A, Mollaghasemi M, Wu A, Russell I, Anagnostopoulos G, Secretan J.  2006.  Assessing and Evaluating our progress on the CRCD Experiences at the University of Central Florida: An NSF Project.
Georgiopoulos, M, Heileman GL, Huang J.  1990.  Convergence properties of learning in ART1. Neural Computation. 2:502-510.
Georgiopoulos, M, Gelenbe E, DeMara R, Gonzalez A, Mollaghasemi M, Wu A, Russell I, Anagnostopoulos G, Secretan J.  2006.  Assessing and Evaluating our progress on the CRCD Experiences at the University of Central Florida: An NSF Project. 2006 ASEE.
Georgiopoulos, M, Castro J, Wu A, DeMara R, Gelenbe E, Gonzalez A.  2003.  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. :249.
Georgiopoulos, M.  1989.  Performance evaluation of frequency hopped receiver oriented spread spectrum packet radio networks. Proceedings of the International Conference on Communications.
Georgiopoulos, M, Koufakou A, Anagnostopoulos GC, Kasparis T.  2001.  Cross-Validation in Fuzzy ARTMAP Neural Networks for Large Sample Classification Problems. Proceedings of SPIE; Applications and Science of Computational Intelligence IV.
Georgiopoulos, M, Heileman GL, Huang J.  1991.  Properties of learning in ART1. Neural Networks. 4:751-758.
Georgiopoulos, M, Heileman GL, J. Huang.  1992.  The N-N-N conjecture in ART1. Neural Networks. 5:745-753.
Georgiopoulos, M, Papantoni-Kazakos P.  1985.  Collision resolution algorithms utilizing absorptions and collision multiplicities. IEEE Trans. on Comm.. 33:pp.401-404.