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Zooghby, EAH, Christodoulou CG, Georgiopoulos M. 1998. Adaptive interference cancellation in circular arrays with radialbasis function neural networks. IEEE Antennas and Propagation Society International Symposium.

Zooghby, AHE, Christodoulou CG, Georgiopoulos M. 1998. Adaptive interference cancellation with neural networks. 1998 Virginia Tech Symposium on Wireless Personal Communications.

Kaylani, A, Georgiopoulos M, Mollaghasemi M, Anagnostopoulos G. 2009. AG-ART: An Adaptive Method of Evolving ART Architectures. Neurocomputing. 72:2079-2092.

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.

Ho, CS, Liou JJ, Georgiopoulos M, Heileman GL, Christodoulou C. 1994. Analog circuit design and implementation of an adaptive resonance theory (ART) neural network architecture. International Journal of Electronics. 76:271-291.

Merakos, L, Georgiopoulos M. 1987. Analysis of a multi-hop CDMA packet radio network. the 26th IEEE Conference on Decision and Control.

Georgiopoulos, M, Huang J, Heileman GL. 1994. Analysis of the ARTMAP neural network architecture. the 1994 World Congress on Neural Networks (WCNN),Mathematical Foundations Session.

Georgiopoulos, M, Heileman GL. 1991. The analysis of the augmented ART1 neural network. Proceedings of the International Joint Conference on Neural Networks.

Bassiouni, M, Georgiopoulos M, Thompson J. 1990. Analytical and simulation models for real time networks. Proceedings of the 21st Annual Pittsburgh Conference.

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.

Kursun, O, Koufakou A, Wakchaure A, Georgiopoulos M, Reynolds K, Eaglin R. 2006. Answer: approximate Name Search with Errors in Large Databases by a Novel Approach Based on Prefix-dictionary. International Journal on Artificial Intelligence Tools. 15.5:839–848.

Secretan, J, Koufakou A, Georgiopoulos M. 2009. APHID: A practical architecture for high-performance, privacy preserving, data-mining. DMIN 2009.

Secretan, J, Koufakou A, Georgiopoulos M, Cardona K. 2010. APHID: An architecture for private, high-performance integrated data-mining. Journal of Future Generation Computer Systems. 26:891-904.

House, JW, Abdallah C, Heileman GL, Georgiopoulos M. 1994. An application of gradient-like dynamics to neural networks. Southcon 1994.

Mollaghasemi, M, LeCroy K, Georgiopoulos M. 1998. Application of neural networks and simulation modeling in manufacturing system design. INTERFACES. 28:100-114.

Gul, M, Catbas FN, Georgiopoulos M. 2007. Application of Pattern Recognition Techniques to Identify Structural Change in a Laboratory Specimen. he SPIE Smart Structures and Materials & Nondestructive Evaluation and Health Monitoring Conference.

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.

Mollaghasemi, M, LeCroy K, Georgiopoulos M. 1996. Applications of neural networks and simulation modeling in manufacturing system design. Southcon 96.

Christodoulou, C, Georgiopoulos M. 2001. Applications of Neural Networks in Electromagnetics. :512.

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, 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.

Heileman, GL, Georgiopoulos M. 1991. The augmented ART1 neural network. Proceedings of the International Joint Conference on Neural Networks (IJCNN).

Gonzaleza, AJ, Georgiopoulos M, DeMara RF, Henninger A, Gerber W. 1998. Automating the CGF Model Development and Refinement Process by Observing Expert Behavior in a Simulation. 7th Conference on Computer Generated Forces and Behavioral Representation.

B

Bebis, G, Papadourakis GM, Georgiopoulos M. 1989. Back-Propagation: Increasing rate of convergence by predictable pattern loading. 1:14-30.

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.

Henninger, A, Gerber W, DeMara R, Georgiopoulos M, Gonzalez A. 1998. Behavior Modeling Framework for Embedded Simulation. Interservice/Industry Training,Simulation & Education Conference (I/ITSEC 98). :655–662.

Verzi, SJ, Heileman GL, Georgiopoulos M, Healy MJ. 1998. Boosted ARTMAP. IEEE International Joint Conference on Neural Networks. :396–401.

Verzi, S, Heileman GL, Georgiopoulos M. 2006. Boosted ARTMAP: Modifications to fuzzy ARTMAP motivated by boosting Theory. Neural Networks. 19.4:446–468.

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.

Koufakou, A, Wakchaure A, Kursun O, Georgiopoulos M, Reynolds K, Eaglin R. 2005. Burglary data mining – A three tiered approach: Local satte and nation-wide. the 2nd Annual GIS Symposium at TU.

Reynolds, K, Wakchaure A, Kursun O, Georgiopoulos M, Reynolds K, Eaglin R. 2005. Burglary data mining – A three tiered approach: Local state and nation-wide. the 2nd Annual GIS Symposium at TU.

C

Anagnostopoulos, GC, Georgiopoulos M. 2002. Category regions as new geometrical concepts in Fuzzy-ART and Fuzzy-ARTMAP. Neural Networks. 15.10:1205-1221.

Jr., WD, Liou JJ, Georgiopoulos M. 1993. Circuit simulation of adaptive resonance (ART) neural networks using PSpice. International Journal of Electronics. 74:101-110.

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.

Chralampidis, D, Kasparis T, Georgiopoulos M. 2001. Classification of noisy signals using fuzzy ARTMAP neural networks. Neural Networks. 12.5:1023–1036.

Charalampidis, D, Georgiopoulos M, Kasparis T. 2000. Classification of noisy signals using Fuzzy ARTMAP neural networks. the International Joint Conference on Neural Networks.

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.

Georgiopoulos, M, Papantoni-Kazakos P. 1985. Collision resolution algorithms utilizing absorptions and collision multiplicities. IEEE Trans. on Comm.. 33:pp.401-404.

Georgiopoulos, M, Papantoni-Kazakos P. 1983. Collision resolution protocols utilizing absorptions and collision multiplicities. Abstracts of the 1983 International Symposium on Information Theory.

Smith, BO, Georgiopoulos M, Belkerdid M. 1991. Comparison of BCH and convolutional codes in direct sequence spread spectrum multiple access packet radio networks. MILCOM 91.

Koufakou, A, Weihs N, Georgiopoulos M, Al-Daraiseh A. 2006. Comparisons of Gaussian ARTMAP and Distributed Gaussian ARTMAP Classifiers - The Category Proliferation Problem. Evolutionary Programming,Complex Systems and Artificial Life also presented at the 2006 Artificial Neural Networks in Engineering (ANNIE). 16:695–704.

Koufakou, A, Weihs N, Georgiopoulos M, Al-Daraiseh A. 2006. Comparisons of Gaussian ARTMAP and Distributed Gaussian ARTMAP: The Category Proliferation problem. ANNIE 2006.

Russel, I, Georgiopoulos M, Castro J, Neller T, McCracken D, Bouvier D. 2003. Condensing the CC-2001 core in an Integrated Curriculum. CCSCNE (Consortium for Computing in Small Colleges in the Northeast).

Henninger, A, Gonzalez A, Georgiopoulos M, DeMara R. 2001. A connectionist-symbolic approach to modeling agents: Neural networks grouped by contexts. Proceedings of the CONTEXT-01 Conference. :198–209.

Gonzalez, AJ, Gerber WJ, DeMara RF, Georgiopoulos M. 2004. Context-driven Near-term Intention Recognition. Journal of Defense Modeling and Simulation. 1.3:153–170.

Georgiopoulos, M, Heileman GL, Huang J. 1990. Convergence properties of learning in ART1. Neural Computation. 2:502-510.

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.

Bebis, G, Georgiopoulos M, Kasparis T. 1996. Coupling weight elimination and genetic algorithms. International Conference on Neural Networks (ICNN).

Bebis, G, Georgiopoulos M, Kasparis T. 1997. Coupling weight elimination with genetic algorithms to reduce network size and preserve generalization. Neurocomputing. :167–194.

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, 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, 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.

Koufakou, A, Georgiopoulos M, Anagnostopoulos GC, Kasparis T. 2001. Cross-validation in Fuzzy ARTMAP for large databases. Neural Networks. 14.9:1279-1291.

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.

D

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, 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.

Ho, CS, Liou JJ, Georgiopoulos M. 1993. Design and simulation of analog circuits for adaptive resonance theory (ART) neural networks. Symposium on Semiconductor Theory and Simulation.

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, 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.

Koufakou, A, Georgiopoulos M, Anagnostopoulos GC. 2008. Detecting Outliers in High-Dimensional Datasets with Mixed Attributes. International Conference on Data Mining (DMIN 2008).

Klodzinski, J, Al-Daraiseh A, Georgiopoulos M, Al-Deek HM. 2004. Development of a java applet for generating truck trips from freight data. Transportation Research Record No. 1870. :10–17.

Reynolds, K, Kursun O, Georgiopoulos M, Eaglin R. 2004. Development of an Artificial Intelligence Clustering Algorithm to Detect Auto Theft Recovery Patterns. GIS Symposium 2004.

Reynolds, K, Kursun O, Eaglin R, Chen B, Georgiopoulos M. 2005. Development of an Artificial Intelligent System for detection and visualization of auto theft recovery patterns. Computational Intelligence Conference on Homeland Security and Public Safety (CIHSPS, 2005).

Kursun, O, Koufakou A, Chen B, Georgiopoulos M, Reynolds K, Eaglin R. 2006. A Dictionary-Based Approach to Fast and Accurate Name Matching in Large Law Enforcement Databases. IEEE Intelligence and Security Informatics (ISI) Conference. :72–82.

Heileman, GL, Georgiopoulos M, Abdallah C. 1994. A dynamical adaptive resonance architecture. IEEE Transactions on Neural Networks. 5:873-889.

E

Mollaghasemi, M, Georgiopoulos M, Cope D, Donnelly A, Steele M. 2004. Educating Middle and High School Students in Space Operations. the 2004 Winter Simulation Conference.

Sentelle, C, Anagnostopoulos GC, Georgiopoulos M. 2009. An efficient active set method for SVM training without singular inner problems. the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN 2009).

Kaylani, A, Georgiopoulos M, Mollaghasemi M, Anagnostopoulos G. 2008. Efficient Evolution of ART Neural Networks. 2008 IEEE Congress on Evolutionary Computation (IEEE CEC 2008).

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. 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. 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. 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, 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, Georgiopoulos M, Nickerson D, Bebis G. 1997. Ensembles of hybrid intelligent experts. 1997 IEEE International Conference on Systems, Man, and Cybernetics.

Frederick, TJ, Belkerdid M, Georgiopoulos M. 1991. Error control coding for meteor burst channels. MILCOM 91.

Anagnostopoulos, GC, Bharadwaj M, Georgiopoulos M, Verzi S, Heileman G. 2003. Exemplar-based pattern recognition via semi-supervised learning. Neural Networks. :2782–2787.

Quang, L, Anagnostopoulos G, Georgiopoulos M, Ports K. 2005. An experimental comparison of semi-supervised ARTMAP architectures, GCS, and GNC Classifiers. 2005 International Joint Conference on Neural Networks.

Georgiopoulos, M, Anagnostopoulos GC, Bharadwaj M. 2003. Experimental comparisons of semi-supervised and supervised ART classifiers. The 16th International Flairs Conference.

Zhong, M, Georgiopoulos M, Anagnostopoulos GC. 2007. Experiments with an Innovative Tree Pruning Algorithm. IASTED International Conference on Artificial Intelligence and Applications.

Zhong, M, Rosander B, Georgiopoulos M, Anagnostopoulos G, Mollaghasemi M, Richie S. 2005. Experiments with Micro-ARTMAP: Effect of the Network Parameters on the Network Performance. 2005 Artificial Neural Networks in Engineerin.

Zhong, M, Rosander B, Georgiopoulos M, Anagnostopoulos GC, Mollaghasemi M, Richie S. 2006. Experiments with Safe ARTMAP and Comparisons to Other ART Networks. Proceedings of the 2006 IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN 2006). :720–727.

Zhong, M, Rosander B, Georgiopoulos M, Anagnostopoulos GC, Mollaghasemi M, Richie S. 2007. Experiments with Safe micro-ARTMAP: Effect of the Network Parameters on the Network Performance. Neural Networks. 20.2:245–259.

Zhong, M, Rosander B, Georgiopoulos M, Anagnostopoulos G, Mollaghasemi M, Richie S. 2006. Experiments with Safe Micro-ARTMAP: Effect of the Network Parameters on the Network Performance. WCCI 2006.

F

Bebis, G, Uthiram S, Georgiopoulos M. 2000. Face detection and verification using genetic search. International Jornal on Artificial Intelligence Tools. 9.2:225–245.

Meyer-Base, A, Jancke K, Wissmuller A, Georgiopoulos M. 2004. Fast K-dimensional tree-structured vector quantization encoding method for image compression. Optical Engineering Letters. 43:1012-1013.

Koufakou, A, Georgiopoulos M. 2010. A fast outlier detection strategy for distributed high dimensional datasets with mixed attributes. Data Mining and Knowledge Discovery. 20:259-289.

Koufakou, A, Secretan J, Reeder J, Cardona K, Georgiopoulos M. 2008. Fast Parallel Outlier Detection for Categorical Datasets using MapReduce. IEEE World Congress on Computational Intelligence (WCCI).

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.

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.

Bebis, G, Deaconu T, Georgiopoulos M. 1999. Fingerprint identification using Delaunay triangulation. IEEE International Conference on Information,Intelligence and Systems. :452–459.

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.

Huang, J, Georgiopoulos M, Heileman GL. 1995. Fuzzy ART properties. Neural Networks. 8:203-213.

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.

Dagher, I, Georgiopoulos M, Heileman G, Bebis G. 1998. Fuzzy ARTVar: An Improved Fuzzy ARTMAP Algorithm. International Joint Conference on Neural Networks. :1688–1693.

Sentelle, C, Hong SL, Anagnostopoulos GC, Georgiopoulos M. 2007. A fuzzy gap statistic for Fuzzy C-Means. Proceedings of the 11th IASTED International Conference on Artificial.

Sentelle, C, Hong SL, Georgiopoulos M, Anagnostopoulos GC. 2007. A Fuzzy Gap-statistic for Fuzzy C-Means. The 11th IASTED International Conference on Artificial Intelligence and Soft Computing (ASC 2007).

G

Zhong, M, Coggeshall D, Ghaneie EG, Pope T, Rivera MA, Georgiopoulos M, Anagnostopoulos GC. 2006. Gap-Based Estimation: Choosing the smoothing parameters for Probabilistic and General Regression Neural Networks. WCCI 2006.

Zhong, M, Coggeshall D, Georgiopoulos M, Anagnostopoulos GC, Mollaghasemi M, Richie S. 2006. Gap-Based Estimation: Choosing the Smoothing Parameters for Probabilistic and General Regression Neural Networks. Proceedings of the 2006 IEEE-INNS-ENNS International Joint Conference on Neural Networks. :1870–1877.