C.  Li, Georgiopoulos, M., and Anagnostopoulos, G. C., ?Conic Multi-Task Classification?, in ECML PKDD 2014, Nancy, France, September 15-19, 2014.

J.  Reeder and Georgiopoulos, M., ?Generative Neural Networks for Multi-Task Life-Long Learning?, The Computer Journal, vol. 57, no. 3, pp. 427-450, 2014.

C.  Li, Georgiopoulos, M., and Anagnostopoulos, G. C., ?Multi-Task Classification Hypothesis Space with Improved Generalization Bounds ?, IEEE Transactions on Neural Networks and Learning Systems, vol. accepted for publication (acceptance was communicated in July 2014), 2014.

T.  Zhang, Georgiopoulos, M., and Anagnostopoulos, G. C., ?Online Model Racing Based on Extreme Performance?, in GECCO 2014, Vancouver, Canada, July 12-16, 2014, accepted for publication, 2014.

C.  Li, Georgiopoulos, M., and Anagnostopoulos, G. C., ?Pareto-Path Multi-task Multiple Kernel Learning?, IEEE Transactions on Neural Networks and Learning Systems, vol. accepted for publication (acceptance was communicated in June 2014), 2014.

C.  Li, Georgiopoulos, M., and Anagnostopoulos, G. C., ?A Unifying Framework for Typical Multitask, Multiple Kernel Learning Problems?, IEEE Transactions on Neural Networks and Learning Systems, vol. 25, no. 7, pp. 1287-1297, 2014.

L.  Massi, Georgiopoulos, M., Young, C. Y., Ford, C. M., Lancey, P., Bhati, D., and Small, K. A., ?Internships and Undergraduate Research: Impact, Support, and Institutionalization of an NSF S-STEM Program through Partnerships with Industry and Funding from Federal and Local Workforce Agencies?, Proceedings of the 120th ASEE Conference and Exposition. Atlanta, GA, June 23-26, 2013.

C.  Li, Georgiopoulos, M., and Anagnostopoulos, G. C., ?Kernel-based Distance Metric Learning in the Output Space?, in International Joint Conference on Neural Networks (IJCNN), Dallas, TX, August 04-09, 2013.

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.

T.  Zhang, Georgiopoulos, M., and Anagnostopoulos, G. C., ?S-RACE: A Multi-objective Racing Algorithm?, GECCO 2013, Proceedings of the fifteenth annual conference on Genetic and evolutionary computation conference. Amsterdam, the Netherlands, July 6-10, pp. 1565-1572, 2013.

L.  Massi, Lancey, P., Nair, U., Straney, R., Georgiopoulos, M., and Young, C., ?Engineering and Computer Science Community College Transfers and Native Freshmen Students: Relationships Among Participation in Extra-Curricular and Co-Curricular Activities, Connecting to the University Campus, and Academic Success?, in Frontiers in Education Conference, Seattle, WA, October 3-6, 2012.

T.  Zhang, Borrero, G., and Georgiopoulos, M., ?A Winner-Take-All Methodology: Finding the Best Evolutionary Algorithm for the Global Optimization of Functions?, Genetic and Evolutionary Computation Conference. Philadelphia, July 7th-July 11th, pp. 1515-1516, 2012.

Y.Huang, M. Georgiopoulos, R. DeMara,, and G.C. Anagnostopoulos, M. Georgiopoulos, ?Accelerated Learning of Generalized Sammon Mappings?, in International Joint Conference on Neural Networks (IJCNN), San Jose, CA, 2011.

C.  Young, Georgiopoulos, M., Hagen, S., Geiger, C., Dagley-Falls, M., Islas, A., Ramsey, P., Lancey, P., Forde, D., and Bradbury, E., ?Improving Student Learning in Calculus through Applications?, International Journal of Mathematical Education in Science and Technology, vol. 42, pp. 591-604, 2011.

C.Li, M. Georgiopoulos, R. DeMara,, and G.C. Anagnostopoulos, M. Georgiopoulos, ?Kernel Principal Subspace Mahalanobis Distances for Outlier Detection?, in International Joint Conference on Neural Networks (IJCNN), San Jose, CA, 2011.

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.

T.Rubio, Zhang, T., Georgiopoulos, M., and Kaylani, A., ?Multi-Objective Evolutionary Optimization of Exemplar-Based Classifiers: A PNN Test Case?, in International Joint Conference on Neural Networks (IJCNN), San Jose, CA, 2011.

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

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

R.  Miguez, Georgiopoulos, M., and Kaylani, A., ?A Genetically Engineered Probabilistic Neural Network?, Nonlinear Analysis: Theory, Methods & Applications, vol. 73, pp. 1783-1791, 2010.

C.  Puklavage, Pirela, A., Gonzalez, A. J., and Georgiopoulos, M., ?Imitating personalized expressions through an Avatar using Machine Learning?, in Proceedings of the 23rd International FLAIRS conference, 2010.

M.  Dagley-Falls, Georgiopoulos, M., and Young, C., ?Influencing sense of community in a STEM living-learning community: An NSF STEP funded project?, in Proceedings of the 2010 ASEE Conference and Exposition, 2010.

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.

A.  Kaylani, Georgiopoulos, M., Mollaghasemi, M., and Anagnostopoulos, G., ?MO-GART: An adaptive multi-objective approach to evolving ART architectures?, IEEE Transactions on Neural Networks, vol. 21, pp. 529-550, 2010.

A.  Kaylani, Georgiopoulos, M., Mollaghasemi, M., and Anagnostopoulos, G., ?MO-GART: An adaptive multi-objective approach to evolving ART architectures?, IEEE Transactions on Neural Networks, vol. 21, pp. 529-550, 2010.

A.  Koufakou, Secretan, J., and Georgiopoulos, M., ?Non-derivable itemsets for fast outlier detection in large high dimensional categorical data?, Knowledge and Information Systems, pp. 1-29, 2010.

R.  Ramirez-Padron, Foregger, D., Manuel, J., Georgiopoulos, M., and Mederos, B., ?Similarity Kernels for Nearest Neighbor-based Outlier Detection?, Lecture Notes in Computer Science, vol. 6065/2010, pp. 159-170, 2010.

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

J.  Secretan, Koufakou, A., and Georgiopoulos, M., ?APHID: A practical architecture for high-performance, privacy preserving, data-mining?, in DMIN 2009, Las Vegas,NV, 2009.

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

C.  Sentelle and G.C. Anagnostopoulos, G. M., ?A Fast Revised Simplex Method for SVM Training?, ICPR, 2009.

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.

J. R.  Beck, Garcia, M. E., Zhong, M., Georgiopoulos, M., and Anagnostopoulos, G. C., ?A Backward adjusting strategy for the C4.5 decision tree classifier, and the effect of the C4.5 parameters on the tree?s performance?, in 21st Artificial Intelligence Research Symposium, Coconut Grove, FL, 2008.

D.  Charalampidis, Anagnostopoulos, G. C., Kasparis, T., and Georgiopoulos, M., ?Classification of noisy patterns using ARTMAP-based neural networks?, Proceedings SPIE; Conference on Visual Information Processing IX, pp. 2-13, 2008.

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

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

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

S.  Verzi, Heileman, G., Georgiopoulos, M., and Healy, M., ?Hierarchical ARTMAP?, Proceedings of the International Joint Conference on Neural Networks (IJCNN), pp. 41?46, 2008.

J.  Reeder, Gita, S., Georgiopoulos, M., and Anagnostopoulos, G. C., ?Intelligent Trading Agents for Massively Multi-player Game Economies?, Proceedings of the Fourth Artificial Intelligence and Interactive Digital Entertainment Conference, pp. 102?107, 2008.

J.  Reeder, Miguez, R., Sparks, J., Georgiopoulos, M., and Anagnostopoulos, G. C., ?Interactively Evolved Modular Neural Networks for Game Agent Control?, IEEE Symposium on Computational Intelligence and Games (CIG 08, pp. 167?174, 2008.

M.  Zhong, Georgiopoulos, M., and Anagnostopoulos, G. C., ?A k -norm pruning algorithm for decision tree classifiers based on error rate estimation?, Machine Learning, vol. 71, pp. 55-88, 2008.

A.  Kaylani, Georgiopoulos, M., Mollaghasemi, M., and Anagnostopoulos, G., ?MO-GART: Multi-Objective Optimization of ART Architectures?, in 2008 IEEE Congress on Evolutionary Computation (IEEE CEC 2008), Hong Kong, 2008.

D.  Charalampidis, Kasparis, T., Jones, L., and Georgiopoulos, M., ?Use of multifractals to detect anomalous propagation (AP) in weather radar?, Proceedings SPIE; Conference on Signals and Data Processing of Small Targets, pp. 13?22, 2008.

J.  Castro, Georgiopoulos, M., and Secretan, J., ?Analyzing the Fuzzy ARTMAP Matchtracking mechanism with Co-Objective Optimization Theory?, Proceedings of the International IEEE-INNS-ENNS Joint Conference on Neural Networks (IJCNN), pp. 743?748, 2007.

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.

M.  Zhong, Georgiopoulos, M., and Anagnostopoulos, G. C., ?Experiments with an Innovative Tree Pruning Algorithm?, in IASTED International Conference on Artificial Intelligence and Applications, Innsbruck, Innsbruck, 2007.

M.  Zhong, Rosander, B., Georgiopoulos, M., Anagnostopoulos, G. C., Mollaghasemi, M., and Richie, S., ?Experiments with Safe micro-ARTMAP: Effect of the Network Parameters on the Network Performance?, Neural Networks, vol. 20.2, pp. 245?259, 2007.

C.  Sentelle, Georgiopoulos, M., Anagnostopoulos, G. C., and Young, C., ?On extending the SMO algorithm sub-problem?, Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2007.

C.  Sentelle, Hong, S. L., Anagnostopoulos, G. C., and Georgiopoulos, M., ?A fuzzy gap statistic for Fuzzy C-Means?, Proceedings of the 11th IASTED International Conference on Artificial, 2007.

C.  Sentelle, Hong, S. L., Georgiopoulos, M., and Anagnostopoulos, G. C., ?A Fuzzy Gap-statistic for Fuzzy C-Means?, in The 11th IASTED International Conference on Artificial Intelligence and Soft Computing (ASC 2007), Palma de Malorca, Spain, 2007.

A.  Kaylani, Al-Daraiseh, A., Georgiopoulos, M., Mollaghasemi, M., Anagnostopoulos, G. C., and Wu, A. S., ?Genetic Optimization of ART Neural Network Architectures?, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN 2007), pp. 379?384, 2007.

A.  Al-Daraiseh, Kaylani, A., Georgiopoulos, M., Mollaghasemi, M., Anagnostopoulos, G. C., and Kaburlasos, V. G., ?Genetically Engineered ART Architectures?, Heidelberg: Springer-Verlag,in Computational Intelligence Based on Lattice Theory,Studies in Computational Intelligence, vol. 67, pp. 233?262, 2007.

A.  Al-Dairaiseh, Kaylani, A., Georgiopoulos, M., Mollaghasemi, M., Wu, A. S., and Anagnostopoulos, G., ?GFAM Evolving Fuzzy ARTMAP Neural Networks?, Neural Networks journal, vol. 20, pp. 874-892, 2007.

A.  Al-Daraiseh, Kaylani, A., Georgiopoulos, M., Wu, A. S., Mollaghasemi, M., and Anagnostopoulos, G. C., ?GFAM:Evolving Fuzzy ARTMAP Neural Networks?, vol. 20.8, pp. 874?892, 2007.

M.  Zhong, Georgiopoulos, M., and Anagnostopoulos, G. C., ?k-Norm Misclassification Rate Estimation for Decision Trees?, Proceedings of the 11th IASTED International Conference on Artificial Intelligence and Soft Computing (ASC 2007), pp. 163?168, 2007.

A.  Kaylani, Georgiopoulos, M., Mollaghasemi, M., and Anagnostopoulos, G. C., ?M-GFAM:An Elegant Approach to Genetically Optimize Fuzzy ARTMAP Neural Network Architectures?, Proceedings of the 8th International Conference on Natural Computing (ICNC 2007),part of the 10th Joint Conference on Information Sciences (JCIS 2007), pp. 1617-1623, 2007.

J.  Castro, Secretan, J., Georgiopoulos, M., DeMara, R., Anagnostopoulos, G. C., and Gonzalez, A., ?Pipelining of Fuzzy ARTMAP without Matchtracking: Correctness,Performance Bound and Beowulf Evaluation?, Neural Networks, vol. 20.1, pp. 109?128, 2007.

J.  Secretan, Georgiopoulos, M., and Castro, J., ?A Privacy Preserving Probabilistic Neural Network for Horizontally Partitioned Databases?, 2007.

A.  Koufakou, Ortiz, E., Georgiopoulos, M., Anagnostopoulos, G. C., and Reynolds, M. K., ?A scalable and efficient otlier detection strategy for categorical data?, in Annual IEE International Conference on Tools with Artificial Intelligence, 2007 (ICTAI 2007),, Patras, Greece, 2007.

A.  Koufakou, Ortiz, E., Georgiopoulos, M., Anagnostopoulos, G. C., and Reynolds, K., ?A Scalable and Efficient Outlier Detection Strategy for Categorical Data?, International Conference on Tools with Artificial Intelligence (ICTAI), 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.  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.

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

S.  Verzi, Heileman, G. L., and Georgiopoulos, M., ?Boosted ARTMAP: Modifications to fuzzy ARTMAP motivated by boosting Theory?, Neural Networks, vol. 19.4, pp. 446?468, 2006.

A.  Koufakou, Weihs, N., Georgiopoulos, M., and Al-Daraiseh, A., ?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), vol. 16, pp. 695?704, 2006.

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

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

M.  Zhong, Rosander, B., Georgiopoulos, M., Anagnostopoulos, G. C., Mollaghasemi, M., and Richie, S., ?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), pp. 720?727, 2006.

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

M.  Zhong, Coggeshall, D., Ghaneie, E. G., Pope, T., Rivera, M. A., Georgiopoulos, M., and Anagnostopoulos, G. C., ?Gap-Based Estimation: Choosing the smoothing parameters for Probabilistic and General Regression Neural Networks?, in WCCI 2006, Vancouver, Canada, 2006.

M.  Zhong, Coggeshall, D., Georgiopoulos, M., Anagnostopoulos, G. C., Mollaghasemi, M., and Richie, S., ?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, pp. 1870?1877, 2006.

M.  Zhong, Georgiopoulos, M., Anagnostopoulos, G. C., and Mollaghasemi, M., ?Generalized Entropy for Splitting Numerical Attributes in Decision Tree Classifiers?, Proceedings of the 19th International Florida Artificial Intelligence Research Society (FLAIRS) Conference (FLAIRS 2006), pp. 604?609, 2006.

A.  Al-Dairaseh, Georgiopoulos, M., Wu, A. S., Anagnostopoulos, G., and Mollaghasemi, M., ?GFAM: A genetic algorithm optimization of Fuzzy ARTMAP?, in WCCI 2006 (Fuzzy Systems), Vancouver, Canada, 2006.

H. K.  Fernlund, Gonzalez, A. J., Georgiopoulos, M., and DeMara, R., ?Learning tactical human behavior through observation of human performance?, Cybernetics?Part B: Cybernetics,Man,IEEE Transactions on Systems, vol. 36.1, pp. 128?140, 2006.

J.  Secretan, Georgiopoulos, M., Maidhof, I., Shibly, P., and Hecker, J., ?Methods for Parallelizing the Probabilistic Neural Network on a Beowulf Cluster Computer?, 2006.

G. C.  Anagnostopoulos, Georgiopoulos, M., Ports, K., Richie, S., Cardinale, N., White, M., Kepuska, V., Chan, P. K., Wu, A., and Kysilka, M., ?Project EMD-MLR: Educational Materials Development and Research in Machine Learning for Undergraduate students?, in 2006 ASEE, Chicago, Illinois, 2006.

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

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

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.

J.  Castro, Georgiopoulos, M., DeMara, R., and Gonzalez, A., ?Data-partitioning using the Hilbert space filling curves Effect on the speed of convergence of Fuzzy ARTMAP for large database problems?, Neural Networks, vol. 18, pp. 967-984, 2005.

J.  Castro, Georgiopoulos, M., DeMara, R., and Gonzalez, A., ?Data-partitioning using the Hilbert space filling curves: Effect on the speed of convergence of Fuzzy ARTMAP for large database problems?, Neural Networks, vol. 18.7, pp. 967?984, 2005.

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

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

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

J.  Reeder, Georgiopoulos, M., Castro, J., Burns, S., Anagnostopoulos, G., and Mollaghasemi, M., ?Hilbert Space Filling Curve Nearest Neighbor?, in The ISAS and CITSA 2005, Orlando, FL, 2005.

A.  Vartak, Georgiopoulos, M., and Anagnostopoulos, G. C., ?On-line Gaussae Newton-based learning for fully recurrent neural networks?, Nonlinear Analysis, vol. 63, pp. e867?e876, 2005.

J.  Castro, Georgiopoulos, M., Secretan, J., DeMara, R., Anagnostopoulos, G. C., and Gonzalez, A., ?Parallelization of Fuzzy ARTMAP to improve its convergence speed: The network partitioning approach and the data partitioning approach?, Nonlinear Analysis: Theory,Methods and Applications, vol. 63.5-7, pp. e877?e889, 2005.

J.  Secretan, Georgiopoulos, M., Anagnostopoulos, G. C., Tapia, J., Chadha, A., and Huber, B., ?Parallelizing the Fuzzy ARTMAP Algorithm on a Beowulf Clusters?, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN 2005), pp. 475?480, 2005.

J.  Secretan, Castro, J., Chadha, A., Huber, B., Tapia, J., Georgiopoulos, M., Anagnostopoulos, G., and Richie, S., ?Pipelining of ART architectures (FAM, EAM, GAM) without match-tracking (MT)?, in 2005 Artificial Neural Networks in Engineering, St. Louis, MI, 2005.

M.  Zhong, Hecker, J., Maidhoff, I., Shibly, P., Georgiopoulos, M., Anagnostopoulos, G., and Mollaghasemi, M., ?Probabilistic Neural Network: Comparisons of the Cross-Validation Approach and a Fast Heuristic to choose the Smoothing Parameters?, in 2005 Artificial Neural Networks in Engineering, St. Louis, MI, 2005.

G. C.  Anagnostopoulos, Georgiopoulos, M., Ports, K., Richie, S., Cardinale, N., White, M., Kepuska, V., Chan, P. K., Wu, A., and Kysilka, M., ?Project EMD-MLR: Educational Materials Development and Research in Machine Learning for Undergraduate students?, in the ASEE 2005 Annual Conference and Exposition, Portland, Oregon, 2005.

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, 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.

J.  Castro, Georgiopoulos, M., DeMara, R., and Gonzalez, A., ?A data partitioning approach to speed the Fuzzy ARTMAP algorithm using the Hilbert space-filling curve?, pp. 2367?2372, 2004.

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

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

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

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

K.  Carr, Cannava, K., Pescatore, R., Georgiopoulos, M., and Anagnostopoulos, G., ?Fast Stable and on-line training of Fuzzy ARTMAP using a novel, conservative, slow learning strategy?, in ANNIE 2004 conference, St. Louis, MI, 2004.

K.  Carr, Cannava, K., Pescatore, R., Georgiopoulos, M., and Anagnostopoulos, G. C., ?Fast Stable and on-line training of Fuzzy ARTMAP using a novel,conservative,slow learning strategy?, Neural Networks, pp. 63?69, 2004.

J.  Castro, Georgiopoulos, M., DeMara, R., and Gonzalez, A., ?A Partitioned Fuzzy ARTMAP implementation for fast processing of large databases on sequential machines?, 2004.

J. J.  Vargas, DeMara, R. F., Gonzalez, A. J., Georgiopoulos, M., and Marshall, H., ?PDU Bundling and Replication for Reduction of Distributed Simulation Communication Traffic?, Journal of Defense Modeling and Simulation, vol. 1.3, pp. 171?183, 2004.

J.  Castro, Secretan, J., Georgiopoulos, M., DeMara, R. F., Anagnostopoulos, G., and Gonzalez, A., ?Pipelining of Fuzzy ARTMAP (FAM) without match-tracking?, in ANNIE 2004, St. Louis, MI, 2004.

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

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, 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.

G. C.  Anagnostopoulos, Bharadwaj, M., Georgiopoulos, M., Verzi, S., and Heileman, G., ?Exemplar-based pattern recognition via semi-supervised learning?, Neural Networks, pp. 2782?2787, 2003.

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.

G. C.  Anagnostopoulos and Georgiopoulos, M., ?Putting the utility of match tracking in Fuzzy ARTMAP training to the test?, pp. 1?6, 2003.

R. C.  Watkins, Reynolds, K. M., DeMara, R., Georgiopoulos, M., Gonzalez, A., and Eaglin, R., ?TRACKING DIRTY PROCEEDS: EXPLORING DATA MINING TECHNOLOGIES AS TOOLS TO INVESTIGATE MONEY LAUNDERING?, Police Practice and Research, vol. 4.2, pp. 163?178, 2003.

S.  Verzi, Heileman, G., Georgiopoulos, M., and Anagnostopoulos, G. C., ?Universal approximation with Fuzzy ART and Fuzzy ARTMAP?, Neural Networks, pp. 1987?1992, 2003.

G. C.  Anagnostopoulos, Georgiopoulos, M., Verzi, S., and Heileman, G., ?Boosted ellipsoid ARTMAP?, Proceedings of SPIE,Conference on Applications and Science of Computational Intelligence, vol. 4739, pp. 74?85, 2002.

G. C.  Anagnostopoulos and Georgiopoulos, M., ?Category regions as new geometrical concepts in Fuzzy-ART and Fuzzy-ARTMAP?, Neural Networks, vol. 15.10, pp. 1205-1221, 2002.

G. C.  Anagnostopoulos and Georgiopoulos, M., ?Ellipsoid ART/ARTMAP category regions for the choice-by-difference functions?, in Conference on Applications and Science of Computational Intelligence V, Orlando, FL, 2002.

G. C.  Anagnostopoulos and Georgiopoulos, M., ?Ellipsoid ART/ARTMAP category regions for the choice-by-difference functions?, Proceedings of SPIE,Conference on Applications and Science of Computational Intelligence V, vol. 4739, pp. 62?73, 2002.

D.  Charalampidis, Anagnostopoulos, G. C., Georgiopoulos, M., and Kasparis, T., ?Fuzzy ART and ARTMAP with adaptive weighted distances?, Proceedings of SPIE,Conference on Applications and Science of Computational Intelligence V, vol. 4739, pp. 86?97, 2002.

S.  Verzi, Heileman, G. L., Georgiopoulos, M., and Anagnostopoulos, G. C., ?Off-line structural risk minimization and BARTMAP-S?, in the 2002 International Joint Conference on Neural Networks, Honolulu, Hawaii, 2002.

S.  Verzi, Heileman, G., Georgiopoulos, M., and Anagnostopoulos, G. C., ?Off-line structural risk minimization and BARTMAP-S?, Neural Networks, pp. 2533?2538, 2002.

G. C.  Anagnostopoulos, Georgiopoulos, M., Verzi, S., and Heileman, G., ?Reducing generalization error and category proliferation in ellipsoid ARTMAP via tunable misclassification error tolerance: Boosted Ellipsoid ARTMAP?, Neural Networks, pp. 2650?2655, 2002.

C.  Christodoulou and Georgiopoulos, M., Applications of Neural Networks in Electromagnetics. Artech House, 2001, p. 512.

D.  Chralampidis, Kasparis, T., and Georgiopoulos, M., ?Classification of noisy signals using fuzzy ARTMAP neural networks?, Neural Networks, vol. 12.5, pp. 1023?1036, 2001.

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.  Koufakou, Georgiopoulos, M., Anagnostopoulos, G. C., and Kasparis, T., ?Cross-validation in Fuzzy ARTMAP for large databases?, Neural Networks, vol. 14.9, pp. 1279-1291, 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.

G. C.  Anagnostopoulos and Georgiopoulos, M., ?Ellipsoid ART and ARTMAP for incremental clustering and classification?, Proceedings of the International Joint Conference on Neural Networks, pp. 1221?1226, 2001.

G. C.  Anagnostopoulos and Georgiopoulos, M., ?Ellipsoid ART and ARTMAP for incremental unsupervised and supervised Learning?, Proceedings of SPIE; Conference on Applications and Science of Computational Intelligence IV, pp. 293?304, 2001.

G.  Anagnostopoulos and Georgiopoulos, M., ?Ellipsoidal ART and ARTMAP for incremental unsupervised and supervised learning?, in Conference on Applications and Science of Computational Intelligence IV, Orlando, FL, 2001.

M. J.  Johnson, Georgiopoulos, M., Mollaghasemi, M., and McGinnis, M., ?Improving human behavior in simulations ? OneSAF tested baseline intelligent computer generated objects?, in SCS, Military, Government and Aerospace Simulation Symposium 2001 (MGA 2001) Conference, Seattle, Washington, 2001.

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.

M. J.  Johnson, Mollaghasemi, M., Georgiopoulos, M., and McGinnis, M., ?A methodology for human behavior modeling in computer generated forces?, in Industrial Engineering Research Conference 2001 (IERC 2001), Dallas, TX, 2001.

G. C.  Anagnostopoulos and Georgiopoulos, M., ?New Geometrical Concepts in Fuzzy-ART and Fuzzy-ARTMAP: Category Regions?, IEEE-INNS International Joint Conference on Neural Networks (IJCNN 2001), pp. 32?37, 2001.

G. C.  Anagnostopoulos and Georgiopoulos, M., ?New geometrical perspective of fuzzy ART and fuzzy ARTMAP learning?, Proceedings of SPIE; Conference on Applications and Science of Computational Intelligence IV, pp. 22?32, 2001.

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.

S. J.  Verzi, Heileman, G. L., Georgiopoulos, M., and Healy, M. J., ?Rademacher penalization applied to Fuzzy ARTMAP and Boosted ARTMAP?, Proceedings of the International Joint Conference on Neural Networks, pp. 1191?1196, 2001.

W.  J. Park, Jones, L., Charalampidis, D., Kasparis, T., and Georgiopoulos, M., ?Sea-Ice extent classification using active/passive microwave measurements from QuickScat?, in AGU Spring meeting, Washington DC, 2001.

T.  Kasparis, Charalampidis, D., Georgiopoulos, M., and Rolland, J. P., ?Segmentation of textured images based on fractals and image filtering?, Pattern Recognition, vol. 34.10, pp. 1963?1973, 2001.

T.  Kasparis, Charalampidis, D., Georgiopoulos, M., and Rolland, J. P., ?Segmentation of textured images based on fractals and image filtering?, Pattern Recognition, vol. 34.10, pp. 1963?1978, 2001.

C.  Christodoulou and Georgiopoulos, M., ?Smart adaptive array antennas for wireless communcations?, Proceedings of SPIE; Conference on Digital Wireless Communication III, pp. 75?83, 2001.

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.

A.  Henninger, Gonzalez, A., Georgiopoulos, M., and DeMara, R., ?Modeling Semi-Automated Forces with Neural Networks: Performance Improvement through a Modular Approach?, 2000.

C.  Christodoulou, Georgiopoulos, M., and Zooghby, E. A., ?Multiple Source Angle of Arrival Estimation using Neural-Network-based Smart Antennas?, Proceedings SPIE; Conference on Digital Wireless Communications II, pp. 94?99, 2000.

A. H.  Zooghby, Christodoulou, C. G., and Georgiopoulos, M., ?A Neural Network-Based Smart Antenna for Multiple Source Tracking?, IEEE Transactions on Antennas and Propagation, vol. 48.5, pp. 768?776, 2000.

D.  Charalampidis, Kasparis, T., Jones, W. L., and Georgiopoulos, M., ?Use of multi-fractals to detect anomalous propagation (AP) in weather data?, in Proceedings SPIE; Conference on Signals and Data Processing of Small Targets, Orlando, FL, 2000.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.