T.  Zhang, M. Georgiopoulos, R. DeMara,, and Anagnostopoulos, G. C., ?Pareto Optimal Selection via SPRINT-Race?, IEEE Transactions on Cybernetics, vol. 48, no. 2, pp. 596-610, 2018.

C.  Sentelle, Anagnostopoulos, G. C., and M. Georgiopoulos, R. DeMara, ?A Simple Method for Solving the SVM Regularization Path for Semi-Definite Kernels?, IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 4, pp. 709-722, 2016.

T.  Zhang, M. Georgiopoulos, R. DeMara,, and Anagnostopoulos, G. C., ?Multi-Objective Model Selection via Racing?, IEEE Transactions on Cybernetics, vol. 46, no. 8, pp. 1863-1876, 2015.

C.  Li, M. Georgiopoulos, R. DeMara,, and Anagnostopoulos, G. C., ?Multi-Task Classification Hypothesis Space with Improved Generalization Bounds?, IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 7, pp. 1468-1479, 2015.

C.  Li, M. Georgiopoulos, R. DeMara,, and Anagnostopoulos, G. C., ?Pareto-Path Multi-Task Multiple Kernel Learning?, IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 1, pp. 51-61, 2015.

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

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.

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

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.

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.

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.

G.  Rabadi, Anagnostopoulos, G. C., and Mollaghasemi, M., ?A heuristic algorithm for the just-in-time single machine scheduling problem with setups: A comparison with simulated annealing?, vol. 32, pp. 326?335, 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.

X.  Rui, Anagnostopoulos, G. C., and II, W. D., ?Multiclass Cancer Classification Using Semisupervised Ellipsoid ARTMAP and Particle Swarm Optimization with Gene Expression Data?, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 4., pp. 65?77, 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.

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.

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.

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.

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.

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., 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, 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, 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.

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.

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.

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.

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.  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, 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.

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.

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.

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.

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.

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.

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.

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.

G. L.  Heileman, Georgiopoulos, M., and Abdallah, C., ?A dynamical adaptive resonance architecture?, IEEE Transactions on Neural Networks, vol. 5, pp. 873-889, 1994.