Publications

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2009
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).
2008
Reeder, J, Gita S, Georgiopoulos M, Anagnostopoulos GC.  2008.  Intelligent Trading Agents for Massively Multi-player Game Economies. Proceedings of the Fourth Artificial Intelligence and Interactive Digital Entertainment Conference. :102–107.
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.
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.
Koufakou, A, Georgiopoulos M, Anagnostopoulos GC.  2008.  Detecting Outliers in High-Dimensional Datasets with Mixed Attributes. International Conference on Data Mining (DMIN 2008).
Reeder, J, Miguez R, Sparks J, Georgiopoulos M, Anagnostopoulos GC.  2008.  Interactively Evolved Modular Neural Networks for Game Agent Control. IEEE Symposium on Computational Intelligence and Games (CIG 08. :167–174.
Zhong, M, Georgiopoulos M, Anagnostopoulos GC.  2008.  A k -norm pruning algorithm for decision tree classifiers based on error rate estimation. Machine Learning. 71:55-88.
2007
Koufakou, A, Ortiz E, Georgiopoulos M, Anagnostopoulos GC, Reynolds MK.  2007.  A scalable and efficient otlier detection strategy for categorical data. Annual IEE International Conference on Tools with Artificial Intelligence, 2007 (ICTAI 2007),.
Kaylani, A, Georgiopoulos M, Mollaghasemi M, Anagnostopoulos GC.  2007.  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). :1617-1623.
Zhong, M, Georgiopoulos M, Anagnostopoulos GC.  2007.  Experiments with an Innovative Tree Pruning Algorithm. IASTED International Conference on Artificial Intelligence and Applications.
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.
Kaylani, A, Al-Daraiseh A, Georgiopoulos M, Mollaghasemi M, Anagnostopoulos GC, Wu AS.  2007.  Genetic Optimization of ART Neural Network Architectures. Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN 2007). :379–384.
Zhong, M, Georgiopoulos M, Anagnostopoulos GC.  2007.  k-Norm Misclassification Rate Estimation for Decision Trees. Proceedings of the 11th IASTED International Conference on Artificial Intelligence and Soft Computing (ASC 2007). :163–168.
Sentelle, C, Georgiopoulos M, Anagnostopoulos GC, Young C.  2007.  On extending the SMO algorithm sub-problem. Proceedings of the International Joint Conference on Neural Networks (IJCNN).
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).
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.
Al-Daraiseh, A, Kaylani A, Georgiopoulos M, Mollaghasemi M, Anagnostopoulos GC, Kaburlasos VG.  2007.  Genetically Engineered ART Architectures. Heidelberg: Springer-Verlag,in Computational Intelligence Based on Lattice Theory,Studies in Computational Intelligence. 67:233–262.
Al-Daraiseh, A, Kaylani A, Georgiopoulos M, Wu AS, Mollaghasemi M, Anagnostopoulos GC.  2007.  GFAM:Evolving Fuzzy ARTMAP Neural Networks. 20.8:874–892.
Rabadi, G, Anagnostopoulos GC, Mollaghasemi M.  2007.  A heuristic algorithm for the just-in-time single machine scheduling problem with setups: A comparison with simulated annealing. 32:326–335.
Rui, X, Anagnostopoulos GC, II WD.  2007.  Multiclass Cancer Classification Using Semisupervised Ellipsoid ARTMAP and Particle Swarm Optimization with Gene Expression Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 4.:65–77.
Castro, J, Secretan J, Georgiopoulos M, DeMara R, Anagnostopoulos GC, Gonzalez A.  2007.  Pipelining of Fuzzy ARTMAP without Matchtracking: Correctness,Performance Bound and Beowulf Evaluation. Neural Networks. 20.1:109–128.
Koufakou, A, Ortiz E, Georgiopoulos M, Anagnostopoulos GC, Reynolds K.  2007.  A Scalable and Efficient Outlier Detection Strategy for Categorical Data. International Conference on Tools with Artificial Intelligence (ICTAI).
2006
Zhong, M, Georgiopoulos M, Anagnostopoulos GC, Mollaghasemi M.  2006.  Generalized Entropy for Splitting Numerical Attributes in Decision Tree Classifiers. Proceedings of the 19th International Florida Artificial Intelligence Research Society (FLAIRS) Conference (FLAIRS 2006). :604–609.
Anagnostopoulos, GC, Georgiopoulos M, Ports K, Richie S, Cardinale N, White M, Kepuska V, Chan PK, Wu A, Kysilka M.  2006.  Project EMD-MLR: Educational Materials Development and Research in Machine Learning for Undergraduate students. 2006 ASEE.
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, 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, 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.
2005
Anagnostopoulos, GC, Georgiopoulos M, Ports K, Richie S, Cardinale N, White M, Kepuska V, Chan PK, Wu A, Kysilka M.  2005.  Project EMD-MLR: Educational Materials Development and Research in Machine Learning for Undergraduate students. the ASEE 2005 Annual Conference and Exposition.
Secretan, J, Georgiopoulos M, Anagnostopoulos GC, Tapia J, Chadha A, Huber B.  2005.  Parallelizing the Fuzzy ARTMAP Algorithm on a Beowulf Clusters. Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN 2005). :475–480.
Vartak, A, Georgiopoulos M, Anagnostopoulos GC.  2005.  On-line Gaussae Newton-based learning for fully recurrent neural networks. Nonlinear Analysis. 63:e867–e876.
Castro, J, Georgiopoulos M, Secretan J, DeMara R, Anagnostopoulos GC, Gonzalez A.  2005.  Parallelization of Fuzzy ARTMAP to improve its convergence speed: The network partitioning approach and the data partitioning approach. Nonlinear Analysis: Theory,Methods and Applications. 63.5-7:e877–e889.
2004
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.
2003
Anagnostopoulos, GC, Georgiopoulos M.  2003.  Putting the utility of match tracking in Fuzzy ARTMAP training to the test. :1–6.
Anagnostopoulos, GC, Bharadwaj M, Georgiopoulos M, Verzi S, Heileman G.  2003.  Exemplar-based pattern recognition via semi-supervised learning. Neural Networks. :2782–2787.
Verzi, S, Heileman G, Georgiopoulos M, Anagnostopoulos GC.  2003.  Universal approximation with Fuzzy ART and Fuzzy ARTMAP. Neural Networks. :1987–1992.
Georgiopoulos, M, Anagnostopoulos GC, Bharadwaj M.  2003.  Experimental comparisons of semi-supervised and supervised ART classifiers. The 16th International Flairs Conference.
2002
Verzi, S, Heileman GL, Georgiopoulos M, Anagnostopoulos GC.  2002.  Off-line structural risk minimization and BARTMAP-S. the 2002 International Joint Conference on Neural Networks.
Verzi, S, Heileman G, Georgiopoulos M, Anagnostopoulos GC.  2002.  Off-line structural risk minimization and BARTMAP-S. Neural Networks. :2533–2538.
Anagnostopoulos, GC, Georgiopoulos M, Verzi S, Heileman G.  2002.  Reducing generalization error and category proliferation in ellipsoid ARTMAP via tunable misclassification error tolerance: Boosted Ellipsoid ARTMAP. Neural Networks. :2650–2655.
Anagnostopoulos, GC, Georgiopoulos M.  2002.  Category regions as new geometrical concepts in Fuzzy-ART and Fuzzy-ARTMAP. Neural Networks. 15.10:1205-1221.
Anagnostopoulos, GC, Georgiopoulos M.  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, Verzi S, Heileman G.  2002.  Boosted ellipsoid ARTMAP. Proceedings of SPIE,Conference on Applications and Science of Computational Intelligence. 4739:74–85.
Anagnostopoulos, GC, Georgiopoulos M.  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.
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.
2001
Koufakou, A, Georgiopoulos M, Anagnostopoulos GC, Kasparis T.  2001.  Cross-validation in Fuzzy ARTMAP for large databases. Neural Networks. 14.9:1279-1291.
Anagnostopoulos, GC, Georgiopoulos M.  2001.  New Geometrical Concepts in Fuzzy-ART and Fuzzy-ARTMAP: Category Regions. IEEE-INNS International Joint Conference on Neural Networks (IJCNN 2001). :32–37.
Anagnostopoulos, GC, Georgiopoulos M.  2001.  Ellipsoid ART and ARTMAP for incremental clustering and classification. Proceedings of the International Joint Conference on Neural Networks. :1221–1226.
Georgiopoulos, M, Koufakou A, Anagnostopoulos GC, Kasparis T.  2001.  Over-training in Fuzzy ARTMAP: Myth or Reality? Proceedings of the International Joint Conference on Neural Networks. :1186–1190.
Georgiopoulos, M, 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.
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.  2001.  New geometrical perspective of fuzzy ART and fuzzy ARTMAP learning. Proceedings of SPIE; Conference on Applications and Science of Computational Intelligence IV. :22–32.
2000
Anagnostopoulos, GC, Georgiopoulos M.  2000.  Hypershere ART and ARTMAP for unsupervised and supervised incremental learning. the International Joint Conference on Neural Networks.
Anagnostopoulos, GC, Georgiopoulos M.  2000.  Hypersphere ART and ARTMAP for Unsupervised and Supervised,Incremental Learning. Proceedings of the International Joint Conference on Neural Networks (IJCNN). :59–64.
1997
Anagnostopoulos, GC, Georgiopoulos M, Nickerson D, Bebis G.  1997.  Ensembles of hybrid intelligent experts. 1997 IEEE International Conference on Systems, Man, and Cybernetics.