Publications

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2011

Georgiopoulos, M, Li C, Kocak T. 2011. Learning in the Feed-Forward Random Neural Network: A Critical Review. Performance Evaluation. 68:361-384.

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

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

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

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

2010

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

Georgiopoulos, M, Li C, Kocak T. 2010. Learning in the Feed-Forward Random Neural Network: A Critical Review. the 25th International Symposium on Computer and Information Sciences.

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

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

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.

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.

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

Georgiopoulos, M, Li C, Kocak T. 2010. Learning in the Feed-Forward Random Neural Network: A Critical Review. Performance Evaluation.

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

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

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

2009

Georgiopoulos, M, DeMara RF, Gonzalez AJ, Wu AS, Mollaghasemi M, Gelenbe E, Kysilka M, Secretan J, Sharma CA, Alnsour AJ. 2009. A Sustainable Model for Integrating Current Topics in Machine Learning Research in the Undergraduate Curriculum. IEEE Transactions on Education. 52:503-512.

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).

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

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

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

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.

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

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

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

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

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.

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).

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),.

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.

Secretan, J, Lawson M, Boloni L. 2007. Brokering Algorithms for Composing Low Cost Distributed Storage Resources.

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.

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.

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).

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

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-Dairaiseh, A, Kaylani A, Georgiopoulos M, Mollaghasemi M, Wu AS, Anagnostopoulos G. 2007. GFAM Evolving Fuzzy ARTMAP Neural Networks. Neural Networks journal. 20:874-892.

Al-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).

Gonzalez, A, Georgiopoulos M, DeMara R. 2007. Using Context-Based Neural Networks to Maintain Coherence Among Entities’ States in a Distributed Simulation. The Journal of Defense Modeling and Simulation. 4:147-172.

Gonzalez, A, Georgiopoulos M, DeMara R. 2007. Using context-based neural networks to maintain coherence in distributed simulations. The Journal of Defense Modeling and Simulation. 4:417-172.

2006

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

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.

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.

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.

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

Al-Dairaseh, A, Georgiopoulos M, Wu AS, Anagnostopoulos G, Mollaghasemi M. 2006. GFAM: A genetic algorithm optimization of Fuzzy ARTMAP. WCCI 2006 (Fuzzy Systems).

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.

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

Shorter, N, Kasparis T. 2006. 3D Reconstruction of Irregular Spaced LIDAR. Proceedings of the 6th WSEAS International Conference on Systems Theory and Scientific Computation.

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.

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.

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

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.

Shorter, N, Kasparis T. 2006. Fuzzy SART Clustering for 3D Reconstruction from Irregular LIDAR Data. 2.8:1122–1129.

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.

Fernlund, HK, Gonzalez AJ, Georgiopoulos M, DeMara R. 2006. Learning tactical human behavior through observation of human performance. Cybernetics–Part B: Cybernetics,Man,IEEE Transactions on Systems. 36.1:128–140.

2005

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.

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

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

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.

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).

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.

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.

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

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.

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.

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.

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 G. 2004. Fast Stable and on-line training of Fuzzy ARTMAP using a novel, conservative, slow learning strategy. ANNIE 2004 conference.

Castro, J, Secretan J, Georgiopoulos M, DeMara RF, Anagnostopoulos G, Gonzalez A. 2004. Pipelining of Fuzzy ARTMAP (FAM) without match-tracking. ANNIE 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.

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

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.

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.

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.

J.J. Vargas, R.F. DeMara, GGMMAJH. 2004. PDU Bundling and Replication for Reduction of Distributed Simulation Communication Traffic. Methodology,Technology,Journal of Defense Modeling and Simulation: Applications. 1.3:171–183.

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.

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.

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.

Vargas, JJ, DeMara RF, Gonzalez AJ, Georgiopoulos M, Marshall H. 2004. PDU Bundling and Replication for Reduction of Distributed Simulation Communication Traffic. Journal of Defense Modeling and Simulation. 1.3:171–183.