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Author Title Type [ Year(Desc)]
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.
2001
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.
F. Miwakeichi, Ramirez-Padron, R., and P. Valdes-Sosa, O. T., “A comparison of Non-linear Non-parametric Models for Epilepsy Data”, Computers in Biology and Medicine, vol. 31.1, pp. 41–57, 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.
2002
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.
2003
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.
2004
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.
G. G. M. M. A. J. H. J.J. Vargas, R.F. DeMara, “PDU Bundling and Replication for Reduction of Distributed Simulation Communication Traffic”, Methodology,Technology,Journal of Defense Modeling and Simulation: Applications, vol. 1.3, pp. 171–183, 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.
2005
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.
2006
N. Shorter and Kasparis, T., “3D Reconstruction of Irregular Spaced LIDAR”, Proceedings of the 6th WSEAS International Conference on Systems Theory and Scientific Computation, 2006.
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.
N. Shorter and Kasparis, T., “Fuzzy SART Clustering for 3D Reconstruction from Irregular LIDAR Data”, vol. 2.8, pp. 1122 – 1129, 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.
2007
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.
J. Secretan, Lawson, M., and Boloni, L., “Brokering Algorithms for Composing Low Cost Distributed Storage Resources”, 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.
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.

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