Publications

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Conference Paper
Mollaghasemi, M, LeCroy K, Georgiopoulos M.  1996.  Applications of neural networks and simulation modeling in manufacturing system design. Southcon 96.
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.
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.
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.
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.
Kaylani, A, Georgiopoulos M, Mollaghasemi M, Anagnostopoulos G.  2008.  Efficient Evolution of ART Neural Networks. 2008 IEEE Congress on Evolutionary Computation (IEEE CEC 2008).
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.
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).
Reeder, J, Georgiopoulos M, Castro J, Burns S, Anagnostopoulos G, Mollaghasemi M.  2005.  Hilbert Space Filling Curve Nearest Neighbor. The ISAS and CITSA 2005.
Johnson, MJ, Georgiopoulos M, Mollaghasemi M, McGinnis M.  2001.  Improving human behavior in simulations – OneSAF tested baseline intelligent computer generated objects. SCS, Military, Government and Aerospace Simulation Symposium 2001 (MGA 2001) Conference.
Johnson, MJ, Mollaghasemi M, Georgiopoulos M, McGinnis M.  2001.  A methodology for human behavior modeling in computer generated forces. Industrial Engineering Research Conference 2001 (IERC 2001).
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).
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.
Journal Article
Kaylani, A, Georgiopoulos M, Mollaghasemi M, Anagnostopoulos G.  2009.  AG-ART: An Adaptive Method of Evolving ART Architectures. Neurocomputing. 72:2079-2092.
Mollaghasemi, M, LeCroy K, Georgiopoulos M.  1998.  Application of neural networks and simulation modeling in manufacturing system design. INTERFACES. 28:100-114.
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, 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.
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.
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.
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.
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.
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.
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.
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.