Michael Georgiopoulos - Publications

Affiliations: 
University of Central Florida, Orlando, FL, United States 
Area:
Artificial Intelligence, Computer Science

164 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2017 Zhang T, Georgiopoulos M, Anagnostopoulos GC. Pareto-Optimal Model Selection via SPRINT-Race. Ieee Transactions On Cybernetics. PMID 28166512 DOI: 10.1109/TCYB.2017.2647821  1
2016 Sentelle CG, Anagnostopoulos GC, Georgiopoulos M. A Simple Method for Solving the SVM Regularization Path for Semidefinite Kernels. Ieee Transactions On Neural Networks and Learning Systems. 27: 709-22. PMID 26011894 DOI: 10.1109/TNNLS.2015.2427333  1
2016 Dagley M, Georgiopoulos M, Reece A, Young C. Increasing Retention and Graduation Rates Through a STEM Learning Community Journal of College Student Retention: Research, Theory and Practice. 18: 167-182. DOI: 10.1177/1521025115584746  1
2015 Zhang T, Georgiopoulos M, Anagnostopoulos GC. Multi-Objective Model Selection via Racing. Ieee Transactions On Cybernetics. PMID 26277013 DOI: 10.1109/TCYB.2015.2456187  1
2015 Li C, Georgiopoulos M, Anagnostopoulos GC. Pareto-path multitask multiple kernel learning. Ieee Transactions On Neural Networks and Learning Systems. 26: 51-61. PMID 25532155 DOI: 10.1109/TNNLS.2014.2309939  1
2015 Li C, Georgiopoulos M, Anagnostopoulos GC. Multitask Classification Hypothesis Space With Improved Generalization Bounds. Ieee Transactions On Neural Networks and Learning Systems. 26: 1468-79. PMID 25167558 DOI: 10.1109/TNNLS.2014.2347054  1
2015 Zhang T, Georgiopoulos M, Anagnostopoulos GC. SPRINT multi-objective model racing Gecco 2015 - Proceedings of the 2015 Genetic and Evolutionary Computation Conference. 1383-1390. DOI: 10.1145/2739480.2754791  1
2015 Yousefi N, Georgiopoulos M, Anagnostopoulos GC. Multi-task learning with group-specific feature space sharing Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9285: 120-136. DOI: 10.1007/978-3-319-23525-7_8  1
2014 Zhang T, Georgiopoulos M, Anagnostopoulos GC. Online model racing based on extreme performance Gecco 2014 - Proceedings of the 2014 Genetic and Evolutionary Computation Conference. 1351-1358. DOI: 10.1145/2576768.2598336  1
2014 Li C, Georgiopoulos M, Anagnostopoulos GC. A unifying framework for typical multitask multiple kernel learning problems Ieee Transactions On Neural Networks and Learning Systems. 25: 1287-1297. DOI: 10.1109/TNNLS.2013.2291772  1
2014 Reeder J, Georgiopoulos M. Generative neural networks for multi-task life-long learning Computer Journal. 57: 427-450. DOI: 10.1093/comjnl/bxt120  1
2014 Li C, Georgiopoulos M, Anagnostopoulos GC. Conic multi-task classification Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8725: 193-208. DOI: 10.1007/978-3-662-44851-9_13  1
2013 Zhang T, Georgiopoulos M, Georgios C. S-Race: A multi-objective racing algorithm Gecco 2013 - Proceedings of the 2013 Genetic and Evolutionary Computation Conference. 1565-1572. DOI: 10.1145/2463372.2463561  1
2013 Li C, Georgiopoulos M, Anagnostopoulos GC. Kernel-based distance metric learning in the output space Proceedings of the International Joint Conference On Neural Networks. DOI: 10.1109/IJCNN.2013.6706862  1
2013 Huang Y, Li C, Georgiopoulos M, Anagnostopoulos GC. Reduced-rank local distance metric learning Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8190: 224-239. DOI: 10.1007/978-3-642-40994-3_15  1
2013 Dagley MA, Ramlakhan N, Young CY, Georgiopoulos M. Establishing a women's mentorship network in a STEM learning community Asee Annual Conference and Exposition, Conference Proceedings 1
2013 Massi L, Georgiopoulos M, Young CY, Ford CM, Lancey P, Bhati D, Small KA. Internships and undergraduate research: Impact, support, and institutionalization of an NSF S-STEM program through partnerships with industry and funding from federal and local workforce agencies Asee Annual Conference and Exposition, Conference Proceedings 1
2012 Zhang T, Borrero G, Georgiopoulos M. A Winner-Take-All methodology: Finding the best evolutionary algorithm for the global optimization of functions Gecco'12 - Proceedings of the 14th International Conference On Genetic and Evolutionary Computation Companion. 1515-1516. DOI: 10.1145/2330784.2331021  1
2012 Massi L, Lancey P, Nair U, Straney R, Georgiopoulos M, Young C. Engineering and computer science community college transfers and native freshmen students: Relationships among participation in extra-curricular and co-curricular activities, connecting to the university campus, and academic success Proceedings - Frontiers in Education Conference, Fie. DOI: 10.1109/FIE.2012.6462276  1
2011 Sentelle C, Anagnostopoulos GC, Georgiopoulos M. Efficient revised simplex method for SVM training. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 22: 1650-61. PMID 21900073 DOI: 10.1109/TNN.2011.2165081  1
2011 Huang Y, Georgiopoulos M, Anagnostopoulos GC. Accelerated learning of Generalized Sammon Mappings Proceedings of the International Joint Conference On Neural Networks. 2952-2960. DOI: 10.1109/IJCNN.2011.6033609  1
2011 Li C, Georgiopoulos M, Anagnostopoulos GC. Kernel principal subspace Mahalanobis distances for outlier detection Proceedings of the International Joint Conference On Neural Networks. 2528-2535. DOI: 10.1109/IJCNN.2011.6033548  1
2011 Rubio T, Zhang T, Georgiopoulos M, Kaylani A. Multi-objective evolutionary optimization of exemplar-based classifiers: A PNN test case Proceedings of the International Joint Conference On Neural Networks. 1722-1731. DOI: 10.1109/IJCNN.2011.6033432  1
2011 Young CY, Georgiopoulos M, Hagen SC, Geiger CL, Dagley-Falls MA, Islas AL, Ramsey PJ, Lancey PM, Straney RA, Forde DS, Bradbury EE. Improving student learning in calculus through applications International Journal of Mathematical Education in Science and Technology. 42: 591-604. DOI: 10.1080/0020739X.2010.550944  1
2011 Georgiopoulos M, Li C, Kocak T. Learning in the feed-forward random neural network: A critical review Performance Evaluation. 68: 361-384. DOI: 10.1016/j.peva.2010.07.006  1
2011 Koufakou A, Secretan J, Georgiopoulos M. Non-derivable itemsets for fast outlier detection in large high-dimensional categorical data Knowledge and Information Systems. 29: 697-725. DOI: 10.1007/s10115-010-0343-7  1
2011 Massi L, Georgiopoulos M, Young CY, Geiger C, Lancey P, Bhati D. Defining an evaluation framework for undergraduate research experiences Asee Annual Conference and Exposition, Conference Proceedings 1
2010 Kaylani A, Georgiopoulos M, Mollaghasemi M, Anagnostopoulos GC, Sentelle C. An adaptive multiobjective approach to evolving ART architectures. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 21: 529-50. PMID 20172827 DOI: 10.1109/TNN.2009.2037813  1
2010 Miguez R, Georgiopoulos M, Kaylani A. G-PNN: A genetically engineered probabilistic neural network Nonlinear Analysis, Theory, Methods and Applications. 73: 1783-1791. DOI: 10.1016/j.na.2010.04.080  1
2010 Secretan J, Georgiopoulos M, Koufakou A, Cardona K. APHID: An architecture for private, high-performance integrated data mining Future Generation Computer Systems. 26: 891-904. DOI: 10.1016/j.future.2010.02.017  1
2010 Koufakou A, Georgiopoulos M. A fast outlier detection strategy for distributed high-dimensional data sets with mixed attributes Data Mining and Knowledge Discovery. 20: 259-289. DOI: 10.1007/s10618-009-0148-z  1
2010 Ramirez-Padron R, Foregger D, Manuel J, Georgiopoulos M, Mederos B. Similarity kernels for nearest neighbor-based outlier detection Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6065: 159-170. DOI: 10.1007/978-3-642-13062-5_16  1
2010 Dagley-Falls M, Georgiopoulos M, Young C. Influencing sense of community in a STEM living-learning community Asee Annual Conference and Exposition, Conference Proceedings 1
2010 Puklavage C, Pirela A, Gonzalez AJ, Georgiopoulos M. Imitating personalized expressions in an avatar through machine learning Proceedings of the 23rd International Florida Artificial Intelligence Research Society Conference, Flairs-23. 68-73.  1
2010 Young C, Georgiopoulos M, Crouse T, Geiger C, Islas A, Hagen S, Dagley-Falls M, Ramsey P, Lancey P. Excel in mathematics: Applications of calculus Asee Annual Conference and Exposition, Conference Proceedings 1
2010 Massi L, Georgiopoulos M, Young C, Ducharme A, Ford C, Small K, Lancey P, Bhati D. YES: A NSF S-STEM scholarship program experience at the University of Central Florida Asee Annual Conference and Exposition, Conference Proceedings 1
2009 Georgiopoulos M, Demara RF, Gonzalez AJ, Wu AS, Mollaghasemi M, Gelenbe E, Kysilka M, Secretan J, Sharma CA, Alnsour AJ. A sustainable model for integrating current topics in machine learning research into the undergraduate curriculum Ieee Transactions On Education. 52: 503-512. DOI: 10.1109/TE.2008.930511  1
2009 Sentelle C, Anagnostopoulos GC, Georgiopoulos M. An efficient active set method for SVM training without singular inner problems Proceedings of the International Joint Conference On Neural Networks. 2875-2882. DOI: 10.1109/IJCNN.2009.5178948  1
2009 Kaylani A, Georgiopoulos M, Mollaghasemi M, Anagnostopoulos GC. AG-ART: An adaptive approach to evolving ART architectures Neurocomputing. 72: 2079-2092. DOI: 10.1016/j.neucom.2008.09.016  1
2009 Anagnostopoulos G, Georgiopoulos M, Kepuska V, Stanley K, Morrison-Shetlar A, Lancey P, Krist P, Crouse T. The AMALTHEA REU Program: Activities, experiences & outcomes of a collaborative summer research experience in machine learning Asee Annual Conference and Exposition, Conference Proceedings 1
2009 Georgiopoulos M, Young C, Geiger C, Hagen S, Parkinson C, Morrison-Shetlar A, Crouse T, Krist P, Lancey P, Dagley-Falls M, Ramsey P, Forde D, Koufakou A. Progress of the EXCEL program at the University of Central Florida: An NSF STEP funded project Asee Annual Conference and Exposition, Conference Proceedings 1
2008 Koufakou A, Secretan J, Reeder J, Cardona K, Georgiopoulos M. Fast parallel outlier detection for categorical datasets using MapReduce Proceedings of the International Joint Conference On Neural Networks. 3298-3304. DOI: 10.1109/IJCNN.2008.4634266  1
2008 Reeder J, Miguez R, Sparks J, Georgiopoulos M, Anagnostopoulos G. Interactively evolved modular neural networks for game agent control 2008 Ieee Symposium On Computational Intelligence and Games, Cig 2008. 167-174. DOI: 10.1109/CIG.2008.5035636  1
2008 Kaylani A, Georgiopoulos M, Mollaghasemi M, Anagnostopoulos GC. Efficient evolution of ART neural networks 2008 Ieee Congress On Evolutionary Computation, Cec 2008. 3456-3463. DOI: 10.1109/CEC.2008.4631265  1
2008 Kaylani A, Georgiopoulos M, Mollaghasemi M, Anagnostopoulos GC. MO-GART: Multiobjective genetic ART architectures 2008 Ieee Congress On Evolutionary Computation, Cec 2008. 1425-1432. DOI: 10.1109/CEC.2008.4630981  1
2008 Zhong M, Georgiopoulos M, Anagnostopoulos GC. A k-norm pruning algorithm for decision tree classifiers based on error rate estimation Machine Learning. 71: 55-88. DOI: 10.1007/s10994-007-5044-4  1
2008 Kursun O, Georgiopoulos M, Reynolds K. Name matching in law enforcement database Studies in Computational Intelligence. 135: 151-172. DOI: 10.1007/978-3-540-69209-6_9  1
2008 Koufakou A, Georgiopoulos M, Anagnostopoulos GC. Detecting outliers in high-dimensional datasets with mixed attributes Proceedings of the 2008 International Conference On Data Mining, Dmin 2008. 427-433.  1
2008 Zhong M, Georgiopoulos M, Anagnostopoulos GC. Properties of the k-norm pruning algorithm for decision tree classifiers Proceedings - International Conference On Pattern Recognition 1
2008 Sentelle C, Anagnostopoulos GC, Georgiopoulos M. A fast revised simplex method for SVM training Proceedings - International Conference On Pattern Recognition 1
2008 Reeder J, Sukthankar G, Georgiopoulos M, Anagnostopoulos G. Intelligent trading agents for massively multi-player game economies Proceedings of the 4th Artificial Intelligence and Interactive Digital Entertainment Conference, Aiide 2008. 102-107.  1
2008 Shorter NS, Kasparis T, Georgiopoulos M, Anagnostopoulos GC. Clustering irregular spaced lidar TINs for 3D reconstruction Imeti 2008 - International Multi-Conference On Engineering and Technological Innovation, Proceedings. 1: 209-214.  1
2008 Beck JR, Garcia M, Zhong M, Georgiopoulos M, Anagnostopoulos GC. A backward adjusting strategy and optimization of the C4.5 parameters to improve C4.5's performance Proceedings of the 21th International Florida Artificial Intelligence Research Society Conference, Flairs-21. 35-40.  1
2008 Da Vitoria Lobo N, Kasparis T, Kwok JT, Roli F, Georgiopoulos M, Anagnostopoulos GC, Loog M. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5342.  1
2007 Al-Daraiseh A, Kaylani A, Georgiopoulos M, Mollaghasemi M, Wu AS, Anagnostopoulos G. GFAM: evolving Fuzzy ARTMAP neural networks. Neural Networks : the Official Journal of the International Neural Network Society. 20: 874-92. PMID 17851035 DOI: 10.1016/j.neunet.2007.05.006  1
2007 Zhong M, Coggeshall D, Ghaneie E, Pope T, Rivera M, Georgiopoulos M, Anagnostopoulos GC, Mollaghasemi M, Richie S. Gap-based estimation: choosing the smoothing parameters for probabilistic and general regression neural networks. Neural Computation. 19: 2840-64. PMID 17716014 DOI: 10.1162/neco.2007.19.10.2840  1
2007 Zhong M, Rosander B, Georgiopoulos M, Anagnostopoulos GC, Mollaghasemi M, Richie S. Experiments with Safe muARTMAP : effect of the network parameters on the network performance. Neural Networks : the Official Journal of the International Neural Network Society. 20: 245-59. PMID 17239559 DOI: 10.1016/j.neunet.2006.11.008  1
2007 Castro J, Secretan J, Georgiopoulos M, DeMara R, Anagnostopoulos G, Gonzalez A. Pipelining of Fuzzy ARTMAP without matchtracking: correctness, performance bound, and Beowulf evaluation. Neural Networks : the Official Journal of the International Neural Network Society. 20: 109-28. PMID 17145166 DOI: 10.1016/j.neunet.2006.10.003  1
2007 Gul M, Catbas FN, Georgiopoulos M. Application of pattern recognition techniques to identify structural change in a laboratory specimen Proceedings of Spie - the International Society For Optical Engineering. 6529. DOI: 10.1117/12.717155  1
2007 Secretan J, Georgiopoulos M, Castro J. A privacy preserving probabilistic neural network for horizontally partitioned databases Ieee International Conference On Neural Networks - Conference Proceedings. 1554-1559. DOI: 10.1109/IJCNN.2007.4371189  1
2007 Sentelle C, Georgiopoulos M, Anagnostopoulos GC, Young C. On extending the SMO algorithm sub-problem Ieee International Conference On Neural Networks - Conference Proceedings. 886-891. DOI: 10.1109/IJCNN.2007.4371075  1
2007 Castro J, Georgiopoulos M, Secretan J. Analyzing the fuzzy ARTMAP matchtracking mechanism with co-objective optimization theory Ieee International Conference On Neural Networks - Conference Proceedings. 743-748. DOI: 10.1109/IJCNN.2007.4371050  1
2007 Kaylani A, Georgiopoulos M, Anagnostopoulos G, Mollaghasemi M. Genetic optimization of art neural network architectures Proceedings of the 11th Iasted International Conference On Artificial Intelligence and Soft Computing, Asc 2007. 225-230. DOI: 10.1109/IJCNN.2007.4370986  1
2007 Koufakou A, Ortiz EG, Georgiopoulos M, Anagnostopoulos GC, Reynolds KM. A scalable and efficient outlier detection strategy for categorical data Proceedings - International Conference On Tools With Artificial Intelligence, Ictai. 2: 210-217. DOI: 10.1109/ICTAI.2007.125  1
2007 Al-Daraiseh A, Kaylani A, Georgiopoulos M, Mollaghasemi M, Wu AS, Anagnostopoulos G. Genetically engineered ART architectures Studies in Computational Intelligence. 67: 233-262. DOI: 10.1007/978-3-540-72687-6_12  1
2007 Zhong M, Georgiopoulos M, Anagnostopoulos GC. Experiments with an innovative tree pruning algorithm Proceedings of the Iasted International Conference On Artificial Intelligence and Applications, Aia 2007. 353-358.  1
2007 Zhong M, Georgiopoulos M, Anagnostopoulos GC. 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.  1
2007 Kaylani A, Georgiopoulos M, Anagnostopoulos G, Mollaghasemi M. Genetic optimization of art neural network architectures Proceedings of the 11th Iasted International Conference On Artificial Intelligence and Soft Computing, Asc 2007. 225-230.  1
2007 Sentelle C, Hong SL, Georgiopoulos M, Anagnostopoulos GC. A fuzzy gap statistic for Fuzzy C-Means Proceedings of the 11th Iasted International Conference On Artificial Intelligence and Soft Computing, Asc 2007. 68-73.  1
2006 Fernlund HK, Gonzalez AJ, Georgiopoulos M, DeMara RF. Learning tactical human behavior through observation of human performance. Ieee Transactions On Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the Ieee Systems, Man, and Cybernetics Society. 36: 128-40. PMID 16468572 DOI: 10.1109/TSMCB.2005.855568  1
2006 Verzi SJ, Heileman GL, Georgiopoulos M. Boosted ARTMAP: modifications to fuzzy ARTMAP motivated by boosting theory. Neural Networks : the Official Journal of the International Neural Network Society. 19: 446-68. PMID 16343845 DOI: 10.1016/j.neunet.2005.08.013  1
2006 Kursun O, Koufakou A, Wakchaure A, Georgiopoulos M, Reynolds K, 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. 15: 839-848. DOI: 10.1142/S0218213006002977  1
2006 Al-Daraiseh A, Georgiopoulos M, Anagnostopoulos G, Wu AS, Mollaghasemi M. GFAM: A genetic algorithm optimization of Fuzzy ARTMAP Ieee International Conference On Fuzzy Systems. 315-322. DOI: 10.1109/FUZZY.2006.1681731  1
2006 Kursun O, Koufakou A, Chen B, Georgiopoulos M, Reynolds KM, Eaglin R. A dictionary-based approach to fast and accurate name matching in large law enforcement databases Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3975: 72-82. DOI: 10.1007/11760146_7  1
2006 Zhong M, Georgiopoulos M, Anagnostopoulos G, Mollaghasemi M. Generalized entropy for splitting on numerical attributes in decision trees Flairs 2006 - Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference. 2006: 604-609.  1
2006 Secretan J, Georgiopoulos M, Maidhof I, Shibly P, Hecker J. Methods for parallelizing the probabilistic neural network on a beowulf cluster computer Ieee International Conference On Neural Networks - Conference Proceedings. 2378-2385.  1
2006 Zhong M, Rosander B, Georgiopoulos M, Anagnostopoulos GC, Mollaghasemi M, Richie S. Experiments with safe μARTMAP and comparisons to other ART networks Ieee International Conference On Neural Networks - Conference Proceedings. 720-727.  1
2006 Anagnostopoulos G, Georgiopoulos M, Ports K, Samuel R, White M, Kepuska V, Chan P, Wu A, Kysilka M. Engaging undergraduate students in machine learning research: Progress, experiences and achievements of project EMD-MLR Asee Annual Conference and Exposition, Conference Proceedings 1
2006 Georgiopoulos M, Gelenbe E, DeMara R, Gonzalez A, Kysilka M, Mollaghasemi M, Wu A, Anagnostopoulos G, Russell I, Secretan J. Assessing and evaluating our CRCD experiences at the University of Central Florida: An NSF project Asee Annual Conference and Exposition, Conference Proceedings 1
2005 Castro J, Georgiopoulos M, Demara R, 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 : the Official Journal of the International Neural Network Society. 18: 967-84. PMID 15922562 DOI: 10.1016/j.neunet.2005.01.007  1
2005 Le Q, Anagnostopoulos GC, Georgiopoulos M, Ports K. An experimental comparison of semi-supervised ARTMAP architectures, GCS and GNG classifiers Proceedings of the International Joint Conference On Neural Networks. 5: 3121-3126. DOI: 10.1109/IJCNN.2005.1556426  1
2005 Secretan J, Castro J, Georgiopoulos M, Tapia J, Chadha A, Huber B, Anagnostopoulos G, Richie S. Parallelizing the fuzzy ARTMAP algorithm on a beowulf cluster Proceedings of the International Joint Conference On Neural Networks. 1: 475-480. DOI: 10.1109/IJCNN.2005.1555877  1
2005 Kursun O, Reynolds K, Eaglin R, Chen B, Georgiopoulos M. Development of an artificial intelligence system for detection and visualization of auto theft recovery patterns Proceedings of the 2005 Ieee International Conference On Computational Intelligence For Homeland Security and Personal Safety, Cihsps 2005. 2005: 25-29. DOI: 10.1109/CIHSPS.2005.1500605  1
2005 Vartak AA, Georgiopoulos M, Anagnostopoulos GC. On-line Gauss-Newton-based learning for fully recurrent neural networks Nonlinear Analysis, Theory, Methods and Applications. 63. DOI: 10.1016/j.na.2005.02.015  1
2005 Castro J, Georgiopoulos M, Secretan J, Demara RF, Anagnostopoulos G, 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. 63. DOI: 10.1016/j.na.2005.02.013  1
2005 Russell I, Markov Z, Neller T, Georgiopoulos M, Coleman S. Unifying an introduction to artificial intelligence course through machine learning laboratory experiences Asee Annual Conference and Exposition, Conference Proceedings. 14771-14789.  1
2005 Reeder J, Georgiopoulos M, Castro J, Burns S, Anagnostopoulos G, Mollaghasemi M. Hilbert Space Filling Curve (HSFC) Nearest Neighbor classifier 2nd International Conference On Cybernetics and Information Technologies, Systems and Applications, Citsa 2005, 11th International Conference On Information Systems Analysis and Synthesis, Isas 2005. 2: 273-278.  1
2005 Georgiopoulos M, Gelenbe E, Demara R, Gonzalez A, Kysilka M, Mollaghasemi M, Wu A, Anagnostopoulos G, Russell I, Secretan J. Progress on the CRCD experiences at the university of central florida: An NSF project Asee Annual Conference and Exposition, Conference Proceedings. 11699-11729.  1
2005 Anagnostopoulos GC, Georgiopoulos M, Ports K, Richie S, Cardinale N, White M, Kepuska V, Chan PK, Wu A, Kysilka M. Project EMD-MLR: Educational material development and research in machine learning for undergraduate students Asee Annual Conference and Exposition, Conference Proceedings. 11749-11757.  1
2004 Meyer-Bäse A, Jancke K, Wismüller A, Georgiopoulos M. Fast K-dimensional tree-structured vector quantization encoding method for image compression Optical Engineering. 43: 1012-1013. DOI: 10.1117/1.1683885  1
2004 Castro J, Georgiopoulos M, Demara R. A data parititioning approach to speed up the Fuzzy ARTMAP algorithm using the Hubert space-filling curve Ieee International Conference On Neural Networks - Conference Proceedings. 3: 2367-2372. DOI: 10.1109/IJCNN.2004.1380997  1
2004 Klodzinski J, Ai-Daraiseh A, Georgiopoulos M, Ai-Deek HM. Development of a java applet for generating truck trips from freight data Transportation Research Record. 10-17.  1
2004 Castro J, Georgiopoulos M, Demara R, Gonzalez A. A partitioned Fuzzy ARTMAP implementation for fast processing of large databases on sequential machines Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, Flairs 2004. 2: 623-628.  1
2004 Mollaghasemi M, Georgiopoulos M, Donnelly A, Cope D, Steele M. Educating middle and high school students in space operations: The simulation approach Proceedings - Winter Simulation Conference. 2: 2075-2080.  1
2004 Georgiopoulos M, Castro J, Gelenbe E, Demara R, Gonzalez A, Kysilka M, Mollaghasemi M, Wu A, Russell I. CRCD experiences at the university of Central Florida: An NSF project Asee Annual Conference Proceedings. 2489-2508.  1
2003 Anagnostopoulos GC, Georgiopoulos M. Putting the utility of match tracking in fuzzy ARTMAP training to the test Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 2774: 1-6.  1
2003 Anagnostopoulos GC, Bharadwaj M, Georgiopoulos M, Verzi SJ, Heileman GL. Exemplar-based Pattern Recognition via Semi-Supervised Learning Proceedings of the International Joint Conference On Neural Networks. 4: 2782-2787.  1
2003 Verzi SJ, Heileman GL, Georgiopoulos M, Anagnostopoulos GC. Universal Approximation with Fuzzy ART and Fuzzy ARTMAP Proceedings of the International Joint Conference On Neural Networks. 3: 1987-1992.  1
2003 Georgiopoulos M, Castro J, Wu A, DeMara R, Gelenbe E, Gonzalez A, Kysilka M, Mollaghasemi M. CRCD in Machine Learning at the University of Central Florida Preliminary Experiences Proceedings of the Annual Sigcse Conference On Innovation and Technology in Computer Science Education (Itisce). 8: 249.  1
2003 Georgiopoulos M, Russell I, Castro J, Wu A, Kysilka M, Demara R, Gonzalez A, Gelenbe E, Mollaghasemi M. A CRCD experience: Integrating machine learning concepts into introductory engineering and science programming courses Asee Annual Conference Proceedings. 12573-12595.  1
2002 Anagnostopoulo GC, Georgiopoulos M. Category regions as new geometrical concepts in Fuzzy-ART and Fuzzy-ARTMAP. Neural Networks : the Official Journal of the International Neural Network Society. 15: 1205-21. PMID 12425439 DOI: 10.1016/S0893-6080(02)00063-1  1
2002 Charalampidis D, Anagnostopoulos GC, Georgiopoulos M, Kasparis T. Fuzzy ART and fuzzy ARTMAP with adaptively weighted distances Proceedings of Spie - the International Society For Optical Engineering. 4739: 86-97. DOI: 10.1117/12.458723  1
2002 Anagnostopoulos GC, Georgiopoulos M, Verzi SJ, Heileman GL. Boosted ellipsoid ARTMAP Proceedings of Spie - the International Society For Optical Engineering. 4739: 74-85. DOI: 10.1117/12.458722  1
2002 Anagnostopoulos GC, Georgiopoulos M. Ellipsoid ART/ARTMAP category regions for the choice-by-difference category choice function Proceedings of Spie - the International Society For Optical Engineering. 4739: 62-73. DOI: 10.1117/12.458721  1
2002 Verzi SJ, Heileman GL, Georgiopoulos M, Anagnostopoulos G. Off-line structural risk minimization and BARTMAP-S Proceedings of the International Joint Conference On Neural Networks. 3: 2533-2538.  1
2002 Anagnostopoulos GC, Georgiopoulos M, Verzi SJ, Heileman GL. Reducing generalization error and category proliferation in ellipsoid ARTMAP via tunable misclassification error tolerance: Boosted ellipsoid ARTMAP Proceedings of the International Joint Conference On Neural Networks. 3: 2650-2655.  1
2001 Koufakou A, Georgiopoulos M, Anagnostopoulos G, Kasparis T. Cross-validation in fuzzy ARTMAP for large databases. Neural Networks : the Official Journal of the International Neural Network Society. 14: 1279-91. PMID 11718426 DOI: 10.1016/S0893-6080(01)00090-9  1
2001 Christodoulou CG, Georgiopoulos M. Smart adaptive array antennas for wireless communications Proceedings of Spie - the International Society For Optical Engineering. 4395: 75-83. DOI: 10.1117/12.438297  1
2001 Anagnostopoulos GC, Georgiopoulos M. Ellipsoid ART and ARTMAP for incremental unsupervised and supervised learning Proceedings of Spie - the International Society For Optical Engineering. 4390: 293-304. DOI: 10.1117/12.421180  1
2001 Anagnostopoulos GC, Georgiopoulos M. New geometrical perspective of Fuzzy ART and Fuzzy ARTMAP learning Proceedings of Spie - the International Society For Optical Engineering. 4390: 22-32. DOI: 10.1117/12.421172  1
2001 Georgiopoulos M, Koufakou A, Anagnostopoulos G, Kasparis T. Cross-validation in Fuzzy ARTMAP neural networks for large sample classification problems Proceedings of Spie - the International Society For Optical Engineering. 4390: 1-11. DOI: 10.1117/12.421155  1
2001 Charalampidis D, Kasparis T, Georgiopoulos M. Classification of noisy signals using fuzzy ARTMAP neural networks Ieee Transactions On Neural Networks. 12: 1023-1036. DOI: 10.1109/72.950132  1
2001 Kasparis T, Charalampidis D, Georgiopoulos M, Rolland J. Segmentation of textured images based on fractals and image filtering Pattern Recognition. 34: 1963-1973. DOI: 10.1016/S0031-3203(00)00126-6  1
2001 Anagnostopoulos GC, Georgiopoulos M. New geometrical concepts in Fuzzy-ART and Fuzzy-ARTMAP: Category regions Proceedings of the International Joint Conference On Neural Networks. 1: 32-37.  1
2001 Anagnostopoulos GC, Georgiopoulos M. Ellipsoid ART and ARTMAP for incremental clustering and classification Proceedings of the International Joint Conference On Neural Networks. 2: 1221-1226.  1
2001 Verzi SJ, Heileman GL, Georgiopoulos M, Healy MJ. Rademacher penalization applied to Fuzzy ARTMAP and Boosted ARTMAP Proceedings of the International Joint Conference On Neural Networks. 2: 1191-1196.  1
2001 Georgiopoulos M, Koufakou A, Anagnostopoulos GC, Kasparis T. Overtraining in Fuzzy ARTMAP: Myth or reality? Proceedings of the International Joint Conference On Neural Networks. 2: 1186-1190.  1
2001 Henninger AE, Gonzalez AJ, Georgiopoulos M, DeMara RF. A connectionist-symbolic approach to modeling agent behavior: Neural networks grouped by contexts Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2116: 198-209.  1
2000 El Zooghby AH, Christodoulou CG, Georgiopoulos M. A neural network-based smart antenna for multiple source tracking Ieee Transactions On Antennas and Propagation. 48: 768-776. DOI: 10.1109/8.855496  1
2000 Christodoulou CG, Georgiopoulos M, El Zooghby AH. Multiple source angle of arrival estimation using neural-network based smart antennas Proceedings of Spie - the International Society For Optical Engineering. 4045: 94-99.  1
1999 Dagher I, Georgiopoulos M, Heileman GL, Bebis G. An ordering algorithm for pattern presentation in fuzzy ARTMAP that tends to improve generalization performance Ieee Transactions On Neural Networks. 10: 768-778. DOI: 10.1109/72.774217  1
1999 Georgiopoulos M, Dagher I, Heileman GL, Bebis G. Properties of learning of a Fuzzy ART Variant Neural Networks. 12: 837-850. DOI: 10.1016/S0893-6080(99)00031-3  1
1999 El Zooghby AH, Christodoulou CG, Georgiopoulos M. Neural-network-based linearly constrained minimum variance beamformer Microwave and Optical Technology Letters. 21: 451-455. DOI: 10.1002/(SICI)1098-2760(19990620)21:6<451::AID-MOP15>3.0.CO;2-M  1
1999 Zooghby AHE, Christodoulou CG, Georgiopoulos M. Multiple mobile user tracking with neural network-based adaptive array antennas Proceedings of Spie - the International Society For Optical Engineering. 3708: 88-97.  1
1998 Charalampidis D, Kasparis T, Georgiopoulos M. Texture classification using ART-based neural networks and fractals Proceedings of Spie - the International Society For Optical Engineering. 3374: 212-222. DOI: 10.1117/12.327099  1
1998 El Zooghby AH, Christodoulou CG, Georgiopoulos M. Neural network-based adaptive beamforming for one- and two-dimensional antenna arrays Ieee Transactions On Antennas and Propagation. 46: 1891-1893. DOI: 10.1109/8.743843  1
1998 Bebis G, Georgiopoulos M, Da Vitoria Lobo N. Using self-organizing maps to learn geometric hash functions for model-based object recognition Ieee Transactions On Neural Networks. 9: 560-570. DOI: 10.1109/72.668897  1
1998 Mollaghasemi M, Lecroy K, Georgiopoulos M. Application of neural networks and simulation modeling in manufacturing system design Interfaces. 28: 100-114.  1
1998 Dagher I, Georgiopoulos M, Heileman GL, Bebis G. Ordered Fuzzy ARTMAP: A Fuzzy ARTMAP algorithm with a fixed order of pattern presentation Ieee International Conference On Neural Networks - Conference Proceedings. 3: 1717-1721.  1
1998 Dagher I, Georgiopoulos M, Heileman GL, Bebis G. Fuzzy ARTVar: An improved fuzzy ARTMAP algorithm Ieee International Conference On Neural Networks - Conference Proceedings. 3: 1688-1693.  1
1998 El Zooghby AH, Christodoulou CG, Georgiopoulos M. Adaptive interference cancellation in circular arrays with radial basis function neural networks Ieee Antennas and Propagation Society, Ap-S International Symposium (Digest). 1: 203-206.  1
1998 El Zooghby AH, Christodoulou CG, Georgiopoulos M. Novel approach to adaptive nulling with neural networks Conference Proceedings - Ieee Southeastcon. 216-219.  1
1998 Bebis G, Georgiopoulos M, Shah M, Da Vitoria Lobo N. Indexing Based on Algebraic Functions of Views Computer Vision and Image Understanding. 72: 360-378.  1
1997 Bebis G, Georgiopoulos M, Kasparis T. Coupling weight elimination with genetic algorithms to reduce network size and preserve generalization Neurocomputing. 17: 167-194. DOI: 10.1016/S0925-2312(97)00050-7  1
1997 El Zooghby AH, Christodoulou CG, Georgiopoulos M. Antenna array signal processing with neural networks for direction of arrival estimation Ieee Antennas and Propagation Society, Ap-S International Symposium (Digest). 4: 2274-2277.  1
1996 Heileman GL, Bebis G, Fernlund H, Georgiopoulos M. Order of Search in Fuzzy ART and Fuzzy ARTMAP: Effect of the Choice Parameter. Neural Networks : the Official Journal of the International Neural Network Society. 9: 1541-1559. PMID 12662552 DOI: 10.1016/S0893-6080(96)00018-4  1
1996 Bebis G, Georgiopoulos M, Da Vitoria Lobo N, Shah M. Learning affine transformations of the plane for model-based object recognition Proceedings - International Conference On Pattern Recognition. 4: 60-64. DOI: 10.1109/ICPR.1996.547234  1
1996 Ho CS, Liou JJ, Georgiopoulos M, Christodoulou C. A Mixed Analog/Digital VLSI Design and Simulation of An Adaptive Resonance Theory (ART) Neural Network Architecture Simulation. 66: 31-39.  1
1995 Christodoulou CG, Huang J, Georgiopoulos M, Liou JJ. Design of gratings and frequency selective surfaces using Fuzzy ARTMAP neural networks Journal of Electromagnetic Waves and Applications. 9: 17-36. DOI: 10.1163/156939395X00235  1
1995 Huang J, Georgiopoulos M, Heileman GL. Fuzzy ART properties Neural Networks. 8: 203-213. DOI: 10.1016/0893-6080(94)00073-U  1
1995 Christodoulou CG, Huang J, Georgiopoulos M, Liou JJ. On the application of a neural network in the design of cascaded gratings Microwave and Optical Technology Letters. 8: 171-175.  1
1994 Heileman GL, Georgiopoulos M, Abdallah C. A Dynamical Adaptive Resonance Architecture Ieee Transactions On Neural Networks. 5: 873-889. DOI: 10.1109/72.329684  1
1994 Bebis G, Georgiopoulos M. Why network size is so important Ieee Potentials. 13: 27-31. DOI: 10.1109/45.329294  1
1994 Ho CS, Liou JJ, Georgiopoulos M, Heileman GL, Christodoulou C. Analogue circuit design and implementation of an adaptive resonance theory (ART) neural network architecture International Journal of Electronics. 76: 271-291. DOI: 10.1080/00207219408925926  1
1994 Georgiopoulos M, Huang J, Heileman GL. Properties of learning in ARTMAP Neural Networks. 7: 495-506. DOI: 10.1016/0893-6080(94)90083-3  1
1994 Ho CS, Liou JJ, Georgiopoulos M. Hardware implementation of ART1 memories using a mixed analog/digital approach Ieee International Conference On Neural Networks - Conference Proceedings. 4: 2137-2142.  1
1994 Christodoulou CG, Huang J, Georgiopoulos M, Liou JJ. Application of the artmap neural network in the design of cascaded gratings and frequency selective surfaces Ieee Antennas and Propagation Society, Ap-S International Symposium (Digest). 1: 562-565.  1
1993 Wuerz D, Llou JJ, Georgiopoulos M. Circuit simulation of adaptive resonance theory (ART) neural network using Pspice International Journal of Electronics. 74: 101-110. DOI: 10.1080/00207219308925817  1
1992 Heileman GL, Georgiopoulos M, Roome WD. A General Framework for Concurrent Simulation Of Neural Network Models Ieee Transactions On Software Engineering. 18: 551-562. DOI: 10.1109/32.148474  1
1992 Georgiopoulos M, Heileman GL, Huang J. The N-N-N conjecture in ART1 Neural Networks. 5: 745-753. DOI: 10.1016/S0893-6080(05)80135-2  1
1991 Georgiopoulos M. Correction to “Packet Error Probabilities in Frequency Hopped Spread-Spectrum Packet Radio Networks-Memoryless Frequency Hopping Patterns Considered” Ieee Transactions On Communications. 39: 362-364. DOI: 10.1109/26.79273  1
1991 Georgiopoulos M, Heileman GL, Huang J. Properties of learning related to pattern diversity in ART1 Neural Networks. 4: 751-757. DOI: 10.1016/0893-6080(91)90055-A  1
1991 Georgiopoulos M. On the packet error probability of coded frequency-hopped spread-spectrum systems with codeword interleaving Proceedings - Ieee Military Communications Conference. 2: 601-605.  1
1991 Frederick TJ, Belkerdid MA, Georgiopoulos M. Error control coding for meteor burst channels Proceedings - Ieee Military Communications Conference. 3: 1033-1036.  1
1991 Smith BO, Georgiopoulos M, Belkerdid MA. Comparison of BCH and convolutional codes in a direct sequence spread spectrum multiple access packet radio network Proceedings - Ieee Military Communications Conference. 3: 1028-1032.  1
1991 Kasparis T, Georgiopoulos M, Payne E. Non-linear filtering techniques for narrow-band interference rejection in direct sequence spread-spectrum systems Proceedings - Ieee Military Communications Conference. 1: 360-364.  1
1990 Georgiopoulos M. Packet Error Probabilities in Direct-Sequence Spread-Spectrum Packet Radio Networks Ieee Transactions On Communications. 38: 1599-1606. DOI: 10.1109/26.61402  1
1990 Georgiopoulos M. On the Error Probability of Coded Frequency-Hopped Spread-Spectrum Multiple-Access Systems with More Than One Code Symbol per Dwell Interval Ieee Transactions On Communications. 38: 1321-1324. DOI: 10.1109/26.61371  1
1990 Bassiouni M, Georgiopoulos M, Thompson J. Analytical and simulation models for real-time networks Modeling and Simulation, Proceedings of the Annual Pittsburgh Conference. 21: 1507-1511.  1
1990 Kasparis T, Eichmann G, Georgiopoulos M, Heileman GL. Image pattern algorithms using neural networks Proceedings of Spie - the International Society For Optical Engineering. 1297: 298-306.  1
1988 Georgiopoulos M. Packet Error Probabilities in Frequency-Hopped Spread-Spectrum Packet Radio Networks—Memoryless Frequency-Hopping Patterns Considered Ieee Transactions On Communications. 36: 720-723. DOI: 10.1109/26.2792  1
1986 Georgiopoulos M, Merakos L, Papantonikazakos P. HIGH PERFORMANCE ASYNCHRONOUS LIMITED SENSING ALGORITHMS FOR CSMA AND CSMA-CD CHANNELS Advances in Telecommunication Networks Series. 185-214.  1
1985 Georgiopoulos M, Papantoni-Kazakos P. Collision Resolution Protocols Utilizing Absorptions and Collision Multiplicities Ieee Transactions On Communications. 33: 721-724. DOI: 10.1109/TCOM.1985.1096366  1
1985 Georgiopoulos M, Merakos L, Papantoni-Kazakos P. ASYNCHRONOUS STACK ALGORITHM FOR CSMA AND CSMA-CD CHANNELS Proceedings - Ieee Infocom. 404-409.  1
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