Michael Georgiopoulos

Jean-Philippe Thivierge, Ali Minai, Hava T. Siegelmann, Cesare Alippi, Michael Georgiopoulos: A year of neural network research: Special Issue on the 2011 International Joint Conference on Neural Networks. Neural Networks 32: 1-2 (2012)

Tiantian Zhang, Giselle Borrero, Michael Georgiopoulos: A winner-take-all methodology: finding the best evolutionary algorithm for the global optimization of functions. GECCO (Companion) 2012: 1515-1516

Anna Koufakou, Jimmy Secretan, Michael Georgiopoulos: Non-derivable itemsets for fast outlier detection in large high-dimensional categorical data. Knowl. Inf. Syst. 29(3): 697-725 (2011)

Michael Georgiopoulos, Cong Li, Taskin Koçak: Learning in the feed-forward random neural network: A critical review. Perform. Eval. 68(4): 361-384 (2011)

Christopher Sentelle, Georgios C. Anagnostopoulos, Michael Georgiopoulos: Efficient Revised Simplex Method for SVM Training. IEEE Transactions on Neural Networks 22(10): 1650-1661 (2011)

Talitha Rubio, Tiantian Zhang, Michael Georgiopoulos, Assem Kaylani: Multi-objective evolutionary optimization of exemplar-based classifiers: A PNN test case. IJCNN 2011: 1722-1731

Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos: Kernel principal subspace Mahalanobis distances for outlier detection. IJCNN 2011: 2528-2535

Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos: Accelerated learning of Generalized Sammon Mappings. IJCNN 2011: 2952-2960

Anna Koufakou, Michael Georgiopoulos: A fast outlier detection strategy for distributed high-dimensional data sets with mixed attributes. Data Min. Knowl. Discov. 20(2): 259-289 (2010)

Jimmy Secretan, Michael Georgiopoulos, Anna Koufakou, Kelvin Cardona: APHID: An architecture for private, high-performance integrated data mining. Future Generation Comp. Syst. 26(7): 891-904 (2010)

Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Christopher Sentelle, Mingyu Zhong: An adaptive multiobjective approach to evolving ART architectures. IEEE Transactions on Neural Networks 21(4): 529-550 (2010)

Cassondra Puklavage, Alexander R. Pirela, Avelino J. Gonzalez, Michael Georgiopoulos: Imitating Personalized Expressions in an Avatar through Machine Learning. FLAIRS Conference 2010

Ruben Ramirez-Padron, David Foregger, Julie Manuel, Michael Georgiopoulos, Boris Mederos: Similarity Kernels for Nearest Neighbor-Based Outlier Detection. IDA 2010: 159-170

Michael Georgiopoulos, Cong Li, Taskin Koçak: Learning in the feed-forward Random Neural Network: A Critical Review. ISCIS 2010: 155-160

Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos: AG-ART: An adaptive approach to evolving ART architectures. Neurocomputing 72(10-12): 2079-2092 (2009)

Michael Georgiopoulos, Ronald F. DeMara, Avelino J. Gonzalez, Annie S. Wu, Mansooreh Mollaghasemi, Erol Gelenbe, Marcella K. Kysilka, Jimmy Secretan, Carthik A. Sharma, Ayman J. Alnsour: A Sustainable Model for Integrating Current Topics in Machine Learning Research Into the Undergraduate Curriculum. IEEE Trans. Education 52(4): 503-512 (2009)

Jimmy Secretan, Anna Koufakou, Michael Georgiopoulos: APHID: A Practical Architecture for High-Performance, Privacy-Preserving Data Mining. DMIN 2009: 410-416

Anna Koufakou, Jimmy Secretan, Michelle Fox, Gary Gramajo, Georgios C. Anagnostopoulos, Michael Georgiopoulos: Outlier Detection for Large High-Dimensional Categorical Data using Non-Derivable and Non-Almost-Derivable Sets. DMIN 2009: 505-511

Christopher Sentelle, Georgios C. Anagnostopoulos, Michael Georgiopoulos: An efficient active set method for SVM training without singular inner problems. IJCNN 2009: 2875-2882

Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos: A k -norm pruning algorithm for decision tree classifiers based on error rate estimation. Machine Learning 71(1): 55-88 (2008)

John Reeder, Gita Sukthankar, Michael Georgiopoulos, Georgios C. Anagnostopoulos: Intelligent Trading Agents for Massively Multi-player Game Economies. AIIDE 2008

Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos: MO-GART: Multiobjective genetic ART architectures. IEEE Congress on Evolutionary Computation 2008: 1425-1432

Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos: Efficient evolution of ART neural networks. IEEE Congress on Evolutionary Computation 2008: 3456-3463

John Reeder, Roberto Miguez, Jessica Sparks, Michael Georgiopoulos, Georgios C. Anagnostopoulos: Interactively evolved modular neural networks for game agent control. CIG 2008: 167-174

Anna Koufakou, Michael Georgiopoulos, Georgios C. Anagnostopoulos: Detecting Outliers in High-Dimensional Datasets with Mixed Attributes. DMIN 2008: 427-433

Jason R. Beck, Maria Garcia, Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos: A Backward Adjusting Strategy and Optimization of the C4.5 Parameters to Improve C4.5's Performance. FLAIRS Conference 2008: 35-40

Christopher Sentelle, Georgios C. Anagnostopoulos, Michael Georgiopoulos: A fast revised simplex method for SVM training. ICPR 2008: 1-4

Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos: Properties of the k-norm pruning algorithm for decision tree classifiers. ICPR 2008: 1-4

Anna Koufakou, Jimmy Secretan, John Reeder, Kelvin Cardona, Michael Georgiopoulos: Fast parallel outlier detection for categorical datasets using MapReduce. IJCNN 2008: 3298-3304

Olcay Kursun, Michael Georgiopoulos, Kenneth M. Reynolds: Name Matching in Law Enforcement Database. Intelligence and Security Informatics 2008: 151-172

Niels da Vitoria Lobo, Takis Kasparis, Fabio Roli, James Tin-Yau Kwok, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Marco Loog (Eds.): Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshop, SSPR & SPR 2008, Orlando, USA, December 4-6, 2008. Proceedings. Lecture Notes in Computer Science 5342, Springer 2008, isbn 978-3-540-89688-3

Mingyu Zhong, Dave Coggeshall, Ehsan Ghaneie, Thomas Pope, Mark Rivera, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie: Gap-Based Estimation: Choosing the Smoothing Parameters for Probabilistic and General Regression Neural Networks. Neural Computation 19(10): 2840-2864 (2007)

José Castro, Jimmy Secretan, Michael Georgiopoulos, Ronald F. DeMara, Georgios C. Anagnostopoulos, Avelino J. Gonzalez: Pipelining of Fuzzy ARTMAP without matchtracking: Correctness, performance bound, and Beowulf evaluation. Neural Networks 20(1): 109-128 (2007)

Mingyu Zhong, Bryan Rosander, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie: Experiments with Safe muARTMAP : Effect of the network parameters on the network performance. Neural Networks 20(2): 245-259 (2007)

Ahmad Al-Daraiseh, Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Annie S. Wu, Georgios C. Anagnostopoulos: GFAM: Evolving Fuzzy ARTMAP neural networks. Neural Networks 20(8): 874-892 (2007)

Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos: Experiments with an innovative tree pruning algorithm. Artificial Intelligence and Applications 2007: 385-390

Anna Koufakou, Enrique G. Ortiz, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Kenneth M. Reynolds: A Scalable and Efficient Outlier Detection Strategy for Categorical Data. ICTAI (2) 2007: 210-217

Assem Kaylani, Ahmad Al-Daraiseh, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Annie S. Wu: Genetic Optimization of ART Neural Network Architectures. IJCNN 2007: 379-384

José Castro, Michael Georgiopoulos, Jimmy Secretan: Analyzing the Fuzzy ARTMAP Matchtracking mechanism with Co-Objective Optimization Theory. IJCNN 2007: 743-748

Christopher Sentelle, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Cynthia Young: On Extending the SMO Algorithm Sub-Problem. IJCNN 2007: 886-891

Jimmy Secretan, Michael Georgiopoulos, José Castro: A Privacy Preserving Probabilistic Neural Network for Horizontally Partitioned Databases. IJCNN 2007: 1554-1559

Ahmad Al-Daraiseh, Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Annie S. Wu, Georgios C. Anagnostopoulos: Genetically Engineered ART Architectures. Computational Intelligence Based on Lattice Theory 2007: 233-262

Olcay Kursun, Anna Koufakou, Abhijit Wakchaure, Michael Georgiopoulos, Kenneth M. Reynolds, Ronald Eaglin: 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 (2006)

Stephen J. Verzi, Gregory L. Heileman, Michael Georgiopoulos: Boosted ARTMAP: Modifications to fuzzy ARTMAP motivated by boosting theory. Neural Networks 19(4): 446-468 (2006)

H. K. G. Fernlund, Avelino J. Gonzalez, Michael Georgiopoulos, Ronald F. DeMara: Learning tactical human behavior through observation of human performance. IEEE Transactions on Systems, Man, and Cybernetics, Part B 36(1): 128-140 (2006)

Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi: Generalized Entropy for Splitting on Numerical Attributes in Decision Trees. FLAIRS Conference 2006: 604-609

Ahmad Al-Daraiseh, Michael Georgiopoulos, Annie S. Wu, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi: GFAM: Evolving Fuzzy ARTMAP Neural Networks. FLAIRS Conference 2006: 694-699

Mingyu Zhong, Bryan Rosander, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie: Experiments with Safe ARTMAP and Comparisons to Other ART Networks. IJCNN 2006: 720-727

Mingyu Zhong, Dave Coggeshall, Ehsan Ghaneie, Thomas Pope, Mark Rivera, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie: Gap-Based Estimation: Choosing the Smoothing Parameters for Probabilistic and General Regression Neural Networks. IJCNN 2006: 1870-1877

Jimmy Secretan, Michael Georgiopoulos, Ian Maidhof, Philip Shibly, Joshua Hecker: Methods for Parallelizing the Probabilistic Neural Network on a Beowulf Cluster Computer. IJCNN 2006: 2378-2385

Olcay Kursun, Anna Koufakou, Bing Chen, Michael Georgiopoulos, Kenneth M. Reynolds, Ronald Eaglin: A Dictionary-Based Approach to Fast and Accurate Name Matching in Large Law Enforcement Databases. ISI 2006: 72-82

José Castro, Michael Georgiopoulos, Ronald F. DeMara, Avelino J. Gonzalez: 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 (2005)

José Castro, Michael Georgiopoulos, Ronald F. DeMara, Avelino J. Gonzalez: A Partitioned Fuzzy ARTMAP Implementation for Fast Processing of Large Databases on Sequential Machines. FLAIRS Conference 2004: 623-628

Mansooreh Mollaghasemi, Michael Georgiopoulos, Anne Donnelly, Dayana Cope, Martin J. Steele: Educating Middle and High School Students in Space Operations: The Simulation Approach. Winter Simulation Conference 2004: 2075-

Michael Georgiopoulos, Georgios C. Anagnostopoulos, Madan Bharadwaj: Experimental Comparisons of Semi-Supervised and Supervised ART Classifiers (Invited Talk). FLAIRS Conference 2003: 433

Michael Georgiopoulos, José Castro, Annie S. Wu, Ronald F. DeMara, Erol Gelenbe, Avelino J. Gonzalez, Marcella K. Kysilka, Mansooreh Mollaghasemi: CRCD in machine learning at the University of Central Florida preliminary experiences. ITiCSE 2003: 249

Georgios C. Anagnostopoulos, Michael Georgiopoulos: Putting the Utility of Match Tracking in Fuzzy ARTMAP Training to the Test. KES 2003: 1-6

Georgios C. Anagnostopoulos, Michael Georgiopoulos: Category regions as new geometrical concepts in Fuzzy-ART and Fuzzy-ARTMAP. Neural Networks 15(10): 1205-1221 (2002)

Anna Koufakou, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Takis Kasparis: Cross-validation in Fuzzy ARTMAP for large databases. Neural Networks 14(9): 1279-1291 (2001)

Takis Kasparis, Dimitrios Charalampidis, Michael Georgiopoulos, Jannick P. Rolland: Segmentation of textured images based on fractals and image filtering. Pattern Recognition 34(10): 1963-1973 (2001)

Dimitrios Charalampidis, Takis Kasparis, Michael Georgiopoulos: Classification of noisy signals using fuzzy ARTMAP neural networks. IEEE Transactions on Neural Networks 12(5): 1023-1036 (2001)

Amy E. Henninger, Avelino J. Gonzalez, Michael Georgiopoulos, Ronald F. DeMara: A Connectionist-Symbolic Approach to Modeling Agent Behavior: Neural Networks Grouped by Contexts. CONTEXT 2001: 198-209

George Bebis, Satish Uthiram, Michael Georgiopoulos: Face Detection and Verification Using Genetic Search. International Journal on Artificial Intelligence Tools 9(2): 225-246 (2000)

Stephen J. Verzi, Gregory L. Heileman, Michael Georgiopoulos, Michael J. Healy: Hierarchical ARTMAP. IJCNN (6) 2000: 41-46

Dimitrios Charalampidis, Michael Georgiopoulos, Takis Kasparis: Classification of Noisy Signals Using Fuzzy ARTMAP Neural Networks. IJCNN (6) 2000: 53-58

Georgios C. Anagnostopoulos, Michael Georgiopoulos: Hypersphere ART and ARTMAP for Unsupervised and Supervised, Incremental Learning. IJCNN (6) 2000: 59-66

Michael Georgiopoulos, Issam Dagher, Gregory L. Heileman, George Bebis: Properties of learning of a Fuzzy ART Variant. Neural Networks 12(6): 837-850 (1999)

George Bebis, Michael Georgiopoulos, Niels da Vitoria Lobo, Mubarak Shah: Learning affine transformations. Pattern Recognition 32(10): 1783-1799 (1999)

Issam Dagher, Michael Georgiopoulos, Gregory L. Heileman, George Bebis: An ordering algorithm for pattern presentation in fuzzy ARTMAP that tends to improve generalization performance. IEEE Transactions on Neural Networks 10(4): 768-778 (1999)

George Bebis, Michael Georgiopoulos, Mubarak Shah, Niels da Vitoria Lobo: Indexing Based on Algebraic Functions of Views. Computer Vision and Image Understanding 72(3): 360-378 (1998)

George Bebis, Michael Georgiopoulos, Niels da Vitoria Lobo: Using self-organizing maps to learn geometric hash functions for model-based object recognition. IEEE Transactions on Neural Networks 9(3): 560-570 (1998)

George Bebis, Michael Georgiopoulos, Mubarak Shah, Niels da Vitoria Lobo: Using Algebraic Functions of Views for Indexing-Based Object Recognition. ICCV 1998: 634-639

George Bebis, Michael Georgiopoulos, Takis Kasparis: Coupling weight elimination with genetic algorithms to reduce network size and preserve generalization. Neurocomputing 17(3-4): 167-194 (1997)

Michael Georgiopoulos, Hans Fernlund, George Bebis, Gregory L. Heileman: Order of Search in Fuzzy ART and Fuzzy ARTMAP: Effect of the Choice Parameter. Neural Networks 9(9): 1541-1559 (1996)

Ching S. Ho, Juin J. Liou, Michael Georgiopoulos, Christos G. Christodoulou: A Mixed Analog/Digital VLSI Design and Simulation of An Adaptive Resonance Theory (ART) Neural Network Architecture. Simulation 66(1): 31-39 (1996)

Takis Kasparis, Michael Georgiopoulos, Qurban A. Memon: Direct-sequence Spread-Spectrum with Transform Domain Interference Suppression. Journal of Circuits, Systems, and Computers 5(2): 167-180 (1995)

Juxin Huang, Michael Georgiopoulos, Gregory L. Heileman: Fuzzy ART properties. Neural Networks 8(2): 203-213 (1995)

George Bebis, Michael Georgiopoulos, Niels da Vitoria Lobo: Learning Geometric Hashing Functions for Model-Based Object Recognition. ICCV 1995: 543-548

Michael Georgiopoulos, Juxin Huang, Gregory L. Heileman: Properties of learning in ARTMAP. Neural Networks 7(3): 495-506 (1994)

Michael Georgiopoulos, Gregory L. Heileman, Juxin Huang: The N-N-N conjecture in ART1. Neural Networks 5(5): 745-753 (1992)

Gregory L. Heileman, Michael Georgiopoulos, William D. Roome: A General Framework for Concurrent Simulation of Neural Network Models. IEEE Trans. Software Eng. 18(7): 551-562 (1992)

Michael Georgiopoulos, Gregory L. Heileman, Juxin Huang: Properties of learning related to pattern diversity in ART1. Neural Networks 4(6): 751-757 (1991)

Michael Georgiopoulos: Correction to `Packet error probabilities in frequency hopped spread-spectrum packet radio networks-memoryless frequency hopping patterns considered'. IEEE Transactions on Communications 39(3): 362-364 (1991)

Michael Georgiopoulos: 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(9): 1321-1324 (1990)

Michael Georgiopoulos: Packet error probabilities in direct-sequence spread-spectrum packet radio networks. IEEE Transactions on Communications 38(9): 1599-1606 (1990)