Georgios C. Anagnostopoulos

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

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

Naveed Iqbal, Georgios C. Anagnostopoulos: Multinomial Squared Direction Cosines Regression. IJCNN 2011: 3028-3035

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)

Rong Li, Timothy R. Mersch, Oriana X. Wen, Assem Kaylani, Georgios C. Anagnostopoulos: Multi-objective memetic evolution of ART-based classifiers. IEEE Congress on Evolutionary Computation 2010: 1-8

Mingbo Ma, Ryan Gonet, RuiZhi Yu, Georgios C. Anagnostopoulos: Metric representations of data via the Kernel-based Sammon Mapping. IJCNN 2010: 1-7

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)

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

Todd C. Alexander, Hassan S. Ahmed, Georgios C. Anagnostopoulos: An Open Source Framework for Real-Time, Incremental, Static and Dynamic Hand Gesture Learning and Recognition. HCI (2) 2009: 123-130

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

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)

Rui Xu, Georgios C. Anagnostopoulos, Donald C. Wunsch: Multiclass Cancer Classification Using Semisupervised Ellipsoid ARTMAP and Particle Swarm Optimization with Gene Expression Data. IEEE/ACM Trans. Comput. Biology Bioinform. 4(1): 65-77 (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

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

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

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

Ghaith Rabadi, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos: A branch-and-bound algorithm for the early/tardy machine scheduling problem with a common due-date and sequence-dependent setup time. Computers & OR 31(10): 1727-1751 (2004)

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

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)

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