| 2009 | ||
|---|---|---|
| 32 | 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 | |
| 31 | 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 | |
| 30 | 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) | |
| 2008 | ||
| 29 | Niels da Vitoria Lobo, Takis Kasparis, Fabio Roli, James Tin-Yau Kwok, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Marco Loog: Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshop, SSPR & SPR 2008, Orlando, USA, December 4-6, 2008. Proceedings Springer 2008 | |
| 28 | John Reeder, Gita Sukthankar, Michael Georgiopoulos, Georgios C. Anagnostopoulos: Intelligent Trading Agents for Massively Multi-player Game Economies. AIIDE 2008 | |
| 27 | Anna Koufakou, Michael Georgiopoulos, Georgios C. Anagnostopoulos: Detecting Outliers in High-Dimensional Datasets with Mixed Attributes. DMIN 2008: 427-433 | |
| 26 | 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 | |
| 25 | Christopher Sentelle, Georgios C. Anagnostopoulos, Michael Georgiopoulos: A fast revised simplex method for SVM training. ICPR 2008: 1-4 | |
| 24 | Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos: Properties of the k-norm pruning algorithm for decision tree classifiers. ICPR 2008: 1-4 | |
| 23 | Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos: MO-GART: Multiobjective genetic ART architectures. IEEE Congress on Evolutionary Computation 2008: 1425-1432 | |
| 22 | Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos: Efficient evolution of ART neural networks. IEEE Congress on Evolutionary Computation 2008: 3456-3463 | |
| 21 | 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) | |
| 2007 | ||
| 20 | Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos: Experiments with an innovative tree pruning algorithm. Artificial Intelligence and Applications 2007: 385-390 | |
| 19 | 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 | |
| 18 | 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 | |
| 17 | Christopher Sentelle, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Cynthia Young: On Extending the SMO Algorithm Sub-Problem. IJCNN 2007: 886-891 | |
| 16 | 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 | |
| 15 | 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) | |
| 14 | 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) | |
| 13 | 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) | |
| 12 | 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) | |
| 11 | 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) | |
| 2006 | ||
| 10 | Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi: Generalized Entropy for Splitting on Numerical Attributes in Decision Trees. FLAIRS Conference 2006: 604-609 | |
| 9 | Ahmad Al-Daraiseh, Michael Georgiopoulos, Annie S. Wu, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi: GFAM: Evolving Fuzzy ARTMAP Neural Networks. FLAIRS Conference 2006: 694-699 | |
| 8 | 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 | |
| 7 | 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 | |
| 2004 | ||
| 6 | 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) | |
| 2003 | ||
| 5 | Michael Georgiopoulos, Georgios C. Anagnostopoulos, Madan Bharadwaj: Experimental Comparisons of Semi-Supervised and Supervised ART Classifiers (Invited Talk). FLAIRS Conference 2003: 433 | |
| 4 | Georgios C. Anagnostopoulos, Michael Georgiopoulos: Putting the Utility of Match Tracking in Fuzzy ARTMAP Training to the Test. KES 2003: 1-6 | |
| 2002 | ||
| 3 | Georgios C. Anagnostopoulos, Michael Georgiopoulos: Category regions as new geometrical concepts in Fuzzy-ART and Fuzzy-ARTMAP. Neural Networks 15(10): 1205-1221 (2002) | |
| 2001 | ||
| 2 | Anna Koufakou, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Takis Kasparis: Cross-validation in Fuzzy ARTMAP for large databases. Neural Networks 14(9): 1279-1291 (2001) | |
| 2000 | ||
| 1 | Georgios C. Anagnostopoulos, Michael Georgiopoulos: Hypersphere ART and ARTMAP for Unsupervised and Supervised, Incremental Learning. IJCNN (6) 2000: 59-66 | |