2009 | ||
---|---|---|
60 | EE | 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 | ||
59 | 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 | |
58 | John Reeder, Gita Sukthankar, Michael Georgiopoulos, Georgios C. Anagnostopoulos: Intelligent Trading Agents for Massively Multi-player Game Economies. AIIDE 2008 | |
57 | Anna Koufakou, Michael Georgiopoulos, Georgios C. Anagnostopoulos: Detecting Outliers in High-Dimensional Datasets with Mixed Attributes. DMIN 2008: 427-433 | |
56 | 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 | |
55 | EE | Christopher Sentelle, Georgios C. Anagnostopoulos, Michael Georgiopoulos: A fast revised simplex method for SVM training. ICPR 2008: 1-4 |
54 | EE | Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos: Properties of the k-norm pruning algorithm for decision tree classifiers. ICPR 2008: 1-4 |
53 | EE | Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos: MO-GART: Multiobjective genetic ART architectures. IEEE Congress on Evolutionary Computation 2008: 1425-1432 |
52 | EE | Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos: Efficient evolution of ART neural networks. IEEE Congress on Evolutionary Computation 2008: 3456-3463 |
51 | EE | Anna Koufakou, Jimmy Secretan, John Reeder, Kelvin Cardona, Michael Georgiopoulos: Fast parallel outlier detection for categorical datasets using MapReduce. IJCNN 2008: 3298-3304 |
50 | EE | Olcay Kursun, Michael Georgiopoulos, Kenneth M. Reynolds: Name Matching in Law Enforcement Database. Intelligence and Security Informatics 2008: 151-172 |
49 | EE | 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 | ||
48 | Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos: Experiments with an innovative tree pruning algorithm. Artificial Intelligence and Applications 2007: 385-390 | |
47 | EE | 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 |
46 | EE | Jimmy Secretan, Michael Georgiopoulos, José Castro: A Privacy Preserving Probabilistic Neural Network for Horizontally Partitioned Databases. IJCNN 2007: 1554-1559 |
45 | EE | 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 |
44 | EE | José Castro, Michael Georgiopoulos, Jimmy Secretan: Analyzing the Fuzzy ARTMAP Matchtracking mechanism with Co-Objective Optimization Theory. IJCNN 2007: 743-748 |
43 | EE | Christopher Sentelle, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Cynthia Young: On Extending the SMO Algorithm Sub-Problem. IJCNN 2007: 886-891 |
42 | EE | 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 |
41 | EE | 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) |
40 | EE | 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) |
39 | EE | 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) |
38 | EE | 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 | ||
37 | Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi: Generalized Entropy for Splitting on Numerical Attributes in Decision Trees. FLAIRS Conference 2006: 604-609 | |
36 | Ahmad Al-Daraiseh, Michael Georgiopoulos, Annie S. Wu, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi: GFAM: Evolving Fuzzy ARTMAP Neural Networks. FLAIRS Conference 2006: 694-699 | |
35 | EE | 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 |
34 | EE | 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 |
33 | EE | 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 |
32 | EE | 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 |
31 | EE | 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) |
30 | EE | 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) |
29 | EE | 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) |
2005 | ||
28 | EE | 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) |
2004 | ||
27 | 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 | |
26 | EE | 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- |
2003 | ||
25 | Michael Georgiopoulos, Georgios C. Anagnostopoulos, Madan Bharadwaj: Experimental Comparisons of Semi-Supervised and Supervised ART Classifiers (Invited Talk). FLAIRS Conference 2003: 433 | |
24 | EE | Michael Georgiopoulos, José Castro, Annie S. Wu, Ronald F. DeMara, E. Gelenbe, Avelino J. Gonzalez, M. Kysilka, Mansooreh Mollaghasemi: CRCD in machine learning at the University of Central Florida preliminary experiences. ITiCSE 2003: 249 |
23 | EE | Georgios C. Anagnostopoulos, Michael Georgiopoulos: Putting the Utility of Match Tracking in Fuzzy ARTMAP Training to the Test. KES 2003: 1-6 |
2002 | ||
22 | EE | 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 | ||
21 | EE | 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 |
20 | EE | Anna Koufakou, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Takis Kasparis: Cross-validation in Fuzzy ARTMAP for large databases. Neural Networks 14(9): 1279-1291 (2001) |
19 | EE | 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) |
2000 | ||
18 | EE | Stephen J. Verzi, Gregory L. Heileman, Michael Georgiopoulos, Michael J. Healy: Hierarchical ARTMAP. IJCNN (6) 2000: 41-46 |
17 | EE | Dimitrios Charalampidis, Michael Georgiopoulos, Takis Kasparis: Classification of Noisy Signals Using Fuzzy ARTMAP Neural Networks. IJCNN (6) 2000: 53-58 |
16 | EE | Georgios C. Anagnostopoulos, Michael Georgiopoulos: Hypersphere ART and ARTMAP for Unsupervised and Supervised, Incremental Learning. IJCNN (6) 2000: 59-66 |
15 | George Bebis, Satish Uthiram, Michael Georgiopoulos: Face Detection and Verification Using Genetic Search. International Journal on Artificial Intelligence Tools 9(2): 225-246 (2000) | |
1999 | ||
14 | EE | 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) |
13 | EE | Michael Georgiopoulos, Issam Dagher, Gregory L. Heileman, George Bebis: Properties of learning of a Fuzzy ART Variant. Neural Networks 12(6): 837-850 (1999) |
12 | EE | George Bebis, Michael Georgiopoulos, Niels da Vitoria Lobo, Mubarak Shah: Learning affine transformations. Pattern Recognition 32(10): 1783-1799 (1999) |
1998 | ||
11 | George Bebis, Michael Georgiopoulos, Mubarak Shah, Niels da Vitoria Lobo: Using Algebraic Functions of Views for Indexing-Based Object Recognition. ICCV 1998: 634-639 | |
10 | EE | 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) |
9 | EE | 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) |
1997 | ||
8 | EE | 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) |
1996 | ||
7 | EE | 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) |
1995 | ||
6 | EE | George Bebis, Michael Georgiopoulos, Niels da Vitoria Lobo: Learning Geometric Hashing Functions for Model-Based Object Recognition. ICCV 1995: 543-548 |
5 | EE | Juxin Huang, Michael Georgiopoulos, Gregory L. Heileman: Fuzzy ART properties. Neural Networks 8(2): 203-213 (1995) |
1994 | ||
4 | EE | Michael Georgiopoulos, Juxin Huang, Gregory L. Heileman: Properties of learning in ARTMAP. Neural Networks 7(3): 495-506 (1994) |
1992 | ||
3 | EE | 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) |
2 | EE | Michael Georgiopoulos, Gregory L. Heileman, Juxin Huang: The N-N-N conjecture in ART1. Neural Networks 5(5): 745-753 (1992) |
1991 | ||
1 | EE | Michael Georgiopoulos, Gregory L. Heileman, Juxin Huang: Properties of learning related to pattern diversity in ART1. Neural Networks 4(6): 751-757 (1991) |