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) |