 | 2011 |
| 78 |  | Talitha Rubio,
Tiantian Zhang,
Michael Georgiopoulos,
Assem Kaylani:
Multi-objective evolutionary optimization of exemplar-based classifiers: A PNN test case.
IJCNN 2011: 1722-1731 |
| 77 |  | Cong Li,
Michael Georgiopoulos,
Georgios C. Anagnostopoulos:
Kernel principal subspace Mahalanobis distances for outlier detection.
IJCNN 2011: 2528-2535 |
| 76 |  | Yinjie Huang,
Michael Georgiopoulos,
Georgios C. Anagnostopoulos:
Accelerated learning of Generalized Sammon Mappings.
IJCNN 2011: 2952-2960 |
| 75 |  | Christopher Sentelle,
Georgios C. Anagnostopoulos,
Michael Georgiopoulos:
Efficient Revised Simplex Method for SVM Training.
IEEE Transactions on Neural Networks 22(10): 1650-1661 (2011) |
| 74 |  | 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) |
| 73 |  | Michael Georgiopoulos,
Cong Li,
Taskin Koçak:
Learning in the feed-forward random neural network: A critical review.
Perform. Eval. 68(4): 361-384 (2011) |
| 2010 |
| 72 |  | Cassondra Puklavage,
Alexander R. Pirela,
Avelino J. Gonzalez,
Michael Georgiopoulos:
Imitating Personalized Expressions in an Avatar through Machine Learning.
FLAIRS Conference 2010 |
| 71 |  | Ruben Ramirez-Padron,
David Foregger,
Julie Manuel,
Michael Georgiopoulos,
Boris Mederos:
Similarity Kernels for Nearest Neighbor-Based Outlier Detection.
IDA 2010: 159-170 |
| 70 |  | Michael Georgiopoulos,
Cong Li,
Taskin Koçak:
Learning in the feed-forward Random Neural Network: A Critical Review.
ISCIS 2010: 155-160 |
| 69 |  | 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) |
| 68 |  | 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) |
| 67 |  | 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) |
| 2009 |
| 66 |  | Jimmy Secretan,
Anna Koufakou,
Michael Georgiopoulos:
APHID: A Practical Architecture for High-Performance, Privacy-Preserving Data Mining.
DMIN 2009: 410-416 |
| 65 |  | 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 |
| 64 |  | Christopher Sentelle,
Georgios C. Anagnostopoulos,
Michael Georgiopoulos:
An efficient active set method for SVM training without singular inner problems.
IJCNN 2009: 2875-2882 |
| 63 |  | 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) |
| 62 |  | 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 |
| 61 |  | 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 |
| 60 |  | John Reeder,
Gita Sukthankar,
Michael Georgiopoulos,
Georgios C. Anagnostopoulos:
Intelligent Trading Agents for Massively Multi-player Game Economies.
AIIDE 2008 |
| 59 |  | John Reeder,
Roberto Miguez,
Jessica Sparks,
Michael Georgiopoulos,
Georgios C. Anagnostopoulos:
Interactively evolved modular neural networks for game agent control.
CIG 2008: 167-174 |
| 58 |  | Anna Koufakou,
Michael Georgiopoulos,
Georgios C. Anagnostopoulos:
Detecting Outliers in High-Dimensional Datasets with Mixed Attributes.
DMIN 2008: 427-433 |
| 57 |  | 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 |
| 56 |  | Christopher Sentelle,
Georgios C. Anagnostopoulos,
Michael Georgiopoulos:
A fast revised simplex method for SVM training.
ICPR 2008: 1-4 |
| 55 |  | Mingyu Zhong,
Michael Georgiopoulos,
Georgios C. Anagnostopoulos:
Properties of the k-norm pruning algorithm for decision tree classifiers.
ICPR 2008: 1-4 |
| 54 |  | Assem Kaylani,
Michael Georgiopoulos,
Mansooreh Mollaghasemi,
Georgios C. Anagnostopoulos:
MO-GART: Multiobjective genetic ART architectures.
IEEE Congress on Evolutionary Computation 2008: 1425-1432 |
| 53 |  | Assem Kaylani,
Michael Georgiopoulos,
Mansooreh Mollaghasemi,
Georgios C. Anagnostopoulos:
Efficient evolution of ART neural networks.
IEEE Congress on Evolutionary Computation 2008: 3456-3463 |
| 52 |  | Anna Koufakou,
Jimmy Secretan,
John Reeder,
Kelvin Cardona,
Michael Georgiopoulos:
Fast parallel outlier detection for categorical datasets using MapReduce.
IJCNN 2008: 3298-3304 |
| 51 |  | Olcay Kursun,
Michael Georgiopoulos,
Kenneth M. Reynolds:
Name Matching in Law Enforcement Database.
Intelligence and Security Informatics 2008: 151-172 |
| 50 |  | 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 |
| 49 |  | Mingyu Zhong,
Michael Georgiopoulos,
Georgios C. Anagnostopoulos:
Experiments with an innovative tree pruning algorithm.
Artificial Intelligence and Applications 2007: 385-390 |
| 48 |  | 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 |
| 47 |  | Jimmy Secretan,
Michael Georgiopoulos,
José Castro:
A Privacy Preserving Probabilistic Neural Network for Horizontally Partitioned Databases.
IJCNN 2007: 1554-1559 |
| 46 |  | 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 |
| 45 |  | José Castro,
Michael Georgiopoulos,
Jimmy Secretan:
Analyzing the Fuzzy ARTMAP Matchtracking mechanism with Co-Objective Optimization Theory.
IJCNN 2007: 743-748 |
| 44 |  | Christopher Sentelle,
Michael Georgiopoulos,
Georgios C. Anagnostopoulos,
Cynthia Young:
On Extending the SMO Algorithm Sub-Problem.
IJCNN 2007: 886-891 |
| 43 |  | 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 |
| 42 |  | 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) |
| 41 |  | 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) |
| 40 |  | 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) |
| 39 |  | 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 |
| 38 |  | Mingyu Zhong,
Michael Georgiopoulos,
Georgios C. Anagnostopoulos,
Mansooreh Mollaghasemi:
Generalized Entropy for Splitting on Numerical Attributes in Decision Trees.
FLAIRS Conference 2006: 604-609 |
| 37 |  | Ahmad Al-Daraiseh,
Michael Georgiopoulos,
Annie S. Wu,
Georgios C. Anagnostopoulos,
Mansooreh Mollaghasemi:
GFAM: Evolving Fuzzy ARTMAP Neural Networks.
FLAIRS Conference 2006: 694-699 |
| 36 |  | 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 |
| 35 |  | 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 |
| 34 |  | 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 |
| 33 |  | 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 |
| 32 |  | 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) |
| 31 |  | 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) |
| 30 |  | 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 |
| 29 |  | 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 |
| 28 |  | 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 |
| 27 |  | 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 |
| 26 |  | Michael Georgiopoulos,
Georgios C. Anagnostopoulos,
Madan Bharadwaj:
Experimental Comparisons of Semi-Supervised and Supervised ART Classifiers (Invited Talk).
FLAIRS Conference 2003: 433 |
| 25 |  | 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 |
| 24 |  | Georgios C. Anagnostopoulos,
Michael Georgiopoulos:
Putting the Utility of Match Tracking in Fuzzy ARTMAP Training to the Test.
KES 2003: 1-6 |
| 2002 |
| 23 |  | 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 |
| 22 |  | 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 |
| 21 |  | 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) |
| 20 |  | 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 |  | 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 |  | Stephen J. Verzi,
Gregory L. Heileman,
Michael Georgiopoulos,
Michael J. Healy:
Hierarchical ARTMAP.
IJCNN (6) 2000: 41-46 |
| 17 |  | Dimitrios Charalampidis,
Michael Georgiopoulos,
Takis Kasparis:
Classification of Noisy Signals Using Fuzzy ARTMAP Neural Networks.
IJCNN (6) 2000: 53-58 |
| 16 |  | 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 |  | 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 |  | 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 |  | 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 |  | 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 |  | 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 |  | 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 |  | 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 |  | George Bebis,
Michael Georgiopoulos,
Niels da Vitoria Lobo:
Learning Geometric Hashing Functions for Model-Based Object Recognition.
ICCV 1995: 543-548 |
| 5 |  | Juxin Huang,
Michael Georgiopoulos,
Gregory L. Heileman:
Fuzzy ART properties.
Neural Networks 8(2): 203-213 (1995) |
| 1994 |
| 4 |  | Michael Georgiopoulos,
Juxin Huang,
Gregory L. Heileman:
Properties of learning in ARTMAP.
Neural Networks 7(3): 495-506 (1994) |
| 1992 |
| 3 |  | 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 |  | Michael Georgiopoulos,
Gregory L. Heileman,
Juxin Huang:
The N-N-N conjecture in ART1.
Neural Networks 5(5): 745-753 (1992) |
| 1991 |
| 1 |  | Michael Georgiopoulos,
Gregory L. Heileman,
Juxin Huang:
Properties of learning related to pattern diversity in ART1.
Neural Networks 4(6): 751-757 (1991) |