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Michael Georgiopoulos: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Amy E. Henninger, Avelino J. Gonzalez, Michael Georgiopoulos, Ronald F. DeMara
    A Connectionist-Symbolic Approach to Modeling Agent Behavior: Neural Networks Grouped by Contexts. [Citation Graph (0, 0)][DBLP]
    CONTEXT, 2001, pp:198-209 [Conf]
  2. José Castro, Michael Georgiopoulos, Ronald F. DeMara, Avelino J. Gonzalez
    A Partitioned Fuzzy ARTMAP Implementation for Fast Processing of Large Databases on Sequential Machines. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2004, pp:- [Conf]
  3. Michael Georgiopoulos, Georgios C. Anagnostopoulos, Madan Bharadwaj
    Experimental Comparisons of Semi-Supervised and Supervised ART Classifiers (Invited Talk). [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2003, pp:433- [Conf]
  4. Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi
    Generalized Entropy for Splitting on Numerical Attributes in Decision Trees. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2006, pp:604-609 [Conf]
  5. Ahmad Al-Daraiseh, Michael Georgiopoulos, Annie S. Wu, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi
    GFAM: Evolving Fuzzy ARTMAP Neural Networks. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2006, pp:694-699 [Conf]
  6. George Bebis, Michael Georgiopoulos, Niels da Vitoria Lobo
    Learning Geometric Hashing Functions for Model-Based Object Recognition. [Citation Graph (0, 0)][DBLP]
    ICCV, 1995, pp:543-548 [Conf]
  7. George Bebis, Michael Georgiopoulos, Mubarak Shah, Niels da Vitoria Lobo
    Using Algebraic Functions of Views for Indexing-Based Object Recognition. [Citation Graph (0, 0)][DBLP]
    ICCV, 1998, pp:634-639 [Conf]
  8. Dimitrios Charalampidis, Michael Georgiopoulos, Takis Kasparis
    Classification of Noisy Signals Using Fuzzy ARTMAP Neural Networks. [Citation Graph (0, 0)][DBLP]
    IJCNN (6), 2000, pp:53-58 [Conf]
  9. Georgios C. Anagnostopoulos, Michael Georgiopoulos
    Hypersphere ART and ARTMAP for Unsupervised and Supervised, Incremental Learning. [Citation Graph (0, 0)][DBLP]
    IJCNN (6), 2000, pp:59-66 [Conf]
  10. Stephen J. Verzi, Gregory L. Heileman, Michael Georgiopoulos, Michael J. Healy
    Hierarchical ARTMAP. [Citation Graph (0, 0)][DBLP]
    IJCNN (6), 2000, pp:41-46 [Conf]
  11. 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. [Citation Graph (0, 0)][DBLP]
    ISI, 2006, pp:72-82 [Conf]
  12. Georgios C. Anagnostopoulos, Michael Georgiopoulos
    Putting the Utility of Match Tracking in Fuzzy ARTMAP Training to the Test. [Citation Graph (0, 0)][DBLP]
    KES, 2003, pp:1-6 [Conf]
  13. Mansooreh Mollaghasemi, Michael Georgiopoulos, Anne Donnelly, Dayana Cope, Martin J. Steele
    Educating Middle and High School Students in Space Operations: The Simulation Approach. [Citation Graph (0, 0)][DBLP]
    Winter Simulation Conference, 2004, pp:2075-0 [Conf]
  14. George Bebis, Michael Georgiopoulos, Mubarak Shah, Niels da Vitoria Lobo
    Indexing Based on Algebraic Functions of Views. [Citation Graph (0, 0)][DBLP]
    Computer Vision and Image Understanding, 1998, v:72, n:3, pp:360-378 [Journal]
  15. George Bebis, Satish Uthiram, Michael Georgiopoulos
    Face Detection and Verification Using Genetic Search. [Citation Graph (0, 0)][DBLP]
    International Journal on Artificial Intelligence Tools, 2000, v:9, n:2, pp:225-246 [Journal]
  16. 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. [Citation Graph (0, 0)][DBLP]
    International Journal on Artificial Intelligence Tools, 2006, v:15, n:5, pp:839-848 [Journal]
  17. George Bebis, Michael Georgiopoulos, Takis Kasparis
    Coupling weight elimination with genetic algorithms to reduce network size and preserve generalization. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1997, v:17, n:3-4, pp:167-194 [Journal]
  18. Georgios C. Anagnostopoulos, Michael Georgiopoulos
    Category regions as new geometrical concepts in Fuzzy-ART and Fuzzy-ARTMAP. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2002, v:15, n:10, pp:1205-1221 [Journal]
  19. 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. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2005, v:18, n:7, pp:967-984 [Journal]
  20. Juxin Huang, Michael Georgiopoulos, Gregory L. Heileman
    Fuzzy ART properties. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1995, v:8, n:2, pp:203-213 [Journal]
  21. Michael Georgiopoulos, Issam Dagher, Gregory L. Heileman, George Bebis
    Properties of learning of a Fuzzy ART Variant. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1999, v:12, n:6, pp:837-850 [Journal]
  22. Michael Georgiopoulos, Hans Fernlund, George Bebis, Gregory L. Heileman
    Order of Search in Fuzzy ART and Fuzzy ARTMAP: Effect of the Choice Parameter. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1996, v:9, n:9, pp:1541-1559 [Journal]
  23. Michael Georgiopoulos, Gregory L. Heileman, Juxin Huang
    Properties of learning related to pattern diversity in ART1. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1991, v:4, n:6, pp:751-757 [Journal]
  24. Michael Georgiopoulos, Gregory L. Heileman, Juxin Huang
    The N-N-N conjecture in ART1. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1992, v:5, n:5, pp:745-753 [Journal]
  25. Michael Georgiopoulos, Juxin Huang, Gregory L. Heileman
    Properties of learning in ARTMAP. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1994, v:7, n:3, pp:495-506 [Journal]
  26. Anna Koufakou, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Takis Kasparis
    Cross-validation in Fuzzy ARTMAP for large databases. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2001, v:14, n:9, pp:1279-1291 [Journal]
  27. Stephen J. Verzi, Gregory L. Heileman, Michael Georgiopoulos
    Boosted ARTMAP: Modifications to fuzzy ARTMAP motivated by boosting theory. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:4, pp:446-468 [Journal]
  28. 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. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2007, v:20, n:2, pp:245-259 [Journal]
  29. 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. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2007, v:20, n:1, pp:109-128 [Journal]
  30. George Bebis, Michael Georgiopoulos, Niels da Vitoria Lobo, Mubarak Shah
    Learning affine transformations. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1999, v:32, n:10, pp:1783-1799 [Journal]
  31. Takis Kasparis, Dimitrios Charalampidis, Michael Georgiopoulos, Jannick P. Rolland
    Segmentation of textured images based on fractals and image filtering. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2001, v:34, n:10, pp:1963-1973 [Journal]
  32. Gregory L. Heileman, Michael Georgiopoulos, William D. Roome
    A General Framework for Concurrent Simulation of Neural Network Models. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Software Eng., 1992, v:18, n:7, pp:551-562 [Journal]
  33. H. K. G. Fernlund, Avelino J. Gonzalez, Michael Georgiopoulos, Ronald F. DeMara
    Learning tactical human behavior through observation of human performance. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2006, v:36, n:1, pp:128-140 [Journal]
  34. Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos
    Experiments with an innovative tree pruning algorithm. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Applications, 2007, pp:385-390 [Conf]

  35. Detecting Outliers in High-Dimensional Datasets with Mixed Attributes. [Citation Graph (, )][DBLP]


  36. APHID: A Practical Architecture for High-Performance, Privacy-Preserving Data Mining. [Citation Graph (, )][DBLP]


  37. Outlier Detection for Large High-Dimensional Categorical Data using Non-Derivable and Non-Almost-Derivable Sets. [Citation Graph (, )][DBLP]


  38. A Backward Adjusting Strategy and Optimization of the C4.5 Parameters to Improve C4.5's Performance. [Citation Graph (, )][DBLP]


  39. Imitating Personalized Expressions in an Avatar through Machine Learning. [Citation Graph (, )][DBLP]


  40. Properties of the k-norm pruning algorithm for decision tree classifiers. [Citation Graph (, )][DBLP]


  41. A fast revised simplex method for SVM training. [Citation Graph (, )][DBLP]


  42. A Scalable and Efficient Outlier Detection Strategy for Categorical Data. [Citation Graph (, )][DBLP]


  43. Similarity Kernels for Nearest Neighbor-Based Outlier Detection. [Citation Graph (, )][DBLP]


  44. Analyzing the Fuzzy ARTMAP Matchtracking mechanism with Co-Objective Optimization Theory. [Citation Graph (, )][DBLP]


  45. A Privacy Preserving Probabilistic Neural Network for Horizontally Partitioned Databases. [Citation Graph (, )][DBLP]


  46. On Extending the SMO Algorithm Sub-Problem. [Citation Graph (, )][DBLP]


  47. Genetic Optimization of ART Neural Network Architectures. [Citation Graph (, )][DBLP]


  48. Gap-Based Estimation: Choosing the Smoothing Parameters for Probabilistic and General Regression Neural Networks. [Citation Graph (, )][DBLP]


  49. Experiments with Safe ARTMAP and Comparisons to Other ART Networks. [Citation Graph (, )][DBLP]


  50. Methods for Parallelizing the Probabilistic Neural Network on a Beowulf Cluster Computer. [Citation Graph (, )][DBLP]


  51. Fast parallel outlier detection for categorical datasets using MapReduce. [Citation Graph (, )][DBLP]


  52. Intelligent Trading Agents for Massively Multi-player Game Economies. [Citation Graph (, )][DBLP]


  53. Efficient evolution of ART neural networks. [Citation Graph (, )][DBLP]


  54. MO-GART: Multiobjective genetic ART architectures. [Citation Graph (, )][DBLP]


  55. CRCD in machine learning at the University of Central Florida preliminary experiences. [Citation Graph (, )][DBLP]


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