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Georgios C. Anagnostopoulos: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. 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]
  2. 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]
  3. 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]
  4. 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]
  5. 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]
  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. [Citation Graph (0, 0)][DBLP]
    Computers & OR, 2004, v:31, n:10, pp:1727-1751 [Journal]
  7. 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]
  8. 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]
  9. 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]
  10. 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]
  11. 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]
  12. Rui Xu, Georgios C. Anagnostopoulos, Donald C. Wunsch
    Multiclass Cancer Classification Using Semisupervised Ellipsoid ARTMAP and Particle Swarm Optimization with Gene Expression Data. [Citation Graph (0, 0)][DBLP]
    IEEE/ACM Trans. Comput. Biology Bioinform., 2007, v:4, n:1, pp:65-77 [Journal]

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


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


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


  16. An Open Source Framework for Real-Time, Incremental, Static and Dynamic Hand Gesture Learning and Recognition. [Citation Graph (, )][DBLP]


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


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


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


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


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


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


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


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


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


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


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