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Alan J. Barton: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Julio J. Valdés, Alan J. Barton
    Multiobjective evolutionary optimization for visual data mining with virtual reality spaces: application to Alzheimer gene expressions. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:723-730 [Conf]
  2. Julio J. Valdés, Alan J. Barton
    Mining Multivariate Time Series Models with Soft-Computing Techniques: A Coarse-Grained Parallel Computing Approach. [Citation Graph (0, 0)][DBLP]
    ICCSA (2), 2003, pp:259-268 [Conf]
  3. Julio J. Valdés, Alan J. Barton
    Gene Discovery in Leukemia Revisited: A Computational Intelligence Perspective. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2004, pp:118-127 [Conf]
  4. Julio J. Valdés, Alan J. Barton
    Relevant Attribute Discovery in High Dimensional Data Based on Rough Sets and Unsupervised Classification: Application to Leukemia Gene Expressions. [Citation Graph (0, 0)][DBLP]
    RSFDGrC (2), 2005, pp:362-371 [Conf]
  5. Julio J. Valdés, Alan J. Barton
    Relevant Attribute Discovery in High Dimensional Data: Application to Breast Cancer Gene Expressions. [Citation Graph (0, 0)][DBLP]
    RSKT, 2006, pp:482-489 [Conf]
  6. Julio J. Valdés, Alan J. Barton
    Computational intelligence techniques: a study of scleroderma skin disease. [Citation Graph (0, 0)][DBLP]
    GECCO (Companion), 2007, pp:2580-2587 [Conf]
  7. Julio J. Valdés, Robert Orchard, Alan J. Barton
    Exploring medical data using visual spaces with genetic programming and implicit functional mappings. [Citation Graph (0, 0)][DBLP]
    GECCO (Companion), 2007, pp:2953-2960 [Conf]
  8. Enrique Romero, Julio J. Valdés, Alan J. Barton
    Neural Network Based Virtual Reality Spaces for Visual Data Mining of Cancer Data: An Unsupervised Perspective. [Citation Graph (0, 0)][DBLP]
    IWANN, 2007, pp:1020-1027 [Conf]
  9. Julio J. Valdés, Alan J. Barton
    Hybrid Unsupervised/Supervised Virtual Reality Spaces for Visualizing Cancer Databases: An Evolutionary Computation Approach. [Citation Graph (0, 0)][DBLP]
    IWANN, 2007, pp:1028-1035 [Conf]
  10. Julio J. Valdés, Alan J. Barton
    Multi-objective evolutionary optimization for constructing neural networks for virtual reality visual data mining: Application to geophysical prospecting. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2007, v:20, n:4, pp:498-508 [Journal]
  11. Julio J. Valdés, Alan J. Barton
    Finding Relevant Attributes in High Dimensional Data: A Distributed Computing Hybrid Data Mining Strategy. [Citation Graph (0, 0)][DBLP]
    T. Rough Sets, 2007, v:6, n:, pp:366-396 [Journal]

  12. Multi-objective Evolutionary Optimization of Neural Networks for Virtual Reality Visual Data Mining: Application to Hydrochemistry. [Citation Graph (, )][DBLP]


  13. Virtual Reality Visual Data Mining via Neural Networks obtained from Multi-objective Evolutionary Optimization: Application to Geophysical Prospecting. [Citation Graph (, )][DBLP]


  14. Hybrid Unsupervised/Supervised Virtual Reality Spaces for Visualizing Gastric and Liver Cancer Databases: An Evolutionary Computation Approach. [Citation Graph (, )][DBLP]


  15. Computational Intelligence Techniques Applied to Magnetic Resonance Spectroscopy Data of Human Brain Cancers. [Citation Graph (, )][DBLP]


  16. Virtual reality high dimensional objective spaces for multi-objective optimization: An improved representation. [Citation Graph (, )][DBLP]


  17. Visualizing high dimensional objective spaces for multi-objective optimization: A virtual reality approach. [Citation Graph (, )][DBLP]


  18. Identification of Similarities among MS/MS Spectra from Human Brain. [Citation Graph (, )][DBLP]


  19. Nonlinear Retention Time Shifts in nanoLC-MS Data: A Fuzzy-Evolutionary Computational Proteomics Approach. [Citation Graph (, )][DBLP]


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