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Julio J. Valdés: [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. Gabriel Mateescu, Julio J. Valdés
    Distributed Data Mining on Virtual Clusters. [Citation Graph (0, 0)][DBLP]
    HPCS, 2006, pp:6- [Conf]
  3. 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]
  4. Julio J. Valdés, Luis Carlos Molina, Sergio Espinosa
    Behavior Analysis of Fractal Features for Texture Description in Digital Images: An Experimental Study. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:3917-3920 [Conf]
  5. 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]
  6. Lluís Belanche, Julio J. Valdés
    Fuzzy Inputs and Missing Data in Similarity-Based Heterogeneous Neural Networks. [Citation Graph (0, 0)][DBLP]
    IWANN (2), 1999, pp:863-873 [Conf]
  7. Julio J. Valdés, Ricardo García
    A Model for Heterogeneous Neurons and Its Use in Configuring Neural Networks for Classification Problems. [Citation Graph (0, 0)][DBLP]
    IWANN, 1997, pp:237-246 [Conf]
  8. Julio J. Valdés, Gabriel Mateescu
    Time Series Model Mining with Similarity-Based Neuro-Fuzzy Networks and Genetic Algorithms: A Parallel Implementation. [Citation Graph (0, 0)][DBLP]
    Rough Sets and Current Trends in Computing, 2002, pp:279-288 [Conf]
  9. Julio J. Valdés
    Virtual Reality Representation of Information Systems and Decision Rules: An Exploratory Technique for Understanding Data and Knowledge Structure. [Citation Graph (0, 0)][DBLP]
    RSFDGrC, 2003, pp:615-618 [Conf]
  10. 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]
  11. 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]
  12. Lluís A. Belanche Muñoz, Julio J. Valdés, Joaquim Comas, Ignasi Rodríguez-Roda, Manel Poch
    Prediction of the bulking phenomenon in wastewater treatment plants. [Citation Graph (0, 0)][DBLP]
    AI in Engineering, 2000, v:14, n:4, pp:307-317 [Journal]
  13. P. Roy Walker, Brandon Smith, Qing Yan Liu, A. Fazel Famili, Julio J. Valdés, Ziying Liu, Boleslaw Lach
    Data mining of gene expression changes in Alzheimer brain. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2004, v:31, n:2, pp:137-154 [Journal]
  14. Lluís A. Belanche Muñoz, Julio J. Valdés, Joaquim Comas, Ignasi R.-Roda, Manel Poch
    Towards a model of input-output behaviour os wastewater treatment plants using soft computing techniques. [Citation Graph (0, 0)][DBLP]
    Environmental Modelling and Software, 1999, v:14, n:5, pp:409-419 [Journal]
  15. Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valdés
    2006 Special issue: Earth Sciences and Environmental Applications of Computational IntelligenceIntroduction. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:2, pp:111- [Journal]
  16. Julio J. Valdés, Graeme Bonham-Carter
    Time dependent neural network models for detecting changes of state in complex processes: Applications in earth sciences and astronomy. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:2, pp:196-207 [Journal]
  17. 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]
  18. 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]
  19. 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]
  20. 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]
  21. Vladimir Cherkassky, William Hsieh, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valdés
    Computational intelligence in earth and environmental sciences. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2007, v:20, n:4, pp:433- [Journal]
  22. 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]
  23. 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]

  24. Greenland Temperatures and Solar Activity: A Computational Intelligence Approach. [Citation Graph (, )][DBLP]


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


  26. Data and Knowledge Visualization with Virtual Reality Spaces, Neural Networks and Rough Sets: Application to Geophysical Prospecting. [Citation Graph (, )][DBLP]


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


  28. Characterization of climatic variations in Spain at the regional scale: A computational intelligence approach. [Citation Graph (, )][DBLP]


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


  30. The Grid as a Single Entity: Towards a Behavior Model of the Whole Grid. [Citation Graph (, )][DBLP]


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


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


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


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


  35. Data Fusion via Nonlinear Space Transformations. [Citation Graph (, )][DBLP]


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