Publicacions en què col·labora amb Ginés Rubio Flores (13)

2010

  1. Applying multiobjective RBFNNs optimization and feature selection to a mineral reduction problem

    Expert Systems with Applications, Vol. 37, Núm. 6, pp. 4050-4057

  2. Design of specific-to-problem kernels and use of kernel weighted K-nearest neighbours for time series modelling

    Neurocomputing, Vol. 73, Núm. 10-12, pp. 1965-1975

  3. Interfaz para MPI en MATLAB aplicada a la docencia en programación paralela

    La innovación educativa en el contexto actual de la educación superior (Vicerreitoría de Formación e Innovación Educativa), pp. 221-225

  4. New method for instance or prototype selection using mutual information in time series prediction

    Neurocomputing, Vol. 73, Núm. 10-12, pp. 2030-2038

  5. Using near-infrared spectroscopy in the classification of white and iberian pork with neural networks

    Neural Computing and Applications, Vol. 19, Núm. 3, pp. 465-470

2009

  1. Applying mutual information for prototype or instance selection in regression problems

    ESANN 2009 Proceedings, 17th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning

  2. Creation of specific-to-problem kernel functions for function approximatio

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Efficient optimization of the parameters of LS-SVM for regression versus cross-validation error

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  4. Global and local modelling in radial basis functions networks

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  5. Mutual information based initialization of forward-backward search for feature selection in regression problems

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  6. Parallelization of the nearest-neighbour search and the cross-validation error evaluation for the kernel weighted k-nn algorithm applied to large data dets in matlab

    Proceedings of the 2009 International Conference on High Performance Computing and Simulation, HPCS 2009

  7. Risk factor identification and classification of macrosomic newborns by neural networks

    ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications

  8. Strengthening the forward variable selection stopping criterion

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)