Publicaciones en las que colabora con Ginés Rubio Flores (22)

2019

  1. Deep learning techniques applied to the physics of extensive air showers

    Astroparticle Physics, Vol. 111, pp. 12-22

2011

  1. A heuristic method for parameter selection in LS-SVM: Application to time series prediction

    International Journal of Forecasting, Vol. 27, Núm. 3, pp. 725-739

  2. Global and local modelling in RBF networks

    Neurocomputing, Vol. 74, Núm. 16, pp. 2594-2602

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. Method for prediction of protein-protein interactions in yeast using genomics/proteomics information and feature selection

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

  6. 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)

  7. 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

  8. Prediction of protein-protein interactions in Yeast using SVMs with Genomics/Proteomics information and feature selection

    2009 24th International Symposium on Computer and Information Sciences, ISCIS 2009

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

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

  10. Strengthening the forward variable selection stopping criterion

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

2007

  1. Kernel methods applied to time series forecasting

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

  2. On incorporating seasonal information on recursive time series predictors

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