Publicaciones en colaboración con investigadores/as de Universidad de Jaén (11)

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. Preselection of neurostimulation waveforms for visual prostheses using genetic algorithms

    BIODEVICES 2010 - 3rd International Conference on Biomedical Electronics and Devices, Proceedings

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. Efficient parallel feature selection for steganography problems

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

  3. 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)

  4. Parallel multiobjective memetic RBFNNs design and feature selection for function approximation problems

    Neurocomputing, Vol. 72, Núm. 16-18, pp. 3541-3555

2008

  1. Minimising the delta test for variable selection in regression problems

    International Journal of High Performance Systems Architecture, Vol. 1, Núm. 4, pp. 269-281

  2. Optimal pruned K-nearest neighbors: OP-KNN - Application to financial modeling

    Proceedings - 8th International Conference on Hybrid Intelligent Systems, HIS 2008

2007

  1. A first approach to birth weight prediction using RBFNNs

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

  2. Boosting the performance of a multiobjective algorithm to design RBFNNs through parallelization

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

  3. Parallel multi-objective memetic RBFNNs design and feature selection for function approximation problems

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