Publicaciones en las que colabora con Alberto Gonzalez Prieto (41)

2012

  1. Daily living activity recognition based on statistical feature quality group selection

    Expert Systems with Applications, Vol. 39, Núm. 9, pp. 8013-8021

  2. Optimization of multiple sequence alignment methodologies using a multiobjective evolutionary algorithm based on NSGA-II

    2012 IEEE Congress on Evolutionary Computation, CEC 2012

  3. Self-evolving parameter-free Rule-based Controller

    IEEE International Conference on Fuzzy Systems

2011

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

    Neurocomputing, Vol. 74, Núm. 16, pp. 2683-2690

2010

  1. Analysis of the inducing factors involved in stem cell differentiation using feature selection techniques, support vector machines and decision trees

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

2009

  1. Multiple am modulated visual stimuli in brain-computer interface

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

2008

  1. Signal processing and perceptrons in an auditory based brain-computer interface

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

2007

  1. 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)

  2. Recursive prediction for long term time series forecasting using advanced models

    Neurocomputing, Vol. 70, Núm. 16-18, pp. 2870-2880

  3. Surface modelling with radial basis functions neural networks using virtual environments

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

  4. Use of ANNs as classifiers for selective attention brain-computer interfaces

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

  5. Use of Kohonen Maps as feature selector for selective attention brain-computer interfaces

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

  6. Using fuzzy logic to improve a clustering technique for function approximation

    Neurocomputing, Vol. 70, Núm. 16-18, pp. 2853-2860

2006

  1. A fuzzy-possibilistic fuzzy ruled clustering algorithm for RBFNNs design

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

  2. Supervised RBFNN centers and radii initialization for function approximation problems

    IEEE International Conference on Neural Networks - Conference Proceedings

2005

  1. A possibilistic approach to RBFN centers initialization

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

  2. Improving clustering technique for functional approximation problem using fuzzy logic: ICFA algorithm

    Lecture Notes in Computer Science

  3. Input variable selection in hierarchical RBF networks

    Lecture Notes in Computer Science

  4. TaSe model for long term time series forecasting

    Lecture Notes in Computer Science

  5. TaSe, a Taylor series-based fuzzy system model that combines interpretability and accuracy

    Fuzzy Sets and Systems, Vol. 153, Núm. 3, pp. 403-427