Publications by the researcher in collaboration with Enrique Castillo Ron (16)

2015

  1. Distributed one-class support vector machine

    International Journal of Neural Systems, Vol. 25, Núm. 7

2013

  1. A minimum volume covering approach with a set of ellipsoids

    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 35, Núm. 12, pp. 2997-3009

  2. Estimating the parameters of a fatigue model using Benders' decomposition

    Annals of Operations Research, Vol. 210, Núm. 1, pp. 309-331

2007

  1. A new wrapper method for feature subset selection

    ESANN 2005 Proceedings - 13th European Symposium on Artificial Neural Networks

  2. Functional network topology learning and sensitivity analysis based on ANOVA decomposition

    Neural Computation, Vol. 19, Núm. 1, pp. 231-257

2006

  1. A very fast learning method for neural networks based on sensitivity analysis

    Journal of Machine Learning Research, Vol. 7, pp. 1159-1182

  2. Functional networks and analysis of variance for feature selection

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

2005

  1. Linear-least-squares initialization of multilayer perceptrons through backpropagation of the desired response

    IEEE Transactions on Neural Networks, Vol. 16, Núm. 2, pp. 325-337

  2. Modelling engineering problems using dimensional analysis for feature extraction

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

2004

  1. A measure of fault tolerance for functional networks

    Neurocomputing, Vol. 62, Núm. 1-4, pp. 327-347

2003

  1. Accurate Initialization of Neural Network Weights by Backpropagation of the Desired Response

    Proceedings of the International Joint Conference on Neural Networks

  2. Linear least-squares based methods for neural networks learning

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2714, pp. 84-91

  3. Recovering missing data with functional and Bayesian networks

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2687, pp. 489-496

2002

  1. A global optimum approach for one-layer neural networks

    Neural Computation, Vol. 14, Núm. 6, pp. 1429-1449

  2. Local modeling using self-organizing maps and single layer neural networks

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

2001

  1. A measure of noise immunity for functional networks

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