Publicacións en colaboración con investigadores/as de University of Florida (17)

2017

  1. Multi-messenger observations of a binary neutron star merger

    Astrophysical Journal Letters, Vol. 848, Núm. 2

2016

  1. Fault detection via recurrence time statistics and one-class classification

    Pattern Recognition Letters, Vol. 84, pp. 8-14

2014

  1. State-of-the-art in compressed GPU-based direct volume rendering

    Computer Graphics Forum, Vol. 33, Núm. 6, pp. 77-100

2012

  1. One-class classifier based on extreme value statistics

    ESANN 2012 proceedings, 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

2011

  1. IMECS 2011 - International MultiConference of Engineers and Computer Scientists 2011: Preface

    IMECS 2011 - International MultiConference of Engineers and Computer Scientists 2011

  2. Statistical dependence measure for feature selection in microarray datasets

    ESANN 2011 - 19th European Symposium on Artificial Neural Networks

2010

  1. Information Theoretic Fuzzy Modeling for Regression

    2010 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2010)

  2. Information Theoretic Fuzzy modeling for regression

    2010 IEEE World Congress on Computational Intelligence, WCCI 2010

  3. Neuro-fuzzy classification using the correntropy criterion: Application to sleep depth estimation

    Proceedings of the 2010 International Conference on Artificial Intelligence, ICAI 2010

  4. Statistical dependence measure for feature selection in microarray datasets

    ESANN 2011 proceedings, 19th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

2003

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

    Proceedings of the International Joint Conference on Neural Networks

  2. Accurate initialization of neural network weights by backpropagation of the desired response

    PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS 2003, VOLS 1-4

  3. 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

2002

  1. 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)