Publicacións nas que colabora con JOSE DAVID MARTIN GUERRERO (13)

2016

  1. Online fitted policy iteration based on extreme learning machines

    Knowledge-Based Systems, Vol. 100, pp. 200-211

2015

  1. Improving Mortality Prediction in Cardiovascular Risk Patients by Balancing Classes

    Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015

2014

  1. Ensembles of extreme learning machine networks for value prediction

    22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2014 - Proceedings

  2. Optimization of anemia treatment in hemodialysis patients via reinforcement learning

    Artificial Intelligence in Medicine, Vol. 62, Núm. 1, pp. 47-60

2013

  1. ManiSonS: A new visualization tool for manifold clustering

    ESANN 2013 proceedings, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

2012

  1. Extended visualization method for classification trees

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

2011

  1. Adaptive treatment of anemia on hemodialysis patients: A reinforcement learning approach

    IEEE SSCI 2011: Symposium Series on Computational Intelligence - CIDM 2011: 2011 IEEE Symposium on Computational Intelligence and Data Mining

  2. Growing hierarchical sectors on sectors

    ESANN 2011 - 19th European Symposium on Artificial Neural Networks

2010

  1. Growing hierarchical sectors on sectors

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

2006

  1. Efficient pruning of multilayer perceptrons using a fuzzy sigmoid activation function

    Neurocomputing, Vol. 69, Núm. 7-9 SPEC. ISS., pp. 909-912

  2. Enhancing decision-based neural networks through local competition

    Neurocomputing, Vol. 69, Núm. 7-9 SPEC. ISS., pp. 905-908

  3. Neural networks for analysing the relevance of input variables in the prediction of tropospheric ozone concentration

    Atmospheric Environment, Vol. 40, Núm. 32, pp. 6173-6180

  4. Non-linear RLS-based algorithm for pattern classification

    Signal Processing, Vol. 86, Núm. 5, pp. 1104-1108