Publicaciones en las que colabora con PABLO ESCANDELL MONTERO (35)

2017

  1. A framework for modelling the biomechanical behaviour of the human liver during breathing in real time using machine learning

    Expert Systems with Applications, Vol. 71, pp. 342-357

  2. Supervised Quantum Learning without Measurements

    Scientific Reports, Vol. 7, Núm. 1

  3. Use of SOMs for footwear comfort evaluation

    Neural Computing and Applications, Vol. 28, Núm. 7, pp. 1763-1773

2016

  1. A new visualization tool for data mining techniques

    Progress in Artificial Intelligence, Vol. 5, Núm. 2, pp. 137-154

  2. ELM Regularized Method for Classification Problems

    International Journal on Artificial Intelligence Tools, Vol. 25, Núm. 1

  3. Online fitted policy iteration based on extreme learning machines

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

2015

  1. A new machine learning approach for predicting the response to anemia treatment in a large cohort of End Stage Renal Disease patients undergoing dialysis

    Computers in Biology and Medicine, Vol. 61, pp. 56-61

  2. Educational software based on matlab GUIs for neural networks courses

    Handbook of Research on Computational Simulation and Modeling in Engineering (IGI Global), pp. 333-357

  3. Visible-NIR reflectance spectroscopy and manifold learning methods applied to the detection of fungal infections on citrus fruit

    Journal of Food Engineering, Vol. 163, pp. 17-24

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. Least-squares temporal difference learning based on an extreme learning machine

    Neurocomputing, Vol. 141, pp. 37-45

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

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

  4. Prediction of the hemoglobin level in hemodialysis patients using machine learning techniques

    Computer Methods and Programs in Biomedicine, Vol. 117, Núm. 2, pp. 208-217

2013

  1. Bayesian regularized committee of extreme learning machine

    ICPRAM 2013 - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods

  2. Hyperspectral LCTF-based system for classification of decay in mandarins caused by Penicillium digitatum and Penicillium italicum using the most relevant bands and non-linear classifiers

    Postharvest Biology and Technology, Vol. 82, pp. 76-86

  3. Least-squares temporal difference learning based on extreme learning machine

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

  4. Machine learning techniques for short-term electric power demand prediction

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

  5. ManiSonS: A new visualization tool for manifold clustering

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

  6. Sparse Manifold Clustering and Embedding to discriminate gene expression profiles of glioblastoma and meningioma tumors

    Computers in Biology and Medicine, Vol. 43, Núm. 11, pp. 1863-1869

  7. Temperature forecast in buildings using machine learning techniques

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