Publicaciones (37) Publicaciones de PABLO ESCANDELL MONTERO

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. Detección de podredumbres en cítricos mediante espectroscopia VIS/NIR y métodos de aprendizaje automático

    VIII Congreso Ibérico de agroingeniería: Retos de la nueva agricultura mediterránea. Libro de actas

  3. Detection of fungal infections on citrus fruit using VIS/NIR reflectance spectroscopy and machine learning methods

    VIII CONGRESO IBERICO DE AGROINGENIERIA LIBRO DE ACTAS: RETOS DE LA NUEVA AGRICULTURA MEDITERRANEA

  4. ELM Regularized Method for Classification Problems

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

  5. 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