Publications (18) SEBASTIAN DORMIDO CANTO publications

filter_list Artificial Intelligence

2024

  1. Comparative Analysis of Deep Learning Methods for Fault Avoidance and Predicting Demand in Electrical Distribution

    Energies , Vol. 17, Núm. 11

  2. Enhancing Photovoltaic Power Predictions with Deep Physical Chain Model

    Algorithms, Vol. 17, Núm. 10

2022

  1. Deep learning exoplanets detection by combining real and synthetic data

    PLoS ONE, Vol. 17, Núm. 5 May

2021

  1. Nuclear Fusion Pattern Recognition by Ensemble Learning

    Complexity, Vol. 2021

2020

  1. Automatic Recognition of Anomalous Patterns in Discharges by Applying Deep Learning

    Fusion Science and Technology, Vol. 76, Núm. 8, pp. 925-932

  2. Automatic recognition of anomalous patterns in discharges by recurrent neural networks

    Fusion Engineering and Design, Vol. 154

  3. Position control of a mobile robot using reinforcement learning

    IFAC-PapersOnLine

  4. Reinforcement Learning for Position Control Problem of a Mobile Robot

    IEEE Access, Vol. 8, pp. 152941-152951

2019

  1. Clasificador de noticias usando autoencoders

    IEEE ICA-ACCA 2018 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0 - Proceedings

2018

  1. Adaptive predictors based on probabilistic SVM for real time disruption mitigation on JET

    Nuclear Fusion, Vol. 58, Núm. 5

  2. Applying Deep Learning for Improving Image Classification in Nuclear Fusion Devices

    IEEE Access, Vol. 6, pp. 72345-72356

  3. Automatic opinion classification using conformal predictors

    IET Conference Publications

2017

  1. Adaboost classification of TJ-II Thomson Scattering images

    Fusion Engineering and Design, Vol. 123, pp. 759-763

2016

  1. Automatic feature extraction in large fusion databases by using deep learning approach

    Fusion Engineering and Design, Vol. 112, pp. 979-983

  2. Disruption prediction on JET during the ILW experimental campaigns

    Fusion Science and Technology, Vol. 69, Núm. 2, pp. 485-494

  3. Global optimization driven by genetic algorithms for disruption predictors based on APODIS architecture

    Fusion Engineering and Design, Vol. 112, pp. 1014-1018

  4. Unsupervised event detection and classification of multichannel signals

    Expert Systems with Applications, Vol. 54, pp. 294-303

2014

  1. Adaptive high learning rate probabilistic disruption predictors from scratch for the next generation of tokamaks

    Nuclear Fusion, Vol. 54, Núm. 12