Publications by the researcher in collaboration with Jesús Antonio Vega Sánchez (35)

2024

  1. A Machine Learning Approach to Predict Radiation Effects in Microelectronic Components

    Sensors, Vol. 24, Núm. 13

  2. Deep Learning Models to Reduce Stray Light in TJ-II Thomson Scattering Diagnostic

    Sensors, Vol. 24, Núm. 9

2023

  1. A programmable web platform for distributed access, analysis, and visualization of data

    Fusion Engineering and Design, Vol. 197

2022

  1. Desarrollo de un entorno colaborativo para aplicaciones de fusión

    Actas de las XXXVII Jornadas de Automática 7, 8 y 9 de septiembre de 2016, Madrid

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

2018

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

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

  2. Image classification by using a reduced set of features in the TJ-II Thomson Scattering diagnostic

    Fusion Engineering and Design, Vol. 129, pp. 99-103

  3. Metodología Scrum en el Desarrollo de Proyectos Fin de Carrera y Fin de Grado en una Universidad a Distancia

    La profesionalización del docente a través de la innovación educativa. Libro de actas: IX Jornadas de redes de investigación en innovación docente. UNED, Madrid. 28, 29 y 30 de junio de 2017

  4. Software parallelization of a probabilistic classifier based on Venn Prediction: Application to the TJ-II Thomson Scattering

    Fusion Engineering and Design, Vol. 129, pp. 130-133

2016

  1. Conformal prediction of disruptions from scratch: Application to an ITER scenario

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Determination of the optimal number of clusters using a spectral clustering optimization

    Expert Systems with Applications, Vol. 65, pp. 304-314

  3. Unsupervised event characterization and detection in multichannel signals: An EEG application

    Sensors (Switzerland), Vol. 16, Núm. 4

  4. Unsupervised event detection and classification of multichannel signals

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

2010

  1. Application of event-based sampling strategies for fusion research

    Fusion Science and Technology, Vol. 58, Núm. 2, pp. 666-674

2009

  1. Automated recognition system for ELM classification in JET

    Fusion Engineering and Design, Vol. 84, Núm. 2-6, pp. 712-715

  2. Dynamic clustering and modeling approaches for fusion plasma signals

    IEEE Transactions on Instrumentation and Measurement, Vol. 58, Núm. 9, pp. 2969-2978

2008

  1. Classifier based on support vector machine for JET plasma configurations

    Review of Scientific Instruments

  2. Data mining technique for fast retrieval of similar waveforms in Fusion massive databases

    Fusion Engineering and Design, Vol. 83, Núm. 1, pp. 132-139