Publicacións nas que colabora con Ignacio Pastor Díaz (11)

2024

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

    Sensors, Vol. 24, Núm. 9

2018

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

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

  2. 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

2015

  1. Computationally efficient five-class image classifier based on venn predictors

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

2014

  1. Iterative noise removal from temperature and density profiles in the TJ-II Thomson scattering

    Fusion Engineering and Design

2013

  1. Application and validation of image processing algorithms to reduce the stray light on the tj-ii thomson scattering diagnostic

    Fusion Science and Technology, Vol. 63, Núm. 1, pp. 20-25

2012

  1. Image processing methods for noise reduction in the TJ-II Thomson Scattering diagnostic

    Fusion Engineering and Design, Vol. 87, Núm. 12, pp. 2170-2173

2011

  1. Computationally efficient SVM multi-class image recognition with confidence measures

    Fusion Engineering and Design

2010

  1. Upgrade of the automatic analysis system in the TJ-II Thomson Scattering diagnostic: New image recognition classifier and fault condition detection

    Fusion Engineering and Design, Vol. 85, Núm. 3-4, pp. 415-418

2007

  1. Recent results on structural pattern recognition for Fusion massive databases

    2007 IEEE International Symposium on Intelligent Signal Processing, WISP

2005

  1. Application of intelligent classification techniques to the TJ-II thomson scattering diagnostic

    32nd EPS Conference on Plasma Physics 2005, EPS 2005, Held with the 8th International Workshop on Fast Ignition of Fusion Targets - Europhysics Conference Abstracts