Publicaciones en las que colabora con JESUS DANIEL SANTOS RODRIGUEZ (17)

2023

  1. Magnetic shielding simulation for particle detection

    European Physical Journal Plus, Vol. 138, Núm. 10

  2. Wavefront Recovery for Multiple Sun Regions in Solar SCAO Scenarios with Deep Learning Techniques

    Mathematics, Vol. 11, Núm. 7

2022

  1. CENN: A fully convolutional neural network for CMB recovery in realistic microwave sky simulations

    Astronomy and Astrophysics, Vol. 666

  2. Comparative study of Shack-Hartmann configurations for atmospheric turbulence reconstructions in solar adaptive optics

    Optics and Lasers in Engineering, Vol. 158

  3. Multi-frequency point source detection with fully convolutional networks: Performance in realistic microwave sky simulations

    Astronomy and Astrophysics, Vol. 658

  4. The K2-OjOS Project*New and revisited planets and candidates in K2 campaigns 5, 16, & 18

    Monthly Notices of the Royal Astronomical Society, Vol. 509, Núm. 1, pp. 1075-1095

2021

  1. Point source detection with fully convolutional networks: Performance in realistic microwave sky simulations

    Astronomy and Astrophysics, Vol. 648

2020

  1. Early Fully-Convolutional Approach to Wavefront Imaging on Solar Adaptive Optics Simulations

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

  2. Missing Data Imputation for Continuous Variables Based on Multivariate Adaptive Regression Splines

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

2019

  1. Experience with artificial neural networks applied in multi-object adaptive optics

    Publications of the Astronomical Society of the Pacific, Vol. 131, Núm. 1004

  2. QSOs sigposting cluster size halos as gravitational lenses: Halo mass, projected mass density profile and concentration at z∼0.7

    Journal of Cosmology and Astroparticle Physics, Vol. 2019, Núm. 9

2017

  1. Analysing the performance of a tomographic reconstructor with different neural networks frameworks

    Advances in Intelligent Systems and Computing

  2. Analysis of the temporal structure evolution of physical systems with the self-organising tree algorithm (SOTA): Application for validating neural network systems on adaptive optics data before on-sky implementation

    Entropy, Vol. 19, Núm. 3

  3. Comparative study of neural network frameworks for the next generation of adaptive optics systems

    Sensors (Switzerland), Vol. 17, Núm. 6

  4. Using GPUS to speed up a tomographic reconstructor based on machine learning

    Advances in Intelligent Systems and Computing

  5. Using GPUs to Speed up a Tomographic Reconstructor Based on Machine Learning

    International Joint Conference SOCO’16-CISIS’16-ICEUTE’16: San Sebastián, Spain, October 19th-21st, 2016 Proceedings

2016

  1. Experience with wavefront sensor and deformable mirror interfaces for wide-field adaptive optics systems

    Monthly Notices of the Royal Astronomical Society, Vol. 459, Núm. 2, pp. 1350-1359