Publicaciones en las que colabora con JESUS DANIEL SANTOS RODRIGUEZ (13)

2023

  1. Magnetic shielding simulation for particle detection

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

2022

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

    Astronomy and Astrophysics, Vol. 666

  2. Construction status and prospects of the Hyper-Kamiokande project

    Proceedings of Science

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

    Astronomy and Astrophysics, Vol. 658

  4. Prospects for neutrino astrophysics with Hyper-Kamiokande

    Proceedings of Science

  5. 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

  2. Supernova Model Discrimination with Hyper-Kamiokande

    Astrophysical Journal, Vol. 916, Núm. 1

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

2018

  1. Compensating atmospheric turbulence with convolutional neural networks for defocused pupil image wave-front sensors

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