Publicacions en què col·labora amb JESUS DANIEL SANTOS RODRIGUEZ (23)

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

    Optics and Lasers in Engineering, Vol. 158

  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. Compensating atmospheric turbulence with CNNs for defocused pupil image wavefront sensors

    Logic Journal of the IGPL, Vol. 29, Núm. 2, pp. 180-192

  2. Defocused image deep learning designed for wavefront reconstruction in tomographic pupil image sensors

    Mathematics, Vol. 9, Núm. 1, pp. 1-15

  3. Fully convolutional approaches for numerical approximation of turbulent phases in solar adaptive optics

    Mathematics, Vol. 9, Núm. 14

  4. Overview and choice of artificial intelligence approaches for night-time adaptive optics reconstruction

    Mathematics, Vol. 9, Núm. 11

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

    Astronomy and Astrophysics, Vol. 648

  6. 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)

2019

  1. A multivariate regression approach for identification of SNPs importance in prostate cancer

    Journal of Experimental and Theoretical Artificial Intelligence, Vol. 31, Núm. 6, pp. 817-828

  2. Convolutional neural networks approach for solar reconstruction in SCAO configurations

    Sensors (Switzerland), Vol. 19, Núm. 10

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

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

  4. 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. A multiregressive approach for SNPs identification in prostate cancer

    Advances in Intelligent Systems and Computing

  2. 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)