Sergio Luis Suárez Gómez
Orcid: 0000-0003-4970-0502
According to our database1,
Sergio Luis Suárez Gómez
authored at least 13 papers
between 2016 and 2021.
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Bibliography
2021
Compensating atmospheric turbulence with CNNs for defocused pupil image wavefront sensors.
Log. J. IGPL, 2021
2020
A methodology for detecting relevant single nucleotide polymorphism in prostate cancer with multivariate adaptive regression splines and backpropagation artificial neural networks.
Neural Comput. Appl., 2020
Early Fully-Convolutional Approach to Wavefront Imaging on Solar Adaptive Optics Simulations.
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020
2019
Convolutional Neural Networks Approach for Solar Reconstruction in SCAO Configurations.
Sensors, 2019
A multivariate regression approach for identification of SNPs importance in prostate cancer.
J. Exp. Theor. Artif. Intell., 2019
Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019
2018
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018
Compensating Atmospheric Turbulence with Convolutional Neural Networks for Defocused Pupil Image Wave-Front Sensors.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018
2017
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, 2017
Genetic Algorithm Based on Support Vector Machines for Computer Vision Syndrome Classification.
Proceedings of the International Joint Conference SOCO'17-CISIS'17-ICEUTE'17, 2017
A Methodology for the Detection of Relevant Single Nucleotide Polymorphism in Prostate Cancer by Means of Multivariate Adaptive Regression Splines and Backpropagation Artificial Neural Networks.
Proceedings of the International Joint Conference SOCO'17-CISIS'17-ICEUTE'17, 2017
Proceedings of the International Joint Conference SOCO'17-CISIS'17-ICEUTE'17, 2017
2016
Analysing the Performance of a Tomographic Reconstructor with Different Neural Networks Frameworks.
Proceedings of the Intelligent Systems Design and Applications, 2016