Sergio Luis Suárez Gómez

Orcid: 0000-0001-5260-4381

According to our database1, Sergio Luis Suárez Gómez authored at least 13 papers between 2016 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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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

Convolutional CARMEN: Tomographic Reconstruction for Night Observation.
Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019

2018
Improving Adaptive Optics Reconstructions with a Deep Learning Approach.
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

A Multiregressive Approach for SNPs Identification in Prostate Cancer.
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


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