Browsing by author "Suárez Gómez, Sergio Luis"

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

Sánchez Lasheras, J. E.; Suárez Gómez, Sergio Luis

; Santos Rodríguez, Jesús Daniel

; Castaño-Vinyals, G.; Pérez-Gómez, B.; Tardón García, Adonina

(2018)

A transiting super-Earth close to the inner edge of the habitable zone of an M0 dwarf star

Díez Alonso, Enrique

; González Hernandez, J. I.; Toledo Padrón, B.; Suárez Gómez, Sergio Luis

; Suárez Mascareno, A.; Aguado, D. S.; González Gutiérrez, Carlos

; Cabrera Lavers, A.; Carballido Landeira, Jorge

; Bonavera, Laura

; Cos Juez, Francisco Javier de

; Rebolo, R. (2019)

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

Suárez Gómez, Sergio Luis

; González Gutiérrez, Carlos

; Santos Rodríguez, Jesús Daniel

; Sánchez Rodríguez, María Luisa

; Sánchez Lasheras, Fernando

; Cos Juez, Francisco Javier de

(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

Suárez Gómez, Sergio Luis

; Santos Rodríguez, Jesús Daniel

; Iglesias Rodríguez, Francisco Javier

; Cos Juez, Francisco Javier de

(2017)

An approach using deep learning for tomographic reconstruction in solar observation

Suárez Gómez, Sergio Luis

; González Gutiérrez, Carlos

; Sánchez Lasheras, Fernando

; Basden, A. G.; Montilla, I.; Reyes, M.; Collados Vera, M.; Cos Juez, Francisco Javier de

(2017)

Caracterización y desarrollo de modelos de redes neuronales artificiales como reconstructores de òptica adaptativa

Suárez Gómez, Sergio Luis

(2019-11-05)

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

Suárez Gómez, Sergio Luis

; González Gutiérrez, Carlos

; Díez Alonso, Enrique

; Santos Rodríguez, Jesús Daniel

; Bonavera, Laura

; Fernández Valdivia, J. J.; Rodríguez Ramos, J. M.; Rodríguez Ramos, L. F. (2018)

Convolutional CARMEN: Tomographic Reconstruction for Night Observation

García Riesgo, Francisco

; Suárez Gómez, Sergio Luis

; Sánchez Lasheras, Fernando

; González Gutiérrez, Carlos

; Peñalver San Cristóbal, Carmen; Cos Juez, Francisco Javier de

(2019)

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

García Riesgo, Francisco

; Suárez Gómez, Sergio Luis

; Santos Rodríguez, Jesús Daniel

; González Gutiérrez, Carlos

; Díez Alonso, Enrique

; Iglesias Rodríguez, Francisco Javier

; Riesgo Fernández, Pedro

; Bonavera, Laura

; Fernández Menéndez, Susana del Carmen

; Cos Juez, Francisco Javier de

(2020)

Effective extraction of high purity sulfur from industrial residue with low sulfur content

Suárez Gómez, Sergio Luis

; Bonavera, Laura

; Carballido Landeira, Jorge

; Blanco, P.; Blanco Álvarez, Francisco

; Sánchez Rodríguez, María Luisa

; Cos Juez, Francisco Javier de

(2020)

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

Suárez Gómez, Sergio Luis

; González Gutiérrez, Carlos

; Díez Alonso, Enrique

; Santos Rodríguez, Jesús Daniel

; Sánchez Rodríguez, María Luisa

; Morris, T.; Osborn, J.; Basden, A.; Bonavera, Laura

; González-Nuevo González, Joaquín

; Cos Juez, Francisco Javier de

(2019)

Genetic algorithm based on support vector machines for computer vision syndrome classification

Artime Ríos, Eva María; Seguí Crespo, M. M.; Suárez Sánchez, Ana

; Suárez Gómez, Sergio Luis

; Sánchez Lasheras, Fernando

(2018)

Improving adaptive optics reconstructions with a deep learning approach

Suárez Gómez, Sergio Luis

; González Gutiérrez, Carlos

; Díez Alonso, Enrique

; Santos Rodríguez, Jesús Daniel

; Sánchez Rodríguez, María Luisa

; Carballido Landeira, Jorge

; Basden, A. G.; Osborn, J. (2018)

A methodology for detecting relevant single nucleotide polymorphism in prostate cancer with multivariate adaptive regression splines and backpropagation artificial neural networks

Sánchez Lasheras, Juan Enrique; González Donquiles, Carmen; García Nieto, Paulino José

; Jiménez Moleón, José Juan; Salas, Dolores; Suárez Gómez, Sergio Luis

; Molina de la Torre, Antonio José; González-Nuevo González, Joaquín

; Bonavera, Laura

; Carballido Landeira, Jorge

; Cos Juez, Francisco Javier de

(2018)

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

Sánchez Lasheras, Juan Enrique; Tardón García, Adonina

; Fernández Tardón, Guillermo

; Suárez Gómez, Sergio Luis

; Martín Sánchez, V.; González Donquiles, Carmen; Cos Juez, Francisco Javier de

(2018)

A multiregressive approach for SNPs identification in prostate cancer

Gutiérrez, D. Á.; Sánchez Lasheras, Fernando

; Suárez Gómez, Sergio Luis

; Santos Rodríguez, Jesús Daniel

; Tardón García, Adonina

; Fernández Tardón, Guillermo

; González Donquiles, Carmen; Sánchez Martín, Vicente (2018)

New adaptive optics tomographic pupil image reconstructor based on convolutional neural networks

González Gutiérrez, Carlos

; Fernández Valdivia, Juan José; Suárez Gómez, Sergio Luis

; Rodríguez Ramos, José Manuel; Rodríguez Ramos, Luis Fernando; Cos Juez, Francisco Javier de

(2017)

Planetary candidates transiting cool dwarf stars from campaigns 12 to 15 of K2

Castro González, Amadeo; Díez Alonso, Enrique

; Menéndez Blanco, J.; Livingston, J. H.; De León, J. P.; Suárez Gómez, Sergio Luis

; González Gutiérrez, Carlos

; García Riesgo, Francisco

; Bonavera, Laura

; Iglesias Rodríguez, F. J.; Muñiz Sánchez, Rubén

; Everett, M. E.; Scott, N. J.; Howell, S. B.; Ciardi, D. R.; Gonzales, E. J.; Schlieder, J. E.; Cos Juez, Francisco Javier de

(2020)

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

Bonavera, Laura

; Suárez Gómez, Sergio Luis

; González-Nuevo González, Joaquín

; Muñiz Cueli, Marcos

; Santos Rodríguez, Jesús Daniel

; Sánchez Rodríguez, María Luisa

; Muñiz Sánchez, Rubén

; Cos Juez, Francisco Javier de

(2021)

QSOs sigposting cluster size halos as gravitational lenses: halo mass, projected mass density profile and concentration at z similar to 0.7

Bonavera, Laura

; González-Nuevo González, Joaquín

; Suárez Gómez, Sergio Luis

; Lapi, A.; Bianchini, F.; Negrello, M.; Díez Alonso, Enrique

; Santos Rodríguez, Jesús Daniel

; Cos Juez, Francisco Javier de

(2019)

Browsing by author "Suárez Gómez, Sergio Luis"

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

A transiting super-Earth close to the inner edge of the habitable zone of an M0 dwarf star ﻿

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

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 ﻿

An approach using deep learning for tomographic reconstruction in solar observation ﻿

Caracterización y desarrollo de modelos de redes neuronales artificiales como reconstructores de òptica adaptativa ﻿

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

Convolutional CARMEN: Tomographic Reconstruction for Night Observation ﻿

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

Effective extraction of high purity sulfur from industrial residue with low sulfur content ﻿

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

Genetic algorithm based on support vector machines for computer vision syndrome classification ﻿

Improving adaptive optics reconstructions with a deep learning approach ﻿

A methodology for detecting relevant single nucleotide polymorphism in prostate cancer with multivariate adaptive regression splines and backpropagation artificial neural networks ﻿

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 ﻿

A multiregressive approach for SNPs identification in prostate cancer ﻿

New adaptive optics tomographic pupil image reconstructor based on convolutional neural networks ﻿

Planetary candidates transiting cool dwarf stars from campaigns 12 to 15 of K2 ﻿

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

QSOs sigposting cluster size halos as gravitational lenses: halo mass, projected mass density profile and concentration at z similar to 0.7 ﻿

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

A transiting super-Earth close to the inner edge of the habitable zone of an M0 dwarf star

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

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

An approach using deep learning for tomographic reconstruction in solar observation

Caracterización y desarrollo de modelos de redes neuronales artificiales como reconstructores de òptica adaptativa

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

Convolutional CARMEN: Tomographic Reconstruction for Night Observation

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

Effective extraction of high purity sulfur from industrial residue with low sulfur content

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

Genetic algorithm based on support vector machines for computer vision syndrome classification

Improving adaptive optics reconstructions with a deep learning approach

A methodology for detecting relevant single nucleotide polymorphism in prostate cancer with multivariate adaptive regression splines and backpropagation artificial neural networks

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

A multiregressive approach for SNPs identification in prostate cancer

New adaptive optics tomographic pupil image reconstructor based on convolutional neural networks

Planetary candidates transiting cool dwarf stars from campaigns 12 to 15 of K2

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

QSOs sigposting cluster size halos as gravitational lenses: halo mass, projected mass density profile and concentration at z similar to 0.7