María Luisa Sánchez Rodríguez

According to our database, María Luisa Sánchez Rodríguez authored at least 10 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Computing Transiting Exoplanet Parameters with 1D Convolutional Neural Networks.

Santiago Iglesias Álvarez, Enrique Díez Alonso, María Luisa Sánchez Rodríguez, Javier Rodríguez Rodríguez, Saúl Pérez Fernández, Francisco Javier de Cos Juez

Axioms, February, 2024

2023

One-Dimensional Convolutional Neural Networks for Detecting Transiting Exoplanets.

Santiago Iglesias Álvarez, Enrique Díez Alonso, María Luisa Sánchez Rodríguez, Javier Rodríguez Rodríguez, Fernando Sánchez Lasheras, Francisco Javier de Cos Juez

Axioms, April, 2023

Transiting Exoplanet Detection Through 1D Convolutional Neural Networks.

Santiago Iglesias Álvarez, Enrique Díez Alonso, María Luisa Sánchez Rodríguez, Javier Rodríguez Rodríguez, Saúl Pérez Fernández, Ronny Steveen Anangonó Tutasig, Carlos González-Gutiérrez, Alejandro Buendía Roca, José Luís Calvo-Rolle, Francisco Javier de Cos Juez

Proceedings of the Distributed Computing and Artificial Intelligence, Special Sessions II, 2023

2020

An artificial neural network model for the prediction of bruxism by means of occlusal variables.

Angel Álvarez-Arenal, Héctor deLlanos-Lanchares, Elena Martín Fernández, Mario Mauvezin-Quevedo, María Luisa Sánchez Rodríguez, Francisco Javier de Cos Juez

Neural Comput. Appl., 2020

Missing Data Imputation for Continuous Variables Based on Multivariate Adaptive Regression Splines.

Fernando Sánchez Lasheras, Paulino José García Nieto, Esperanza García Gonzalo, Francisco Argüeso Gómez, Francisco Javier Iglesias-Rodríguez, Ana Suárez Sánchez, Jesús Daniel Santos Rodríguez, María Luisa Sánchez Rodríguez, Joaquín González-Nuevo, Laura Bonavera, Luigi Toffolatti, Susana del Carmen Fernández Menéndez, Francisco Javier de Cos Juez

Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020

2019

Convolutional Neural Networks Approach for Solar Reconstruction in SCAO Configurations.

Sergio Luis Suárez Gómez, Carlos González-Gutiérrez, Francisco García Riesgo, María Luisa Sánchez Rodríguez, Francisco Javier Iglesias-Rodríguez, Jesús Daniel Santos Rodríguez

Sensors, 2019

Rapid tomographic reconstruction through GPU-based adaptive optics.

Carlos González-Gutiérrez, María Luisa Sánchez Rodríguez, Ramón Ángel Fernández Díaz, José Luís Calvo-Rolle, Nieves Roqueñí Gutiérrez, Francisco Javier de Cos Juez

Log. J. IGPL, 2019

2018

Multi-GPU Development of a Neural Networks Based Reconstructor for Adaptive Optics.

Carlos González-Gutiérrez, María Luisa Sánchez Rodríguez, José Luís Calvo-Rolle, Francisco Javier de Cos Juez

Complex., 2018

Improving Adaptive Optics Reconstructions with a Deep Learning Approach.

Sergio Luis Suárez Gómez, Carlos González-Gutiérrez, Enrique Díez Alonso, Jesús Daniel Santos Rodríguez, María Luisa Sánchez Rodríguez, Jorge Carballido-Landeira, Alastair Basden, James Osborn

Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018

2016

Analysing the Performance of a Tomographic Reconstructor with Different Neural Networks Frameworks.

Sergio Luis Suárez Gómez, Carlos González-Gutiérrez, Jesús Daniel Santos Rodríguez, María Luisa Sánchez Rodríguez, Fernando Sánchez Lasheras, Francisco Javier de Cos Juez

Proceedings of the Intelligent Systems Design and Applications, 2016