José David Fernández-Rodríguez

15 papers B 1Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Accelerating configuration of Reconfigurable Intelligent Surfaces through a hardware-enhanced deep learning approach.
Comput. Electr. Eng.
Rubén Padial-Allué, Alberto Martín-Martín, Antonio García, Encarnación Castillo, José David Fernández-Rodríguez, Marcos Baena-Molina, Luís Parrilla Roure
2025 J jnl
Enhanced deep-style interpreter for automatic synthesis of annotated medical images.
Neural Comput. Appl.
Marcos Sergio Pacheco dos Santos Lima Junior, Juan Miguel Ortiz-de-Lazcano-Lobato, José David Fernández-Rodríguez, Ezequiel López-Rubio
2025 J jnl
Enhanced generation of automatically labelled image segmentation datasets by advanced style interpreter deep architectures.
Pattern Recognit. Lett.
Marcos Sergio Pacheco dos Santos Lima Junior, Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, José David Fernández-Rodríguez
2025 J jnl
Improving 5 G base station placement through precise rooftop detection using super-resolution diffusion models and satellite image analysis.
Nat. Comput.
Iván García Aguilar, Jesús Galeano-Brajones, Francisco Luna-Valero, Javier Carmona-Murillo, José David Fernández-Rodríguez, Rafael M. Luque-Baena
2025 J jnl
Latent diffusion for arbitrary zoom MRI super-resolution.
Expert Syst. Appl.
Jorge Andrés Mármol-Rivera, José David Fernández-Rodríguez, Beatriz Asenjo, Ezequiel López-Rubio
2025 J jnl
Learning to shape beams: Using a neural network to control a beamforming antenna.
Comput. Networks
José David Fernández-Rodríguez, Iván García Aguilar, Rafael Marcos Luque Baena, Ezequiel López-Rubio, Marcos Baena-Molina, Juan Francisco Valenzuela-Valdés
2025 J jnl
Representation of Molecules by Sequences of Instructions.
J. Chem. Inf. Model.
Karl Thurnhofer-Hemsi, Iván García Aguilar, José David Fernández-Rodríguez, Ezequiel López-Rubio
2024 — conf
Automated Semantic Labelling of Images Generated with Deep Diffusion Probabilistic Models.
SOCO (1)
José David Fernández-Rodríguez, Jesús Benito-Picazo, Iván García Aguilar, Ezequiel López-Rubio
2024 B conf
Deep Learning Models for Gait Event Prediction.
IJCNN
Diego Teran-Pineda, Karl Thurnhofer-Hemsi, José David Fernández-Rodríguez, Enrique Domínguez
2024 — conf
Prediction of Optimal Locations for 5G Base Stations in Urban Environments Using Neural Networks and Satellite Image Analysis.
IWINAC (2)
Iván García Aguilar, Jesús Galeano-Brajones, Francisco Luna-Valero, Javier Carmona-Murillo, José David Fernández-Rodríguez, Rafael M. Luque-Baena
2024 J jnl
Semi-Supervised Semantic Image Segmentation by Deep Diffusion Models and Generative Adversarial Networks.
Int. J. Neural Syst.
José Ángel Díaz-Francés, José David Fernández-Rodríguez, Karl Thurnhofer-Hemsi, Ezequiel López-Rubio
2024 — conf
Unsupervised Detection of Incoming and Outgoing Traffic Flows in Video Sequences.
IWINAC (2)
José David Fernández-Rodríguez, Pablo Carmona-Martínez, Rafaela Benítez-Rochel, Miguel A. Molina-Cabello, Ezequiel López-Rubio
2023 J jnl
A convolutional autoencoder and a neural gas model based on Bregman divergences for hierarchical color quantization.
Neurocomputing
José David Fernández-Rodríguez, Esteban J. Palomo, Jesús Benito-Picazo, Enrique Domínguez, Ezequiel López-Rubio, Francisco Ortega-Zamorano
2023 J jnl
Dynamic learning rates for continual unsupervised learning.
Integr. Comput. Aided Eng.
José David Fernández-Rodríguez, Esteban José Palomo, Juan Miguel Ortiz-de-Lazcano-Lobato, Gonzalo Ramos-Jiménez, Ezequiel López-Rubio
2022 — conf
A Novel Continual Learning Approach for Competitive Neural Networks.
IWINAC (1)
Esteban J. Palomo, Juan Miguel Ortiz-de-Lazcano-Lobato, José David Fernández-Rodríguez, Ezequiel López-Rubio, Rosa Maza-Quiroga