Jose D. Fernández

According to our database, Jose D. Fernández authored at least 20 papers between 2011 and 2024.

Collaborative distances:

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

2024

Semi-Supervised Semantic Image Segmentation by Deep Diffusion Models and Generative Adversarial Networks.

José Ángel Díaz-Francés, José David Fernández-Rodríguez, Karl Thurnhofer-Hemsi, Ezequiel López-Rubio

Int. J. Neural Syst., November, 2024

Unsupervised Detection of Incoming and Outgoing Traffic Flows in Video Sequences.

José David Fernández-Rodríguez, Pablo Carmona-Martínez, Rafaela Benítez-Rochel, Miguel A. Molina-Cabello, Ezequiel López-Rubio

Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, 2024

Enhanced Cellular Detection Using Convolutional Neural Networks and Sliding Window Super-Resolution Inference.

Iván García Aguilar, Rostyslav Zavoiko, Jose David Fernández Rodriguez, Rafael Marcos Luque Baena, Ezequiel López-Rubio

Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, 2024

Prediction of Optimal Locations for 5G Base Stations in Urban Environments Using Neural Networks and Satellite Image Analysis.

Iván García Aguilar, Jesús Galeano-Brajones, Francisco Luna-Valero, Javier Carmona-Murillo, José David Fernández-Rodríguez, Rafael M. Luque-Baena

Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, 2024

Deep Learning Models for Gait Event Prediction.

Diego Teran-Pineda, Karl Thurnhofer-Hemsi, José David Fernández-Rodríguez, Enrique Domínguez

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

A convolutional autoencoder and a neural gas model based on Bregman divergences for hierarchical color quantization.

José David Fernández-Rodríguez, Esteban J. Palomo, Jesús Benito-Picazo, Enrique Domínguez, Ezequiel López-Rubio, Francisco Ortega-Zamorano

Neurocomputing, August, 2023

Automated detection of vehicles with anomalous trajectories in traffic surveillance videos.

Jose David Fernández Rodriguez, Jorge García-González, Rafaela Benítez-Rochel, Miguel A. Molina-Cabello, Gonzalo Ramos-Jiménez, Ezequiel López-Rubio

Integr. Comput. Aided Eng., 2023

Dynamic learning rates for continual unsupervised learning.

José David Fernández-Rodríguez, Esteban José Palomo, Juan Miguel Ortiz-de-Lazcano-Lobato, Gonzalo Ramos-Jiménez, Ezequiel López-Rubio

Integr. Comput. Aided Eng., 2023

Parallel Processing Applied to Object Detection with a Jetson TX2 Embedded System.

Jesús Benito-Picazo, Jose David Fernández Rodriguez, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio

Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023

Photovoltaic Energy Prediction Using Machine Learning Techniques.

Gonzalo Surribas Sayago, Jose David Fernández Rodriguez, Enrique Domínguez

Proceedings of the Advances in Computational Intelligence, 2023

2022

A Novel Continual Learning Approach for Competitive Neural Networks.

Esteban J. Palomo, Juan Miguel Ortiz-de-Lazcano-Lobato, José David Fernández-Rodríguez, Ezequiel López-Rubio, Rosa Maza-Quiroga

Proceedings of the Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence, 2022

Anomalous Trajectory Detection for Automated Traffic Video Surveillance.

Jose D. Fernández, Jorge García-González, Rafaela Benítez-Rochel, Miguel A. Molina-Cabello, Ezequiel López-Rubio

Proceedings of the Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence, 2022

Enhanced Perspective Generation by Consensus of NeX neural models.

Marcos Sergio Pacheco dos Santos Lima Junior, Jose David Fernández Rodriguez, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio, Enrique Domínguez

Proceedings of the International Joint Conference on Neural Networks, 2022

2020

Implementing AI-powered semantic character recognition in motor racing sports.

Jose David Fernández Rodriguez, David Daniel Albarracín-Molina, Jesús Hormigo Cebolla

CoRR, 2020

2013

AI Methods in Algorithmic Composition: A Comprehensive Survey.

Jose D. Fernández, Francisco J. Vico

J. Artif. Intell. Res., 2013

Melomics: A Case-Study of AI in Spain.

Carlos Sánchez Quintana, Francisco Moreno Arcas, David Albarracín Molina, Jose David Fernández Rodriguez, Francisco J. Vico

AI Mag., 2013

2012

Emergent Diversity in an Open-Ended Evolving Virtual Community.

Jose D. Fernández, Daniel Lobo, Gema M. Martín, René Doursat, Francisco J. Vico

Artif. Life, 2012

Complex and diverse morphologies can develop from a minimal genomic model.

Jose D. Fernández, Francisco J. Vico, René Doursat

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Behavior-Finding: Morphogenetic Designs Shaped by Function.

Daniel Lobo, Jose D. Fernández, Francisco J. Vico

Proceedings of the Morphogenetic Engineering, Toward Programmable Complex Systems, 2012

2011

Automating the search of molecular motor templates by evolutionary methods.

Jose D. Fernández, Francisco J. Vico

Biosyst., 2011