Automating the search of molecular motor templates by evolutionary methods. - Jose D. Fernández 001; Francisco J. Vico (Biosyst., 2011)

Behavior-Finding: Morphogenetic Designs Shaped by Function. - Daniel Lobo; Jose D. Fernández 001; Francisco J. Vico (Morphogenetic Engineering, Toward Programmable Complex Systems, 2012)

Complex and diverse morphologies can develop from a minimal genomic model. - Jose D. Fernández 001; Francisco J. Vico; René Doursat (GECCO, 2012)

Emergent Diversity in an Open-Ended Evolving Virtual Community. - Jose D. Fernández 001; Daniel Lobo; Gema M. Martín; René Doursat; Francisco J. Vico (Artif. Life, 2012)

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)

AI Methods in Algorithmic Composition: A Comprehensive Survey. - Jose D. Fernández 001; Francisco J. Vico (J. Artif. Intell. Res., 2013)

Implementing AI-powered semantic character recognition in motor racing sports. - Jose David Fernández Rodriguez; David Daniel Albarracín-Molina; Jesús Hormigo Cebolla (CoRR, 2020)

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 (IJCNN, 2022)

Anomalous Trajectory Detection for Automated Traffic Video Surveillance. - Jose D. Fernández 001; Jorge García-González; Rafaela Benítez-Rochel; Miguel A. Molina-Cabello; Ezequiel López-Rubio (IWINAC (1), 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 (IWINAC (1), 2022)

Photovoltaic Energy Prediction Using Machine Learning Techniques. - Gonzalo Surribas Sayago; Jose David Fernández Rodriguez; Enrique Domínguez (IWANN (1), 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 (SOCO (2), 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)

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)

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, 2023)

Advancing Photovoltaic Forecasting with Neural Networks: Integrating N-Beats and Sequential Models with Fourier Analysis. - Gonzalo Surribas Sayago; Jose David Fernández Rodriguez; Enrique Domínguez (IBERAMIA, 2024)

Deep Learning Models for Gait Event Prediction. - Diego Teran-Pineda; Karl Thurnhofer-Hemsi; José David Fernández-Rodríguez; Enrique Domínguez (IJCNN, 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 (IWINAC (2), 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 (IWINAC (2), 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 (IWINAC (2), 2024)

Automated Semantic Labelling of Images Generated with Deep Diffusion Probabilistic Models. - José David Fernández-Rodríguez; Jesús Benito-Picazo; Iván García Aguilar; Ezequiel López-Rubio (SOCO (1), 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., 2024)

Learning to shape beams: Using a neural network to control a beamforming antenna. - José David Fernández-Rodríguez; Iván García Aguilar; Rafael Marcos Luque Baena; Ezequiel López-Rubio; Marcos Baena-Molina; Juan Francisco Valenzuela-Valdés (Comput. Networks, 2025)

Latent diffusion for arbitrary zoom MRI super-resolution. - Jorge Andrés Mármol-Rivera; José David Fernández-Rodríguez; Beatriz Asenjo; Ezequiel López-Rubio (Expert Syst. Appl., 2025)

Representation of Molecules by Sequences of Instructions. - Karl Thurnhofer-Hemsi; Iván García Aguilar; José David Fernández-Rodríguez; Ezequiel López-Rubio (J. Chem. Inf. Model., 2025)

Enhanced generation of automatically labelled image segmentation datasets by advanced style interpreter deep architectures. - Marcos Sergio Pacheco dos Santos Lima Junior; Ezequiel López-Rubio; Juan Miguel Ortiz-de-Lazcano-Lobato; José David Fernández-Rodríguez (Pattern Recognit. Lett., 2025)

Enhanced deep-style interpreter for automatic synthesis of annotated medical images. - Marcos Sergio Pacheco dos Santos Lima Junior; Juan Miguel Ortiz-de-Lazcano-Lobato; José David Fernández-Rodríguez; Ezequiel López-Rubio (Neural Comput. Appl., 2025)