An Intrusion Detection System Based on Hierarchical Self-Organization. - Esteban J. Palomo; Enrique Domínguez; Rafael Marcos Luque; José Muñoz (CISIS, 2008)

Video Object Segmentation with Multivalued Neural Networks. - Rafael Marcos Luque; Domingo López-Rodríguez; Enrique Mérida Casermeiro; Esteban J. Palomo (HIS, 2008)

A Dipolar Competitive Neural Network for Video Segmentation. - Rafael Marcos Luque; Domingo López-Rodríguez; Enrique Domínguez; Esteban J. Palomo (IBERAMIA, 2008)

A Neighborhood-Based Competitive Network for Video Segmentation and Object Detection. - Rafael Marcos Luque Baena; Enrique Domínguez; Domingo López-Rodríguez; Esteban J. Palomo (ICANN (1), 2008)

A New GHSOM Model Applied to Network Security. - Esteban J. Palomo; Enrique Domínguez; Rafael Marcos Luque; José Muñoz (ICANN (1), 2008)

A Neural Network Approach for Video Object Segmentation in Traffic Surveillance. - Rafael Marcos Luque; Enrique Domínguez; Esteban J. Palomo; José Muñoz (ICIAR, 2008)

A Competitive Neural Network for Intrusion Detection Systems. - Esteban J. Palomo; Enrique Domínguez; Rafael Marcos Luque; José Muñoz (MCO, 2008)

Detecting Critical Situation in Public Transport. - Rafael Marcos Luque; Francisco L. Valverde; Enrique Domínguez; Esteban J. Palomo; José Muñoz (PRIS, 2008)

A Self-Organized Multiagent System for Intrusion Detection. - Esteban J. Palomo; Enrique Domínguez; Rafael Marcos Luque; José Muñoz (ADMI, 2009)

Object Tracking in Video Sequences by Unsupervised Learning. - Rafael Marcos Luque; Juan Miguel Ortiz-de-Lazcano-Lobato; Ezequiel López-Rubio; Esteban J. Palomo (CAIP, 2009)

Dynamic adaptation in wireless sensor networks using Neuronal Networks. - Eduardo Cañete; Jaime Chen; Luis Llopis; Rafael Marcos Luque; Bartolomé Rubio (IADIS AC (2), 2009)

Growing Competitive Network for Tracking Objects in Video Sequences. - Juan Miguel Ortiz-de-Lazcano-Lobato; Rafael Marcos Luque; Domingo López-Rodríguez; Esteban J. Palomo (ICANNGA, 2009)

Network Security Using Growing Hierarchical Self-Organizing Maps. - Esteban J. Palomo; Enrique Domínguez; Rafael Marcos Luque; José Muñoz (ICANNGA, 2009)

Spam Detection Based on a Hierarchical Self-Organizing Map. - Esteban J. Palomo; Enrique Domínguez; Rafael Marcos Luque; José Muñoz (ICIC (2), 2009)

Image Hierarchical Segmentation Based on a GHSOM. - Esteban J. Palomo; Enrique Domínguez; Rafael Marcos Luque; José Muñoz (ICONIP (1), 2009)

A Neural Recognition System for Manufactured Objects. - Rafael Marcos Luque; Enrique Domínguez; Esteban J. Palomo; José Muñoz (IWANN (2), 2009)

Hierarchical Graphs for Data Clustering. - Esteban J. Palomo; Juan Miguel Ortiz-de-Lazcano-Lobato; Domingo López-Rodríguez; Rafael Marcos Luque (IWANN (1), 2009)

An ART-type network approach for video object detection. - Rafael Marcos Luque; Enrique Domínguez; Esteban J. Palomo; José Muñoz (ESANN, 2010)

Web Document Clustering based on a Hierarchical Self-Organizing Model. - Esteban J. Palomo; Enrique Domínguez; Rafael Marcos Luque; José Muñoz (ESANN, 2010)

An anomaly detection system using a GHSOM-1. - Esteban J. Palomo; Juan Miguel Ortiz-de-Lazcano-Lobato; Enrique Domínguez; Rafael Marcos Luque (IJCNN, 2010)

GA-based feature selection approach in biometric hand systems. - Rafael Marcos Luque; David A. Elizondo; Ezequiel López-Rubio; Esteban J. Palomo (IJCNN, 2011)

Visualisation of network forensics traffic data with a self-organising map for qualitative features. - Esteban J. Palomo; John North; David A. Elizondo; Rafael Marcos Luque; Tim Watson (IJCNN, 2011)

Feature Weighting in Competitive Learning for Multiple Object Tracking in Video Sequences. - Rafael Marcos Luque; Juan Miguel Ortiz-de-Lazcano-Lobato; Ezequiel López-Rubio; Enrique Domínguez; Esteban J. Palomo (IWANN (2), 2011)

Lossy Image Compression Using a GHSOM. - Esteban J. Palomo; Enrique Domínguez; Rafael Marcos Luque; José Muñoz (IWANN (2), 2011)

Stochastic approximation for background modelling. - Ezequiel López-Rubio; Rafael Marcos Luque Baena (Comput. Vis. Image Underst., 2011)

Foreground Detection in Video Sequences with Probabilistic Self-Organizing Maps. - Ezequiel López-Rubio; Rafael Marcos Luque Baena; Enrique Domínguez (Int. J. Neural Syst., 2011)

NeuralSens: A neural network based framework to allow dynamic adaptation in wireless sensor and actor networks. - Eduardo Cañete; Jaime Chen; Rafael Marcos Luque; Bartolomé Rubio (J. Netw. Comput. Appl., 2012)

Application of growing hierarchical SOM for visualisation of network forensics traffic data. - Esteban J. Palomo; John North; David A. Elizondo; Rafael Marcos Luque; Tim Watson (Neural Networks, 2012)

Feature Selection of Hand Biometrical Traits Based on Computational Intelligence Techniques. - Rafael Marcos Luque; David A. Elizondo; Ezequiel López-Rubio; Esteban J. Palomo (Computational Intelligence for Privacy and Security, 2012)

SOM-Based Techniques towards Hierarchical Visualisation of Network Forensics Traffic Data. - Esteban J. Palomo; David A. Elizondo; Enrique Domínguez; Rafael Marcos Luque; Tim Watson (Computational Intelligence for Privacy and Security, 2012)

A Self-organizing Map for Traffic Flow Monitoring. - Rafael Marcos Luque Baena; Ezequiel López-Rubio; Enrique Domínguez; Esteban José Palomo; José Manuel Jerez (IWANN (2), 2013)

Computer-Aided Diagnosis in Wound Images with Neural Networks. - María Navas; Rafael M. Luque-Baena; Laura Morente; David Coronado; Rafael Rodríguez; Francisco J. Veredas 001 (IWANN (2), 2013)

Hierarchical Self-Organizing Networks for Multispectral Data Visualization. - Esteban José Palomo; Ezequiel López-Rubio; Enrique Domínguez; Rafael Marcos Luque Baena (IWANN (2), 2013)

Committee C-Mantec: A Probabilistic Constructive Neural Network. - José Luis Subirats; Rafael Marcos Luque Baena; Daniel Urda; Francisco Ortega-Zamorano; José Manuel Jerez; Leonardo Franco (IWANN (1), 2013)

A Constructive Neural Network to Predict Pitting Corrosion Status of Stainless Steel. - Daniel Urda; Rafael Marcos Luque; María Jesús Jiménez-Come; Ignacio Turias Domínguez; Leonardo Franco; José Manuel Jerez (IWANN (1), 2013)

Analysis of Cancer Microarray Data using Constructive Neural Networks and Genetic Algorithms. - Rafael Marcos Luque Baena; Daniel Urda; José Luis Subirats; Leonardo Franco; José M. Jerez (IWBBIO, 2013)

Assessment of geometric features for individual identification and verification in biometric hand systems. - Rafael M. Luque-Baena; David A. Elizondo; Ezequiel López-Rubio; Esteban J. Palomo; Tim Watson (Expert Syst. Appl., 2013)

A Competitive Neural Network for Multiple Object Tracking in Video Sequence Analysis. - Rafael Marcos Luque Baena; Juan Miguel Ortiz-de-Lazcano-Lobato; Ezequiel López-Rubio; Enrique Domínguez; Esteban J. Palomo (Neural Process. Lett., 2013)

Image Compression and Video Segmentation Using Hierarchical Self-Organization. - Esteban J. Palomo; Enrique Domínguez; Rafael M. Luque-Baena; José Muñoz (Neural Process. Lett., 2013)

Saving energy in WSNs with beamforming. - Juan F. Valenzuela-Valdés; Francisco Luna-Valero; Rafael Marcos Luque Baena; Pablo Padilla (CloudNet, 2014)

Color space selection for self-organizing map based foreground detection in video sequences. - Francisco Javier López-Rubio; Ezequiel López-Rubio; Rafael Marcos Luque Baena; Enrique Domínguez; Esteban J. Palomo (IJCNN, 2014)

Robust gene signatures from microarray data using genetic algorithms enriched with biological pathway keywords. - Rafael Marcos Luque Baena; Daniel Urda; M. Gonzalo Claros; Leonardo Franco; José M. Jerez (J. Biomed. Informatics, 2014)

An adaptive system for compressed video deblocking. - Ezequiel López-Rubio; Rafael Marcos Luque Baena (Signal Process., 2014)

Visualization of Complex Datasets with the Self-Organizing Spanning Tree. - Ezequiel López-Rubio; Esteban José Palomo; Rafael Marcos Luque Baena; Enrique Domínguez (IWANN (1), 2015)

Computational Intelligence Techniques in Medicine. - Ezequiel López-Rubio; David A. Elizondo; Martin Grootveld; José M. Jerez; Rafael M. Luque-Baena (Comput. Math. Methods Medicine, 2015)

Wound image evaluation with machine learning. - Francisco J. Veredas 001; Rafael M. Luque-Baena; Francisco J. Martín-Santos; Juan C. Morilla-Herrera; Laura Morente (Neurocomputing, 2015)

A self-organizing map to improve vehicle detection in flow monitoring systems. - Rafael Marcos Luque Baena; Ezequiel López-Rubio; Enrique Domínguez; Esteban J. Palomo; José M. Jerez (Soft Comput., 2015)

Frame Size Reduction for Foreground Detection in Video Sequences. - Miguel A. Molina-Cabello; Ezequiel López-Rubio; Rafael Marcos Luque Baena; Esteban J. Palomo; Enrique Domínguez (CAEPIA, 2016)

Pixel Features for Self-organizing Map Based Detection of Foreground Objects in Dynamic Environments. - Miguel A. Molina-Cabello; Ezequiel López-Rubio; Rafael Marcos Luque Baena; Enrique Domínguez; Esteban J. Palomo (SOCO-CISIS-ICEUTE, 2016)

Selecting the Color Space for Self-Organizing Map Based Foreground Detection in Video. - Francisco Javier López-Rubio; Enrique Domínguez; Esteban J. Palomo; Ezequiel López-Rubio; Rafael Marcos Luque Baena (Neural Process. Lett., 2016)

Analysis of beamforming for improving the energy efficiency in wireless sensor networks with metaheuristics. - Juan Enrique Agudo; Juan F. Valenzuela-Valdés; Francisco Luna-Valero; Rafael Marcos Luque Baena; Pablo Padilla (Prog. Artif. Intell., 2016)

Clustering and Beamforming for Efficient Communication in Wireless Sensor Networks. - Francisco Porcel-Rodríguez; Juan F. Valenzuela-Valdés; Pablo Padilla; Francisco Luna-Valero; Rafael M. Luque-Baena; Miguel Angel Lopez-Gordo (Sensors, 2016)

Efficient Implementation of the Backpropagation Algorithm in FPGAs and Microcontrollers. - Francisco Ortega-Zamorano; José M. Jerez; Daniel Urda; Rafael M. Luque-Baena; Leonardo Franco (IEEE Trans. Neural Networks Learn. Syst., 2016)

Neural controller for PTZ cameras based on nonpanoramic foreground detection. - Miguel A. Molina-Cabello; Ezequiel López-Rubio; Rafael Marcos Luque Baena; Enrique Domínguez; Karl Thurnhofer-Hemsi (IJCNN, 2017)

Panoramic background modeling for PTZ cameras with competitive learning neural networks. - Karl Thurnhofer-Hemsi; Ezequiel López-Rubio; Enrique Domínguez; Rafael Marcos Luque Baena; Miguel A. Molina-Cabello (IJCNN, 2017)

Machine learning models to search relevant genetic signatures in clinical context. - Daniel Urda; Rafael Marcos Luque Baena; Leonardo Franco; José M. Jerez; Noelia Sánchez-Maroño (IJCNN, 2017)

Vehicle Classification in Traffic Environments Using the Growing Neural Gas. - Miguel A. Molina-Cabello; Rafael Marcos Luque Baena; Ezequiel López-Rubio; Juan Miguel Ortiz-de-Lazcano-Lobato; Enrique Domínguez; José Muñoz-Pérez (IWANN (2), 2017)

Vehicle Type Detection by Convolutional Neural Networks. - Miguel A. Molina-Cabello; Rafael Marcos Luque Baena; Ezequiel López-Rubio; Karl Thurnhofer-Hemsi (IWINAC (2), 2017)

A Growing Neural Gas Approach to Classify Vehicles in Traffic Environments. - Miguel A. Molina-Cabello; Rafael M. Luque-Baena; Ezequiel López-Rubio; Juan Miguel Ortiz-de-Lazcano-Lobato; Enrique Domínguez (Int. J. Comput. Vis. Image Process., 2017)

Dynamic tree topology learning by self-organization. - Ezequiel López-Rubio; Rafael M. Luque-Baena; Esteban J. Palomo; Enrique Domínguez (Neural Comput. Appl., 2017)

Addressing the 5G Cell Switch-off Problem with a Multi-objective Cellular Genetic Algorithm. - Francisco Luna 001; Rafael M. Luque-Baena; Jesus Martinez; Juan F. Valenzuela-Valdés; Pablo Padilla (5G World Forum, 2018)

Background Modeling for Video Sequences by Stacked Denoising Autoencoders. - Jorge García-González; Juan Miguel Ortiz-de-Lazcano-Lobato; Rafael M. Luque-Baena; Miguel A. Molina-Cabello; Ezequiel López-Rubio (CAEPIA, 2018)

Road Pollution Estimation Using Static Cameras And Neural Networks. - Miguel A. Molina-Cabello; Rafael Marcos Luque Baena; Ezequiel López-Rubio; Lipika Deka; Karl Thurnhofer-Hemsi (IJCNN, 2018)

A New Self-Organizing Neural Gas Model based on Bregman Divergences. - Esteban J. Palomo; Miguel A. Molina-Cabello; Ezequiel López-Rubio; Rafael Marcos Luque Baena (IJCNN, 2018)

Foreground Detection Enhancement Using Pearson Correlation Filtering. - Rafael Marcos Luque Baena; Miguel A. Molina-Cabello; Ezequiel López-Rubio; Enrique Domínguez (IPMU (3), 2018)

Blood Cell Classification Using the Hough Transform and Convolutional Neural Networks. - Miguel A. Molina-Cabello; Ezequiel López-Rubio; Rafael M. Luque-Baena; María Jesús Rodríguez-Espinosa; Karl Thurnhofer-Hemsi (WorldCIST (2), 2018)

The effect of noise on foreground detection algorithms. - Francisco Javier López-Rubio; Ezequiel López-Rubio; Miguel A. Molina-Cabello; Rafael Marcos Luque Baena; Esteban J. Palomo; Enrique Domínguez (Artif. Intell. Rev., 2018)

Panorama construction for PTZ camera surveillance with the neural gas network. - Karl Thurnhofer-Hemsi; Ezequiel López-Rubio; Enrique Domínguez; Rafael Marcos Luque Baena; Miguel A. Molina-Cabello (Expert Syst. J. Knowl. Eng., 2018)

Vehicle type detection by ensembles of convolutional neural networks operating on super resolved images. - Miguel A. Molina-Cabello; Rafael Marcos Luque Baena; Ezequiel López-Rubio; Karl Thurnhofer-Hemsi (Integr. Comput. Aided Eng., 2018)

Foreground object detection for video surveillance by fuzzy logic based estimation of pixel illumination states. - Miguel A. Molina-Cabello; Ezequiel López-Rubio; Rafael M. Luque-Baena; Enrique Domínguez; Esteban J. Palomo (Log. J. IGPL, 2018)

Foreground Detection by Competitive Learning for Varying Input Distributions. - Ezequiel López-Rubio; Miguel A. Molina-Cabello; Rafael Marcos Luque Baena; Enrique Domínguez (Int. J. Neural Syst., 2018)

Fuzzy techniques for IPO underpricing prediction. - David Quintana; Francisco Chávez 001; Rafael Marcos Luque Baena; Francisco Luna 001 (J. Intell. Fuzzy Syst., 2018)

Study and classification of plum varieties using image analysis and deep learning techniques. - Francisco J. Rodríguez 003; Antonio García; Pedro J. Pardo; Francisco Chávez 001; Rafael M. Luque-Baena (Prog. Artif. Intell., 2018)

Background Modeling by Shifted Tilings of Stacked Denoising Autoencoders. - Jorge García-González; Juan Miguel Ortiz-de-Lazcano-Lobato; Rafael M. Luque-Baena; Ezequiel López-Rubio (IWINAC (2), 2019)

Securing and Greening Wireless Sensor Networks with Beamforming. - Juan F. Valenzuela-Valdés; Francisco Luna 001; Pablo Padilla; José Luis Padilla; Rafael Marcos Luque; Juan Enrique Agudo (Mob. Networks Appl., 2019)

Foreground detection by probabilistic modeling of the features discovered by stacked denoising autoencoders in noisy video sequences. - Jorge García-González; Juan Miguel Ortiz-de-Lazcano-Lobato; Rafael M. Luque-Baena; Miguel A. Molina-Cabello; Ezequiel López-Rubio (Pattern Recognit. Lett., 2019)

Foreground Detection by Probabilistic Mixture Models Using Semantic Information from Deep Networks. - Jorge García-González; Juan Miguel Ortiz-de-Lazcano-Lobato; Rafael M. Luque-Baena; Ezequiel López-Rubio (ECAI, 2020)

Deep Autoencoder Architectures For Foreground Object Detection In Video Sequences Based On Probabilistic Mixture Models. - Jorge García-González; Miguel A. Molina-Cabello; Rafael M. Luque-Baena; Juan Miguel Ortiz-de-Lazcano-Lobato; Ezequiel López-Rubio (ICIP, 2020)

Adaptive estimation of optimal color transformations for deep convolutional network based homography estimation. - Miguel A. Molina-Cabello; Jorge García-González; Rafael Marcos Luque Baena; Karl Thurnhofer-Hemsi; Ezequiel López-Rubio (ICPR, 2020)

Performance of Deep Learning and Traditional Techniques in Single Image Super-Resolution of Noisy Images. - Karl Thurnhofer-Hemsi; Guillermo Ruiz-Álvarez; Rafael Marcos Luque Baena; Miguel A. Molina-Cabello; Ezequiel López-Rubio (ICPR Workshops (6), 2020)

Aggregation of Convolutional Neural Network Estimations of Homographies by Color Transformations of the Inputs. - Miguel A. Molina-Cabello; David A. Elizondo; Rafael Marcos Luque Baena; Ezequiel López-Rubio (IEEE Access, 2020)

The effect of downsampling-upsampling strategy on foreground detection algorithms. - Miguel A. Molina-Cabello; Jorge García-González; Rafael M. Luque-Baena; Ezequiel López-Rubio (Artif. Intell. Rev., 2020)

Foreground detection by ensembles of random polygonal tilings. - Miguel A. Molina-Cabello; David A. Elizondo; Rafael M. Luque-Baena; Ezequiel López-Rubio (Expert Syst. Appl., 2020)

Background subtraction by probabilistic modeling of patch features learned by deep autoencoders. - Jorge García-González; Juan Miguel Ortiz-de-Lazcano-Lobato; Rafael M. Luque-Baena; Ezequiel López-Rubio (Integr. Comput. Aided Eng., 2020)

Deep learning-based super-resolution of 3D magnetic resonance images by regularly spaced shifting. - Karl Thurnhofer-Hemsi; Ezequiel López-Rubio; Enrique Domínguez; Rafael Marcos Luque Baena; Núria Roé-Vellvé (Neurocomputing, 2020)

Foreground Segmentation Improvement by Image Denoising Preprocessing Applied to Noisy Video Sequences. - Jorge García-González; Juan Miguel Ortiz-de-Lazcano-Lobato; Rafael Marcos Luque Baena; Ezequiel López-Rubio (SOCO, 2021)

Road pollution estimation from vehicle tracking in surveillance videos by deep convolutional neural networks. - Jorge García-González; Miguel A. Molina-Cabello; Rafael M. Luque-Baena; Juan Miguel Ortiz-de-Lazcano-Lobato; Ezequiel López-Rubio (Appl. Soft Comput., 2021)

Improved detection of small objects in road network sequences. - Iván García; Rafael Marcos Luque; Ezequiel López-Rubio (CoRR, 2021)

Anomalous object detection by active search with PTZ cameras. - Ezequiel López-Rubio; Miguel A. Molina-Cabello; Francisco M. Castro; Rafael M. Luque-Baena; Manuel J. Marín-Jiménez; Nicolás Guil (Expert Syst. Appl., 2021)

Moving Object Detection in Noisy Video Sequences Using Deep Convolutional Disentangled Representations. - Jorge García-González; Rafael M. Luque-Baena; Juan Miguel Ortiz-de-Lazcano-Lobato; Ezequiel López-Rubio (ICIP, 2022)

Enhanced Image Segmentation by a Novel Test Time Augmentation and Super-Resolution. - Iván García Aguilar; Jorge García-González; Rafael Marcos Luque Baena; Ezequiel López-Rubio; Enrique Domínguez Merino (IWINAC (1), 2022)

Analysis of Functional Connectome Pipelines for the Diagnosis of Autism Spectrum Disorders. - Clara Jiménez-Valverde; Rosa Maza-Quiroga; Domingo López-Rodríguez; Karl Thurnhofer-Hemsi; Ezequiel López-Rubio; Rafael Marcos Luque Baena (IWINAC (1), 2022)

Stenosis detection in coronary angiography images using deep learning models. - Rafael M. Luque-Baena; Irene Romero Granados; Ariadna Jiménez-Partinen; Esteban J. Palomo; Manuel Jiménez-Navarro (MetroXRAINE, 2022)

Pneumonia Detection in Chest X-ray Images using Convolutional Neural Networks. - Esteban J. Palomo; Miguel A. Zafra-Santisteban; Rafael M. Luque-Baena (MetroXRAINE, 2022)

Vehicle Overtaking Hazard Detection over Onboard Cameras Using Deep Convolutional Networks. - Jorge García-González; Iván García Aguilar; Daniel Medina; Rafael Marcos Luque Baena; Ezequiel López-Rubio; Enrique Domínguez (SOCO, 2022)

Improved detection of small objects in road network sequences using CNN and super resolution. - Iván García Aguilar; Rafael Marcos Luque Baena; Ezequiel López-Rubio (Expert Syst. J. Knowl. Eng., 2022)

Minimal Optimal Region Generation for Enhanced Object Detection in Aerial Images Using Super-Resolution and Convolutional Neural Networks. - Iván García Aguilar; Lipika Deka; Rafael Marcos Luque Baena; Enrique Domínguez; Ezequiel López-Rubio (IWANN (1), 2023)

Optimized instance segmentation by super-resolution and maximal clique generation. - Iván García Aguilar; Jorge García-González; Rafael M. Luque-Baena; Ezequiel López-Rubio; Enrique Domínguez (Integr. Comput. Aided Eng., 2023)

Automated labeling of training data for improved object detection in traffic videos by fine-tuned deep convolutional neural networks. - Iván García Aguilar; Jorge García-González; Rafael Marcos Luque Baena; Ezequiel López-Rubio (Pattern Recognit. Lett., 2023)

Small-Scale Urban Object Anomaly Detection Using Convolutional Neural Networks with Probability Estimation. - Iván García Aguilar; Rafael Marcos Luque Baena; Enrique Domínguez; Ezequiel López-Rubio (Sensors, 2023)

Object detection in traffic videos: an optimized approach using super-resolution and maximal clique algorithm. - Iván García Aguilar; Jorge García-González; Rafael Marcos Luque Baena; Ezequiel López-Rubio (Neural Comput. Appl., 2023)

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)

Enhancing Object Segmentation via Few-Shot Learning with Limited Annotated Data. - Iván García Aguilar; Syed Ali Haider Jafri; David A. Elizondo; Saúl Calderón Ramírez; Sarah Greenfield; Rafael M. Luque-Baena (SOCO (2), 2024)

Detection of dangerously approaching vehicles over onboard cameras by speed estimation from apparent size. - Iván García Aguilar; Jorge García-González; Daniel Medina; Rafael Marcos Luque Baena; Enrique Domínguez; Ezequiel López-Rubio (Neurocomputing, 2024)

Enhancing Histopathological Image Classification Performance through Synthetic Data Generation with Generative Adversarial Networks. - Jose L. Ruiz-Casado; Miguel A. Molina-Cabello; Rafael M. Luque-Baena (Sensors, 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)

Improving 5 G base station placement through precise rooftop detection using super-resolution diffusion models and satellite image analysis. - Iván García Aguilar; Jesús Galeano-Brajones; Francisco Luna-Valero; Javier Carmona-Murillo; José David Fernández-Rodríguez; Rafael M. Luque-Baena (Nat. Comput., 2025)