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)

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)

Image compression based on growing hierarchical Self-Organizing Maps. - Esteban J. Palomo; Enrique Domínguez (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)

Dynamic topology learning with the probabilistic self-organizing graph. - Ezequiel López-Rubio; Esteban José Palomo-Ferrer; Juan Miguel Ortiz-de-Lazcano-Lobato; María del Carmen Vargas-González (Neurocomputing, 2011)

Growing Hierarchical Probabilistic Self-Organizing Graphs. - Ezequiel López-Rubio; Esteban J. Palomo (IEEE Trans. Neural Networks, 2011)

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)

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

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)

Bregman Divergences for Growing Hierarchical Self-Organizing Networks. - Ezequiel López-Rubio; Esteban José Palomo; Enrique Domínguez (Int. J. Neural Syst., 2014)

Hierarchical Color Quantization Based on Self-organization. - Esteban J. Palomo; Enrique Domínguez (J. Math. Imaging Vis., 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)

Robust self-organization with M-estimators. - Ezequiel López-Rubio; Esteban J. Palomo; Enrique Domínguez (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)

Extended abstract: A color quantization approach based on the Growing Neural Forest. - Esteban J. Palomo; Ezequiel López-Rubio (LA-CCI, 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)

Smart motion detection sensor based on video processing using self-organizing maps. - Francisco Ortega-Zamorano; Miguel A. Molina-Cabello; Ezequiel López-Rubio; Esteban J. Palomo (Expert Syst. Appl., 2016)

Learning Topologies with the Growing Neural Forest. - Esteban José Palomo; Ezequiel López-Rubio (Int. J. Neural Syst., 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)

Unsupervised Color Quantization with the Growing Neural Forest. - Esteban José Palomo; Jesús Benito-Picazo; Ezequiel López-Rubio; Enrique Domínguez (IWANN (2), 2017)

Motion Detection by Microcontroller for Panning Cameras. - Jesús Benito-Picazo; Ezequiel López-Rubio; Juan Miguel Ortiz-de-Lazcano-Lobato; Enrique Domínguez; Esteban J. Palomo (IWINAC (2), 2017)

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

The Growing Hierarchical Neural Gas Self-Organizing Neural Network. - Esteban J. Palomo; Ezequiel López-Rubio (IEEE Trans. Neural Networks Learn. Syst., 2017)

Deep learning-based anomalous object detection system powered by microcontroller for PTZ cameras. - Jesús Benito-Picazo; Enrique Domínguez; Esteban J. Palomo; Ezequiel López-Rubio; Juan Miguel Ortiz-de-Lazcano-Lobato (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)

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)

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)

Unsupervised learning by cluster quality optimization. - Ezequiel López-Rubio; Esteban J. Palomo; Francisco Ortega-Zamorano (Inf. Sci., 2018)

Deep Learning-Based Security System Powered by Low Cost Hardware and Panoramic Cameras. - Jesús Benito-Picazo; Enrique Domínguez; Esteban J. Palomo; Ezequiel López-Rubio (IWINAC (2), 2019)

Use of an ANN to Value MTF and Melatonin Effect on ADHD Affected Children. - Antonio Muñoz 001; Esteban J. Palomo; Antonio Jerez-Calero (IEEE Access, 2019)

Motion detection with low cost hardware for PTZ cameras. - Jesús Benito-Picazo; Enrique Domínguez; Esteban J. Palomo; Ezequiel López-Rubio; Juan Miguel Ortiz-de-Lazcano-Lobato (Integr. Comput. Aided Eng., 2019)

Image Clustering Using a Growing Neural Gas with Forbidden Regions. - Jesús Benito-Picazo; Esteban J. Palomo; Enrique Domínguez; Antonio Díaz Ramos (IJCNN, 2020)

Deep learning-based video surveillance system managed by low cost hardware and panoramic cameras. - Jesús Benito-Picazo; Enrique Domínguez; Esteban J. Palomo; Ezequiel López-Rubio (Integr. Comput. Aided Eng., 2020)

Exploratory Data Analysis and Foreground Detection with the Growing Hierarchical Neural Forest. - Esteban J. Palomo; Ezequiel López-Rubio; Francisco Ortega-Zamorano; Rafaela Benítez-Rochel (Neural Process. Lett., 2020)

The Forbidden Region Self-Organizing Map Neural Network. - Antonio Díaz Ramos; Ezequiel López-Rubio; Esteban J. Palomo (IEEE Trans. Neural Networks Learn. Syst., 2020)

Longitudinal Study of the Learning Styles Evolution in Engineering Degrees. - Miguel A. Molina-Cabello; Karl Thurnhofer-Hemsi; Enrique Domínguez; Ezequiel López-Rubio; Esteban J. Palomo (CISIS-ICEUTE, 2021)

Peer Assessments in Engineering: A Pilot Project. - Karl Thurnhofer-Hemsi; Miguel A. Molina-Cabello; Esteban J. Palomo; Ezequiel López-Rubio; Enrique Domínguez (CISIS-ICEUTE, 2021)

Deep learning-based anomalous object detection system for panoramic cameras managed by a Jetson TX2 board. - Jesús Benito-Picazo; Enrique Domínguez; Esteban J. Palomo; Gonzalo Ramos-Jiménez; Ezequiel López-Rubio (IJCNN, 2021)

Hierarchical Color Quantization with a Neural Gas Model Based on Bregman Divergences. - Esteban J. Palomo; Jesús Benito-Picazo; Enrique Domínguez; Ezequiel López-Rubio; Francisco Ortega-Zamorano (SOCO, 2021)

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)

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)

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)

Are learning styles useful? A new software to analyze correlations with grades and a case study in engineering. - Miguel A. Molina-Cabello; Karl Thurnhofer-Hemsi; David Molina-Cabello; Esteban J. Palomo (Comput. Appl. Eng. Educ., 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)

Deep Learning-Based Classification of Invasive Coronary Angiographies with Different Patch-Generation Techniques. - Ariadna Jiménez-Partinen; Esteban J. Palomo; Karl Thurnhofer-Hemsi; Jorge Rodríguez-Capitán; Ana I. Molina-Ramos (IWINAC (2), 2024)

Coronary Artery Disease Classification With Different Lesion Degree Ranges Based on Deep Learning. - Ariadna Jiménez-Partinen; Karl Thurnhofer-Hemsi; Jorge Rodríguez-Capitán; Ana I. Molina-Ramos; Esteban J. Palomo (IEEE Access, 2024)

CADICA: A new dataset for coronary artery disease detection by using invasive coronary angiography. - Ariadna Jiménez-Partinen; Miguel A. Molina-Cabello; Karl Thurnhofer-Hemsi; Esteban J. Palomo; Jorge Rodríguez-Capitán; Ana I. Molina-Ramos; Manuel Jiménez-Navarro (Expert Syst. J. Knowl. Eng., 2024)

Hyperparameter optimization of YOLO models for invasive coronary angiography lesion detection and assessment. - Mario Pascual-González; Ariadna Jiménez-Partinen; Esteban J. Palomo; Ezequiel López-Rubio; Almudena Ortega-Gómez (Comput. Biol. Medicine, 2025)