Esteban J. Palomo

72 papers B 11C 2Misc 1Journal 28Unranked 28
YearRankTypeTitle / Venue / Authors
2026 J jnl
Preprocessing strategies and their influence on deep learning-driven MRI segmentation.
Pattern Recognit. Lett.
Ariadna Jiménez-Partinen, Ezequiel López-Rubio, Fátima Nagib-Raya, Esteban J. Palomo, Rafael M. Luque-Baena
2025 J jnl
Hyperparameter optimization of YOLO models for invasive coronary angiography lesion detection and assessment.
Comput. Biol. Medicine
Mario Pascual-González, Ariadna Jiménez-Partinen, Esteban J. Palomo, Ezequiel López-Rubio, Almudena Ortega-Gómez
2024 J jnl
CADICA: A new dataset for coronary artery disease detection by using invasive coronary angiography.
Expert Syst. J. Knowl. Eng.
Ariadna Jiménez-Partinen, Miguel A. Molina-Cabello, Karl Thurnhofer-Hemsi, Esteban J. Palomo, Jorge Rodríguez-Capitán, Ana I. Molina-Ramos, Manuel Jiménez-Navarro
2024 J jnl
CADICA: a new dataset for coronary artery disease detection by using invasive coronary angiography.
CoRR
Ariadna Jiménez-Partinen, Miguel A. Molina-Cabello, Karl Thurnhofer-Hemsi, Esteban J. Palomo, Jorge Rodríguez-Capitán, Ana I. Molina-Ramos, Manuel Jiménez-Navarro
2024 J jnl
Coronary Artery Disease Classification With Different Lesion Degree Ranges Based on Deep Learning.
IEEE Access
Ariadna Jiménez-Partinen, Karl Thurnhofer-Hemsi, Jorge Rodríguez-Capitán, Ana I. Molina-Ramos, Esteban J. Palomo
2024 J jnl
Coronary Artery Disease Classification with Different Lesion Degree Ranges based on Deep Learning.
CoRR
Ariadna Jiménez-Partinen, Karl Thurnhofer-Hemsi, Esteban J. Palomo, Jorge Rodríguez-Capitán, Ana I. Molina-Ramos
2024 — conf
Deep Learning-Based Classification of Invasive Coronary Angiographies with Different Patch-Generation Techniques.
IWINAC (2)
Ariadna Jiménez-Partinen, Esteban J. Palomo, Karl Thurnhofer-Hemsi, Jorge Rodríguez-Capitán, Ana I. Molina-Ramos
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
Are learning styles useful? A new software to analyze correlations with grades and a case study in engineering.
Comput. Appl. Eng. Educ.
Miguel A. Molina-Cabello, Karl Thurnhofer-Hemsi, David Molina-Cabello, Esteban J. Palomo
2023 — conf
Parallel Processing Applied to Object Detection with a Jetson TX2 Embedded System.
SOCO (2)
Jesús Benito-Picazo, Jose David Fernández Rodriguez, Enrique Domínguez, Esteban J. Palomo, 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
2022 — conf
Pneumonia Detection in Chest X-ray Images using Convolutional Neural Networks.
MetroXRAINE
Esteban J. Palomo, Miguel A. Zafra-Santisteban, Rafael M. Luque-Baena
2022 — conf
Stenosis detection in coronary angiography images using deep learning models.
MetroXRAINE
Rafael M. Luque-Baena, Irene Romero Granados, Ariadna Jiménez-Partinen, Esteban J. Palomo, Manuel Jiménez-Navarro
2021 B conf
Deep learning-based anomalous object detection system for panoramic cameras managed by a Jetson TX2 board.
IJCNN
Jesús Benito-Picazo, Enrique Domínguez, Esteban J. Palomo, Gonzalo Ramos-Jiménez, Ezequiel López-Rubio
2021 — conf
Hierarchical Color Quantization with a Neural Gas Model Based on Bregman Divergences.
SOCO
Esteban J. Palomo, Jesús Benito-Picazo, Enrique Domínguez, Ezequiel López-Rubio, Francisco Ortega-Zamorano
2021 — conf
Longitudinal Study of the Learning Styles Evolution in Engineering Degrees.
CISIS-ICEUTE
Miguel A. Molina-Cabello, Karl Thurnhofer-Hemsi, Enrique Domínguez, Ezequiel López-Rubio, Esteban J. Palomo
2021 — conf
Peer Assessments in Engineering: A Pilot Project.
CISIS-ICEUTE
Karl Thurnhofer-Hemsi, Miguel A. Molina-Cabello, Esteban J. Palomo, Ezequiel López-Rubio, Enrique Domínguez
2020 J jnl
Deep learning-based video surveillance system managed by low cost hardware and panoramic cameras.
Integr. Comput. Aided Eng.
Jesús Benito-Picazo, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio
2020 J jnl
Exploratory Data Analysis and Foreground Detection with the Growing Hierarchical Neural Forest.
Neural Process. Lett.
Esteban J. Palomo, Ezequiel López-Rubio, Francisco Ortega-Zamorano, Rafaela Benítez-Rochel
2020 B conf
Image Clustering Using a Growing Neural Gas with Forbidden Regions.
IJCNN
Jesús Benito-Picazo, Esteban J. Palomo, Enrique Domínguez, Antonio Díaz Ramos
2020 J jnl
The Forbidden Region Self-Organizing Map Neural Network.
IEEE Trans. Neural Networks Learn. Syst.
Antonio Díaz Ramos, Ezequiel López-Rubio, Esteban J. Palomo
2019 — conf
Deep Learning-Based Security System Powered by Low Cost Hardware and Panoramic Cameras.
IWINAC (2)
Jesús Benito-Picazo, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio
2019 J jnl
Motion detection with low cost hardware for PTZ cameras.
Integr. Comput. Aided Eng.
Jesús Benito-Picazo, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato
2019 J jnl
Use of an ANN to Value MTF and Melatonin Effect on ADHD Affected Children.
IEEE Access
Antonio Muñoz, Esteban J. Palomo, Antonio Jerez-Calero
2018 B conf
A New Self-Organizing Neural Gas Model based on Bregman Divergences.
IJCNN
Esteban J. Palomo, Miguel A. Molina-Cabello, Ezequiel López-Rubio, Rafael Marcos Luque Baena
2018 B conf
Deep learning-based anomalous object detection system powered by microcontroller for PTZ cameras.
IJCNN
Jesús Benito-Picazo, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato
2018 J jnl
Foreground object detection for video surveillance by fuzzy logic based estimation of pixel illumination states.
Log. J. IGPL
Miguel A. Molina-Cabello, Ezequiel López-Rubio, Rafael M. Luque-Baena, Enrique Domínguez, Esteban J. Palomo
2018 J jnl
The effect of noise on foreground detection algorithms.
Artif. Intell. Rev.
Francisco Javier López-Rubio, Ezequiel López-Rubio, Miguel A. Molina-Cabello, Rafael Marcos Luque Baena, Esteban J. Palomo, Enrique Domínguez
2018 J jnl
Unsupervised learning by cluster quality optimization.
Inf. Sci.
Ezequiel López-Rubio, Esteban J. Palomo, Francisco Ortega-Zamorano
2017 J jnl
Dynamic tree topology learning by self-organization.
Neural Comput. Appl.
Ezequiel López-Rubio, Rafael M. Luque-Baena, Esteban J. Palomo, Enrique Domínguez
2017 — conf
Motion Detection by Microcontroller for Panning Cameras.
IWINAC (2)
Jesús Benito-Picazo, Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Enrique Domínguez, Esteban J. Palomo
2017 J jnl
The Growing Hierarchical Neural Gas Self-Organizing Neural Network.
IEEE Trans. Neural Networks Learn. Syst.
Esteban J. Palomo, Ezequiel López-Rubio
2016 — conf
Extended abstract: A color quantization approach based on the Growing Neural Forest.
LA-CCI
Esteban J. Palomo, Ezequiel López-Rubio
2016 — conf
Frame Size Reduction for Foreground Detection in Video Sequences.
CAEPIA
Miguel A. Molina-Cabello, Ezequiel López-Rubio, Rafael Marcos Luque Baena, Esteban J. Palomo, Enrique Domínguez
2016 — conf
Pixel Features for Self-organizing Map Based Detection of Foreground Objects in Dynamic Environments.
SOCO-CISIS-ICEUTE
Miguel A. Molina-Cabello, Ezequiel López-Rubio, Rafael Marcos Luque Baena, Enrique Domínguez, Esteban J. Palomo
2016 J jnl
Selecting the Color Space for Self-Organizing Map Based Foreground Detection in Video.
Neural Process. Lett.
Francisco Javier López-Rubio, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio, Rafael Marcos Luque Baena
2016 J jnl
Smart motion detection sensor based on video processing using self-organizing maps.
Expert Syst. Appl.
Francisco Ortega-Zamorano, Miguel A. Molina-Cabello, Ezequiel López-Rubio, Esteban J. Palomo
2015 J jnl
A self-organizing map to improve vehicle detection in flow monitoring systems.
Soft Comput.
Rafael Marcos Luque Baena, Ezequiel López-Rubio, Enrique Domínguez, Esteban J. Palomo, José M. Jerez
2015 J jnl
Robust self-organization with M-estimators.
Neurocomputing
Ezequiel López-Rubio, Esteban J. Palomo, Enrique Domínguez
2014 B conf
Color space selection for self-organizing map based foreground detection in video sequences.
IJCNN
Francisco Javier López-Rubio, Ezequiel López-Rubio, Rafael Marcos Luque Baena, Enrique Domínguez, Esteban J. Palomo
2014 J jnl
Hierarchical Color Quantization Based on Self-organization.
J. Math. Imaging Vis.
Esteban J. Palomo, Enrique Domínguez
2013 J jnl
A Competitive Neural Network for Multiple Object Tracking in Video Sequence Analysis.
Neural Process. Lett.
Rafael Marcos Luque Baena, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio, Enrique Domínguez, Esteban J. Palomo
2013 J jnl
Assessment of geometric features for individual identification and verification in biometric hand systems.
Expert Syst. Appl.
Rafael M. Luque-Baena, David A. Elizondo, Ezequiel López-Rubio, Esteban J. Palomo, Tim Watson
2013 J jnl
Image Compression and Video Segmentation Using Hierarchical Self-Organization.
Neural Process. Lett.
Esteban J. Palomo, Enrique Domínguez, Rafael M. Luque-Baena, José Muñoz
2012 J jnl
Application of growing hierarchical SOM for visualisation of network forensics traffic data.
Neural Networks
Esteban J. Palomo, John North, David A. Elizondo, Rafael Marcos Luque, Tim Watson
2012 — ch.
Feature Selection of Hand Biometrical Traits Based on Computational Intelligence Techniques.
Computational Intelligence for Privacy and Security
Rafael Marcos Luque, David A. Elizondo, Ezequiel López-Rubio, Esteban J. Palomo
2012 — ch.
SOM-Based Techniques towards Hierarchical Visualisation of Network Forensics Traffic Data.
Computational Intelligence for Privacy and Security
Esteban J. Palomo, David A. Elizondo, Enrique Domínguez, Rafael Marcos Luque, Tim Watson
2011 — conf
Feature Weighting in Competitive Learning for Multiple Object Tracking in Video Sequences.
IWANN (2)
Rafael Marcos Luque, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio, Enrique Domínguez, Esteban J. Palomo
2011 B conf
GA-based feature selection approach in biometric hand systems.
IJCNN
Rafael Marcos Luque, David A. Elizondo, Ezequiel López-Rubio, Esteban J. Palomo
2011 J jnl
Growing Hierarchical Probabilistic Self-Organizing Graphs.
IEEE Trans. Neural Networks
Ezequiel López-Rubio, Esteban J. Palomo
2011 B conf
Image compression based on growing hierarchical Self-Organizing Maps.
IJCNN
Esteban J. Palomo, Enrique Domínguez
2011 — conf
Lossy Image Compression Using a GHSOM.
IWANN (2)
Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz
2011 B conf
Visualisation of network forensics traffic data with a self-organising map for qualitative features.
IJCNN
Esteban J. Palomo, John North, David A. Elizondo, Rafael Marcos Luque, Tim Watson
2010 B conf
An ART-type network approach for video object detection.
ESANN
Rafael Marcos Luque, Enrique Domínguez, Esteban J. Palomo, José Muñoz
2010 B conf
An anomaly detection system using a GHSOM-1.
IJCNN
Esteban J. Palomo, Juan Miguel Ortiz-de-Lazcano-Lobato, Enrique Domínguez, Rafael Marcos Luque
2010 B conf
Web Document Clustering based on a Hierarchical Self-Organizing Model.
ESANN
Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz
2009 — conf
A Neural Recognition System for Manufactured Objects.
IWANN (2)
Rafael Marcos Luque, Enrique Domínguez, Esteban J. Palomo, José Muñoz
2009 — conf
A Self-Organized Multiagent System for Intrusion Detection.
ADMI
Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz
2009 — conf
Growing Competitive Network for Tracking Objects in Video Sequences.
ICANNGA
Juan Miguel Ortiz-de-Lazcano-Lobato, Rafael Marcos Luque, Domingo López-Rodríguez, Esteban J. Palomo
2009 — conf
Hierarchical Graphs for Data Clustering.
IWANN (1)
Esteban J. Palomo, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, Rafael Marcos Luque
2009 — conf
Image Hierarchical Segmentation Based on a GHSOM.
ICONIP (1)
Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz
2009 — conf
Network Security Using Growing Hierarchical Self-Organizing Maps.
ICANNGA
Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz
2009 C conf
Object Tracking in Video Sequences by Unsupervised Learning.
CAIP
Rafael Marcos Luque, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio, Esteban J. Palomo
2009 — conf
Spam Detection Based on a Hierarchical Self-Organizing Map.
ICIC (2)
Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz
2008 — conf
A Competitive Neural Network for Intrusion Detection Systems.
MCO
Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz
2008 — conf
A Dipolar Competitive Neural Network for Video Segmentation.
IBERAMIA
Rafael Marcos Luque, Domingo López-Rodríguez, Enrique Domínguez, Esteban J. Palomo
2008 — conf
A Neighborhood-Based Competitive Network for Video Segmentation and Object Detection.
ICANN (1)
Rafael Marcos Luque Baena, Enrique Domínguez, Domingo López-Rodríguez, Esteban J. Palomo
2008 — conf
A Neural Network Approach for Video Object Segmentation in Traffic Surveillance.
ICIAR
Rafael Marcos Luque, Enrique Domínguez, Esteban J. Palomo, José Muñoz
2008 — conf
A New GHSOM Model Applied to Network Security.
ICANN (1)
Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz
2008 Misc conf
An Intrusion Detection System Based on Hierarchical Self-Organization.
CISIS
Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz
2008 — conf
Detecting Critical Situation in Public Transport.
PRIS
Rafael Marcos Luque, Francisco L. Valverde, Enrique Domínguez, Esteban J. Palomo, José Muñoz
2008 C conf
Video Object Segmentation with Multivalued Neural Networks.
HIS
Rafael Marcos Luque, Domingo López-Rodríguez, Enrique Mérida Casermeiro, Esteban J. Palomo