Esteban J. Palomo

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 34

Top Topics

Coronary Artery

Foreground Detection

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Ariadna Jiménez-Partinen, Karl Thurnhofer-Hemsi, Esteban J. Palomo, Jorge Rodríguez-Capitán, Ana I. Molina-Ramos
Coronary Artery Disease Classification with Different Lesion Degree Ranges based on Deep Learning. CoRR (2024)
Ariadna Jiménez-Partinen, Karl Thurnhofer-Hemsi, Jorge Rodríguez-Capitán, Ana I. Molina-Ramos, Esteban J. Palomo
Coronary Artery Disease Classification With Different Lesion Degree Ranges Based on Deep Learning. IEEE Access 12 (2024)
Ariadna Jiménez-Partinen, Esteban J. Palomo, Karl Thurnhofer-Hemsi, Jorge Rodríguez-Capitán, Ana I. Molina-Ramos
Deep Learning-Based Classification of Invasive Coronary Angiographies with Different Patch-Generation Techniques. IWINAC (2) (2024)
Ariadna Jiménez-Partinen, Miguel A. Molina-Cabello, Karl Thurnhofer-Hemsi, Esteban J. Palomo, Jorge Rodríguez-Capitán, Ana I. Molina-Ramos, Manuel Jiménez-Navarro
CADICA: a new dataset for coronary artery disease detection by using invasive coronary angiography. CoRR (2024)
Jesús Benito-Picazo, Jose David Fernández Rodríguez, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio
Parallel Processing Applied to Object Detection with a Jetson TX2 Embedded System. SOCO (2) (2023)
José David Fernández-Rodríguez, Esteban J. Palomo, Jesús Benito-Picazo, Enrique Domínguez, Ezequiel López-Rubio, Francisco Ortega-Zamorano
A convolutional autoencoder and a neural gas model based on Bregman divergences for hierarchical color quantization. Neurocomputing 544 (2023)
Miguel A. Molina-Cabello, Karl Thurnhofer-Hemsi, David Molina-Cabello, Esteban J. Palomo
Are learning styles useful? A new software to analyze correlations with grades and a case study in engineering. Comput. Appl. Eng. Educ. 31 (3) (2023)
Esteban J. Palomo, Miguel A. Zafra-Santisteban, Rafael M. Luque-Baena
Pneumonia Detection in Chest X-ray Images using Convolutional Neural Networks. MetroXRAINE (2022)
Esteban J. Palomo, Juan Miguel Ortiz-de-Lazcano-Lobato, José David Fernández-Rodríguez, Ezequiel López-Rubio, Rosa Maza-Quiroga
A Novel Continual Learning Approach for Competitive Neural Networks. IWINAC (1) (2022)
Rafael M. Luque-Baena, Irene Romero Granados, Ariadna Jiménez-Partinen, Esteban J. Palomo, Manuel Jiménez-Navarro
Stenosis detection in coronary angiography images using deep learning models. MetroXRAINE (2022)
Karl Thurnhofer-Hemsi, Miguel A. Molina-Cabello, Esteban J. Palomo, Ezequiel López-Rubio, Enrique Domínguez
Peer Assessments in Engineering: A Pilot Project. CISIS-ICEUTE (2021)
Miguel A. Molina-Cabello, Karl Thurnhofer-Hemsi, Enrique Domínguez, Ezequiel López-Rubio, Esteban J. Palomo
Longitudinal Study of the Learning Styles Evolution in Engineering Degrees. CISIS-ICEUTE (2021)
Esteban J. Palomo, Jesús Benito-Picazo, Enrique Domínguez, Ezequiel López-Rubio, Francisco Ortega-Zamorano
Hierarchical Color Quantization with a Neural Gas Model Based on Bregman Divergences. SOCO (2021)
Jesús Benito-Picazo, Enrique Domínguez, Esteban J. Palomo, Gonzalo Ramos-Jiménez, Ezequiel López-Rubio
Deep learning-based anomalous object detection system for panoramic cameras managed by a Jetson TX2 board. IJCNN (2021)
Jesús Benito-Picazo, Esteban J. Palomo, Enrique Domínguez, Antonio Díaz Ramos
Image Clustering Using a Growing Neural Gas with Forbidden Regions. IJCNN (2020)
Esteban J. Palomo, Ezequiel López-Rubio, Francisco Ortega-Zamorano, Rafaela Benítez-Rochel
Exploratory Data Analysis and Foreground Detection with the Growing Hierarchical Neural Forest. Neural Process. Lett. 52 (3) (2020)
Antonio Díaz Ramos, Ezequiel López-Rubio, Esteban J. Palomo
The Forbidden Region Self-Organizing Map Neural Network. IEEE Trans. Neural Networks Learn. Syst. 31 (1) (2020)
Jesús Benito-Picazo, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio
Deep learning-based video surveillance system managed by low cost hardware and panoramic cameras. Integr. Comput. Aided Eng. 27 (4) (2020)
Jesús Benito-Picazo, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato
Motion detection with low cost hardware for PTZ cameras. Integr. Comput. Aided Eng. 26 (1) (2019)
Jesús Benito-Picazo, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio
Deep Learning-Based Security System Powered by Low Cost Hardware and Panoramic Cameras. IWINAC (2) (2019)
Antonio Muñoz, Esteban J. Palomo, Antonio Jerez-Calero
Use of an ANN to Value MTF and Melatonin Effect on ADHD Affected Children. IEEE Access 7 (2019)
Esteban J. Palomo, Miguel A. Molina-Cabello, Ezequiel López-Rubio, Rafael Marcos Luque Baena
A New Self-Organizing Neural Gas Model based on Bregman Divergences. IJCNN (2018)
Jesús Benito-Picazo, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato
Deep learning-based anomalous object detection system powered by microcontroller for PTZ cameras. IJCNN (2018)
Ezequiel López-Rubio, Esteban J. Palomo, Francisco Ortega-Zamorano
Unsupervised learning by cluster quality optimization. Inf. Sci. (2018)
Miguel A. Molina-Cabello, Ezequiel López-Rubio, Rafael M. Luque-Baena, Enrique Domínguez, Esteban J. Palomo
Foreground object detection for video surveillance by fuzzy logic based estimation of pixel illumination states. Log. J. IGPL 26 (6) (2018)
Francisco Javier López-Rubio, Ezequiel López-Rubio, Miguel A. Molina-Cabello, Rafael Marcos Luque Baena, Esteban J. Palomo, Enrique Domínguez
The effect of noise on foreground detection algorithms. Artif. Intell. Rev. 49 (3) (2018)
Ezequiel López-Rubio, Rafael M. Luque-Baena, Esteban J. Palomo, Enrique Domínguez
Dynamic tree topology learning by self-organization. Neural Comput. Appl. 28 (5) (2017)
Esteban J. Palomo, Ezequiel López-Rubio
The Growing Hierarchical Neural Gas Self-Organizing Neural Network. IEEE Trans. Neural Networks Learn. Syst. 28 (9) (2017)
Jesús Benito-Picazo, Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Enrique Domínguez, Esteban J. Palomo
Motion Detection by Microcontroller for Panning Cameras. IWINAC (2) (2017)
Francisco Ortega-Zamorano, Miguel A. Molina-Cabello, Ezequiel López-Rubio, Esteban J. Palomo
Smart motion detection sensor based on video processing using self-organizing maps. Expert Syst. Appl. 64 (2016)
Esteban J. Palomo, Ezequiel Lopez-Rubio
Extended abstract: A color quantization approach based on the Growing Neural Forest. LA-CCI (2016)
Miguel A. Molina-Cabello, Ezequiel López-Rubio, Rafael Marcos Luque Baena, Enrique Domínguez, Esteban J. Palomo
Pixel Features for Self-organizing Map Based Detection of Foreground Objects in Dynamic Environments. SOCO-CISIS-ICEUTE (2016)
Miguel A. Molina-Cabello, Ezequiel López-Rubio, Rafael Marcos Luque Baena, Esteban J. Palomo, Enrique Domínguez
Frame Size Reduction for Foreground Detection in Video Sequences. CAEPIA (2016)
Francisco Javier López-Rubio, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio, Rafael Marcos Luque Baena
Selecting the Color Space for Self-Organizing Map Based Foreground Detection in Video. Neural Process. Lett. 43 (2) (2016)
Ezequiel López-Rubio, Esteban J. Palomo, Enrique Domínguez
Robust self-organization with M-estimators. Neurocomputing 151 (2015)
Rafael Marcos Luque Baena, Ezequiel López-Rubio, Enrique Domínguez, Esteban J. Palomo, José M. Jerez
A self-organizing map to improve vehicle detection in flow monitoring systems. Soft Comput. 19 (9) (2015)
Francisco Javier López-Rubio, Ezequiel López-Rubio, Rafael Marcos Luque Baena, Enrique Domínguez, Esteban J. Palomo
Color space selection for self-organizing map based foreground detection in video sequences. IJCNN (2014)
Esteban J. Palomo, Enrique Domínguez
Hierarchical Color Quantization Based on Self-organization. J. Math. Imaging Vis. 49 (1) (2014)
Esteban J. Palomo, Enrique Domínguez, Rafael M. Luque-Baena, José Muñoz
Image Compression and Video Segmentation Using Hierarchical Self-Organization. Neural Process. Lett. 37 (1) (2013)
Rafael Marcos Luque Baena, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio, Enrique Domínguez, Esteban J. Palomo
A Competitive Neural Network for Multiple Object Tracking in Video Sequence Analysis. Neural Process. Lett. 37 (1) (2013)
Rafael M. Luque-Baena, David A. Elizondo, Ezequiel López-Rubio, Esteban J. Palomo, Tim Watson
Assessment of geometric features for individual identification and verification in biometric hand systems. Expert Syst. Appl. 40 (9) (2013)
Esteban J. Palomo, John North, David A. Elizondo, Rafael Marcos Luque, Tim Watson
Application of growing hierarchical SOM for visualisation of network forensics traffic data. Neural Networks 32 (2012)
Ezequiel López-Rubio, Esteban J. Palomo
Growing Hierarchical Probabilistic Self-Organizing Graphs. IEEE Trans. Neural Networks 22 (7) (2011)
Rafael Marcos Luque, David A. Elizondo, Ezequiel López-Rubio, Esteban J. Palomo
GA-based feature selection approach in biometric hand systems. IJCNN (2011)
Rafael Marcos Luque, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio, Enrique Domínguez, Esteban J. Palomo
Feature Weighting in Competitive Learning for Multiple Object Tracking in Video Sequences. IWANN (2) (2011)
Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz
Lossy Image Compression Using a GHSOM. IWANN (2) (2011)
Esteban J. Palomo, John North, David A. Elizondo, Rafael Marcos Luque, Tim Watson
Visualisation of network forensics traffic data with a self-organising map for qualitative features. IJCNN (2011)
Esteban J. Palomo, Enrique Domínguez
Image compression based on growing hierarchical Self-Organizing Maps. IJCNN (2011)
Esteban J. Palomo, Juan Miguel Ortiz-de-Lazcano-Lobato, Enrique Domínguez, Rafael Marcos Luque
An anomaly detection system using a GHSOM-1. IJCNN (2010)
Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz
Web Document Clustering based on a Hierarchical Self-Organizing Model. ESANN (2010)
Rafael Marcos Luque, Enrique Domínguez, Esteban J. Palomo, José Muñoz
An ART-type network approach for video object detection. ESANN (2010)
Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz
Image Hierarchical Segmentation Based on a GHSOM. ICONIP (1) (2009)
Rafael Marcos Luque, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio, Esteban J. Palomo
Object Tracking in Video Sequences by Unsupervised Learning. CAIP (2009)
Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz
Spam Detection Based on a Hierarchical Self-Organizing Map. ICIC (2) (2009)
Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz
Network Security Using Growing Hierarchical Self-Organizing Maps. ICANNGA (2009)
Rafael Marcos Luque, Enrique Domínguez, Esteban J. Palomo, José Muñoz
A Neural Recognition System for Manufactured Objects. IWANN (2) (2009)
Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz
A Self-Organized Multiagent System for Intrusion Detection. ADMI (2009)
Juan Miguel Ortiz-de-Lazcano-Lobato, Rafael Marcos Luque, Domingo López-Rodríguez, Esteban J. Palomo
Growing Competitive Network for Tracking Objects in Video Sequences. ICANNGA (2009)
Esteban J. Palomo, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, Rafael Marcos Luque
Hierarchical Graphs for Data Clustering. IWANN (1) (2009)
Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz
A New GHSOM Model Applied to Network Security. ICANN (1) (2008)
Rafael Marcos Luque Baena, Enrique Domínguez, Domingo López-Rodríguez, Esteban J. Palomo
A Neighborhood-Based Competitive Network for Video Segmentation and Object Detection. ICANN (1) (2008)
Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz
An Intrusion Detection System Based on Hierarchical Self-Organization. CISIS (2008)
Rafael Marcos Luque, Domingo López-Rodríguez, Enrique Mérida Casermeiro, Esteban J. Palomo
Video Object Segmentation with Multivalued Neural Networks. HIS (2008)
Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz
A Competitive Neural Network for Intrusion Detection Systems. MCO (2008)
Rafael Marcos Luque, Enrique Domínguez, Esteban J. Palomo, José Muñoz
A Neural Network Approach for Video Object Segmentation in Traffic Surveillance. ICIAR (2008)
Rafael Marcos Luque, Francisco L. Valverde, Enrique Domínguez, Esteban J. Palomo, José Muñoz
Detecting Critical Situation in Public Transport. PRIS (2008)
Rafael Marcos Luque, Domingo López-Rodríguez, Enrique Domínguez, Esteban J. Palomo
A Dipolar Competitive Neural Network for Video Segmentation. IBERAMIA (2008)