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ORCIDEsteban J. Palomo
Esteban José Palomo – Esteban José Palomo-Ferrer
Person information
- affiliation: University of Malaga, Spain
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2020 – today
- 2024
[j27]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: 69229-69239 (2024)- [c46]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: 116-125 - [i2]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 abs/2402.00570 (2024) - [i1]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 abs/2402.00593 (2024) - 2023
- [j26]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): 537-551 (2023) - [j25]José David Fernández-Rodríguez, Esteban José Palomo, Juan Miguel Ortiz-de-Lazcano-Lobato, Gonzalo Ramos-Jiménez, Ezequiel López-Rubio:
Dynamic learning rates for continual unsupervised learning. Integr. Comput. Aided Eng. 30(3): 257-273 (2023) - [j24]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: 126288 (2023) - [c45]Jesús Benito-Picazo, Jose David Fernández Rodriguez, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio:
Parallel Processing Applied to Object Detection with a Jetson TX2 Embedded System. SOCO (2) 2023: 184-194 - 2022
- [c44]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: 223-232 - [c43]Esteban J. Palomo, Miguel A. Zafra-Santisteban, Rafael M. Luque-Baena:
Pneumonia Detection in Chest X-ray Images using Convolutional Neural Networks. MetroXRAINE 2022: 16-21 - [c42]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: 22-27 - 2021
- [c41]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: 264-273 - [c40]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: 274-283 - [c39]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: 1-7 - [c38]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: 327-337 - 2020
- [j23]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): 373-387 (2020) - [j22]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): 2537-2563 (2020) - [j21]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): 201-211 (2020) - [c37]Jesús Benito-Picazo, Esteban J. Palomo, Enrique Domínguez, Antonio Díaz Ramos:
Image Clustering Using a Growing Neural Gas with Forbidden Regions. IJCNN 2020: 1-7
2010 – 2019
- 2019
- [j20]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: 127254-127264 (2019) - [j19]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): 21-36 (2019) - [c36]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: 317-326 - 2018
- [j18]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): 407-438 (2018) - [j17]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): 593-604 (2018) - [j16]Ezequiel López-Rubio, Esteban J. Palomo, Francisco Ortega-Zamorano:
Unsupervised learning by cluster quality optimization. Inf. Sci. 436-437: 31-55 (2018) - [c35]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: 1-7 - [c34]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: 1-8 - 2017
- [j15]Ezequiel López-Rubio, Rafael M. Luque-Baena, Esteban J. Palomo, Enrique Domínguez:
Dynamic tree topology learning by self-organization. Neural Comput. Appl. 28(5): 911-924 (2017) - [j14]Esteban J. Palomo, Ezequiel López-Rubio:
The Growing Hierarchical Neural Gas Self-Organizing Neural Network. IEEE Trans. Neural Networks Learn. Syst. 28(9): 2000-2009 (2017) - [c33]Esteban José Palomo, Jesús Benito-Picazo, Ezequiel López-Rubio, Enrique Domínguez:
Unsupervised Color Quantization with the Growing Neural Forest. IWANN (2) 2017: 306-316 - [c32]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: 279-288 - 2016
- [j13]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: 476-489 (2016) - [j12]Esteban José Palomo, Ezequiel López-Rubio:
Learning Topologies with the Growing Neural Forest. Int. J. Neural Syst. 26(4): 1650019:1-1650019:21 (2016) - [j11]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): 345-361 (2016) - [c31]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: 3-12 - [c30]Esteban J. Palomo, Ezequiel López-Rubio:
Extended abstract: A color quantization approach based on the Growing Neural Forest. LA-CCI 2016: 1-2 - [c29]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: 247-255 - 2015
- [j10]Ezequiel López-Rubio, Esteban J. Palomo, Enrique Domínguez:
Robust self-organization with M-estimators. Neurocomputing 151: 408-423 (2015) - [j9]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): 2499-2509 (2015) - [c28]Ezequiel López-Rubio, Esteban José Palomo, Rafael Marcos Luque Baena, Enrique Domínguez:
Visualization of Complex Datasets with the Self-Organizing Spanning Tree. IWANN (1) 2015: 209-217 - 2014
- [j8]Ezequiel López-Rubio, Esteban José Palomo, Enrique Domínguez:
Bregman Divergences for Growing Hierarchical Self-Organizing Networks. Int. J. Neural Syst. 24(4) (2014) - [j7]Esteban J. Palomo, Enrique Domínguez:
Hierarchical Color Quantization Based on Self-organization. J. Math. Imaging Vis. 49(1): 1-19 (2014) - [c27]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: 3347-3354 - 2013
- [j6]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): 3580-3594 (2013) - [j5]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): 47-67 (2013) - [j4]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): 69-87 (2013) - [c26]Esteban José Palomo, Ezequiel López-Rubio, Enrique Domínguez, Rafael Marcos Luque Baena:
Hierarchical Self-Organizing Networks for Multispectral Data Visualization. IWANN (2) 2013: 449-457 - [c25]Rafael Marcos Luque Baena, Ezequiel López-Rubio, Enrique Domínguez, Esteban José Palomo, José Manuel Jerez:
A Self-organizing Map for Traffic Flow Monitoring. IWANN (2) 2013: 458-466 - 2012
- [j3]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: 275-284 (2012) - [p2]Esteban J. Palomo, David A. Elizondo, Enrique Domínguez, Rafael Marcos Luque, Tim Watson:
SOM-Based Techniques towards Hierarchical Visualisation of Network Forensics Traffic Data. Computational Intelligence for Privacy and Security 2012: 75-95 - [p1]Rafael Marcos Luque, David A. Elizondo, Ezequiel López-Rubio, Esteban J. Palomo:
Feature Selection of Hand Biometrical Traits Based on Computational Intelligence Techniques. Computational Intelligence for Privacy and Security 2012: 159-180 - 2011
- [j2]Ezequiel López-Rubio, Esteban José Palomo-Ferrer, Juan Miguel Ortiz-de-Lazcano-Lobato, María del Carmen Vargas-González:
Dynamic topology learning with the probabilistic self-organizing graph. Neurocomputing 74(16): 2633-2648 (2011) - [j1]Ezequiel López-Rubio, Esteban J. Palomo:
Growing Hierarchical Probabilistic Self-Organizing Graphs. IEEE Trans. Neural Networks 22(7): 997-1008 (2011) - [c24]Rafael Marcos Luque, David A. Elizondo, Ezequiel López-Rubio, Esteban J. Palomo:
GA-based feature selection approach in biometric hand systems. IJCNN 2011: 246-253 - [c23]Esteban J. Palomo, Enrique Domínguez:
Image compression based on growing hierarchical Self-Organizing Maps. IJCNN 2011: 1624-1628 - [c22]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: 1740-1747 - [c21]Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz:
Lossy Image Compression Using a GHSOM. IWANN (2) 2011: 1-8 - [c20]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: 17-24 - 2010
- [c19]Rafael Marcos Luque, Enrique Domínguez, Esteban J. Palomo, José Muñoz:
An ART-type network approach for video object detection. ESANN 2010 - [c18]Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz:
Web Document Clustering based on a Hierarchical Self-Organizing Model. ESANN 2010 - [c17]Esteban J. Palomo, Juan Miguel Ortiz-de-Lazcano-Lobato, Enrique Domínguez, Rafael Marcos Luque:
An anomaly detection system using a GHSOM-1. IJCNN 2010: 1-7
2000 – 2009
- 2009
- [c16]Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz:
A Self-Organized Multiagent System for Intrusion Detection. ADMI 2009: 84-94 - [c15]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: 1070-1077 - [c14]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: 109-118 - [c13]Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz:
Network Security Using Growing Hierarchical Self-Organizing Maps. ICANNGA 2009: 130-139 - [c12]Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz:
Spam Detection Based on a Hierarchical Self-Organizing Map. ICIC (2) 2009: 30-37 - [c11]Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz:
Image Hierarchical Segmentation Based on a GHSOM. ICONIP (1) 2009: 743-750 - [c10]Esteban J. Palomo, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, Rafael Marcos Luque:
Hierarchical Graphs for Data Clustering. IWANN (1) 2009: 432-439 - [c9]Rafael Marcos Luque, Enrique Domínguez, Esteban J. Palomo, José Muñoz:
A Neural Recognition System for Manufactured Objects. IWANN (2) 2009: 1274-1281 - 2008
- [c8]Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz:
An Intrusion Detection System Based on Hierarchical Self-Organization. CISIS 2008: 139-146 - [c7]Rafael Marcos Luque, Domingo López-Rodríguez, Enrique Mérida Casermeiro, Esteban J. Palomo:
Video Object Segmentation with Multivalued Neural Networks. HIS 2008: 613-618 - [c6]Rafael Marcos Luque, Domingo López-Rodríguez, Enrique Domínguez, Esteban J. Palomo:
A Dipolar Competitive Neural Network for Video Segmentation. IBERAMIA 2008: 103-112 - [c5]Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz:
A New GHSOM Model Applied to Network Security. ICANN (1) 2008: 680-689 - [c4]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: 877-886 - [c3]Rafael Marcos Luque, Enrique Domínguez, Esteban J. Palomo, José Muñoz:
A Neural Network Approach for Video Object Segmentation in Traffic Surveillance. ICIAR 2008: 151-158 - [c2]Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz:
A Competitive Neural Network for Intrusion Detection Systems. MCO 2008: 530-537 - [c1]Rafael Marcos Luque, Francisco L. Valverde, Enrique Domínguez, Esteban J. Palomo, José Muñoz:
Detecting Critical Situation in Public Transport. PRIS 2008: 57-66
Coauthor Index
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