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ORCIDRafael Marcos Luque Baena
Rafael Marcos Luque – Rafael M. Luque-Baena
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2020 – today
- 2024
[j41]Iván García Aguilar
, Jorge García-González, Daniel Medina, Rafael Marcos Luque Baena, Enrique Domínguez, Ezequiel López-Rubio:
Detection of dangerously approaching vehicles over onboard cameras by speed estimation from apparent size. Neurocomputing 567: 127057 (2024)- [j40]Jose L. Ruiz-Casado, Miguel A. Molina-Cabello, Rafael M. Luque-Baena:
Enhancing Histopathological Image Classification Performance through Synthetic Data Generation with Generative Adversarial Networks. Sensors 24(12): 3777 (2024) - [c61]Iván García Aguilar, Jesús Galeano-Brajones, Francisco Luna-Valero, Javier Carmona-Murillo, José David Fernández-Rodríguez, Rafael M. Luque-Baena:
Prediction of Optimal Locations for 5G Base Stations in Urban Environments Using Neural Networks and Satellite Image Analysis. IWINAC (2) 2024: 33-43 - [c60]Iván García Aguilar, Rostyslav Zavoiko, Jose David Fernández Rodriguez, Rafael Marcos Luque Baena, Ezequiel López-Rubio:
Enhanced Cellular Detection Using Convolutional Neural Networks and Sliding Window Super-Resolution Inference. IWINAC (2) 2024: 44-54 - 2023
- [j39]Iván García Aguilar, Jorge García-González, Rafael M. Luque-Baena, Ezequiel López-Rubio, Enrique Domínguez:
Optimized instance segmentation by super-resolution and maximal clique generation. Integr. Comput. Aided Eng. 30(3): 243-256 (2023) - [j38]Iván García Aguilar, Jorge García-González, Rafael Marcos Luque Baena, Ezequiel López-Rubio:
Object detection in traffic videos: an optimized approach using super-resolution and maximal clique algorithm. Neural Comput. Appl. 35(26): 18999-19013 (2023) - [j37]Iván García Aguilar, Jorge García-González, Rafael Marcos Luque Baena, Ezequiel López-Rubio:
Automated labeling of training data for improved object detection in traffic videos by fine-tuned deep convolutional neural networks. Pattern Recognit. Lett. 167: 45-52 (2023) - [j36]Iván García Aguilar, Rafael Marcos Luque Baena, Enrique Domínguez, Ezequiel López-Rubio:
Small-Scale Urban Object Anomaly Detection Using Convolutional Neural Networks with Probability Estimation. Sensors 23(16): 7185 (2023) - [c59]Iván García Aguilar, Lipika Deka, Rafael Marcos Luque Baena, Enrique Domínguez, Ezequiel López-Rubio:
Minimal Optimal Region Generation for Enhanced Object Detection in Aerial Images Using Super-Resolution and Convolutional Neural Networks. IWANN (1) 2023: 276-287 - 2022
- [j35]Iván García Aguilar, Rafael Marcos Luque Baena, Ezequiel López-Rubio:
Improved detection of small objects in road network sequences using CNN and super resolution. Expert Syst. J. Knowl. Eng. 39(2) (2022) - [c58]Jorge García-González, Rafael M. Luque-Baena, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio:
Moving Object Detection in Noisy Video Sequences Using Deep Convolutional Disentangled Representations. ICIP 2022: 1376-1380 - [c57]Iván García Aguilar, Jorge García-González, Rafael Marcos Luque Baena, Ezequiel López-Rubio, Enrique Domínguez Merino:
Enhanced Image Segmentation by a Novel Test Time Augmentation and Super-Resolution. IWINAC (1) 2022: 153-162 - [c56]Clara Jiménez-Valverde, Rosa Maza-Quiroga, Domingo López-Rodríguez, Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Rafael Marcos Luque Baena:
Analysis of Functional Connectome Pipelines for the Diagnosis of Autism Spectrum Disorders. IWINAC (1) 2022: 213-222 - [c55]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 - [c54]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 - [c53]Jorge García-González, Iván García Aguilar, Daniel Medina, Rafael Marcos Luque Baena, Ezequiel López-Rubio, Enrique Domínguez:
Vehicle Overtaking Hazard Detection over Onboard Cameras Using Deep Convolutional Networks. SOCO 2022: 330-339 - 2021
- [j34]Jorge García-González, Miguel A. Molina-Cabello, Rafael M. Luque-Baena, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio:
Road pollution estimation from vehicle tracking in surveillance videos by deep convolutional neural networks. Appl. Soft Comput. 113(Part): 107950 (2021) - [j33]Ezequiel López-Rubio, Miguel A. Molina-Cabello, Francisco M. Castro, Rafael M. Luque-Baena, Manuel J. Marín-Jiménez, Nicolás Guil:
Anomalous object detection by active search with PTZ cameras. Expert Syst. Appl. 181: 115150 (2021) - [c52]Jorge García-González, Juan Miguel Ortiz-de-Lazcano-Lobato, Rafael Marcos Luque Baena, Ezequiel López-Rubio:
Foreground Segmentation Improvement by Image Denoising Preprocessing Applied to Noisy Video Sequences. SOCO 2021: 388-397 - [i1]Iván García, Rafael Marcos Luque, Ezequiel López-Rubio:
Improved detection of small objects in road network sequences. CoRR abs/2105.08416 (2021) - 2020
- [j32]Miguel A. Molina-Cabello, David A. Elizondo, Rafael Marcos Luque Baena, Ezequiel López-Rubio:
Aggregation of Convolutional Neural Network Estimations of Homographies by Color Transformations of the Inputs. IEEE Access 8: 79552-79560 (2020) - [j31]Miguel A. Molina-Cabello, Jorge García-González, Rafael M. Luque-Baena, Ezequiel López-Rubio:
The effect of downsampling-upsampling strategy on foreground detection algorithms. Artif. Intell. Rev. 53(7): 4935-4965 (2020) - [j30]Miguel A. Molina-Cabello, David A. Elizondo, Rafael M. Luque-Baena, Ezequiel López-Rubio:
Foreground detection by ensembles of random polygonal tilings. Expert Syst. Appl. 161: 113518 (2020) - [j29]Jorge García-González, Juan Miguel Ortiz-de-Lazcano-Lobato, Rafael M. Luque-Baena, Ezequiel López-Rubio:
Background subtraction by probabilistic modeling of patch features learned by deep autoencoders. Integr. Comput. Aided Eng. 27(3): 253-265 (2020) - [j28]Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Enrique Domínguez, Rafael Marcos Luque Baena, Núria Roé-Vellvé:
Deep learning-based super-resolution of 3D magnetic resonance images by regularly spaced shifting. Neurocomputing 398: 314-327 (2020) - [c51]Jorge García-González, Juan Miguel Ortiz-de-Lazcano-Lobato, Rafael M. Luque-Baena, Ezequiel López-Rubio:
Foreground Detection by Probabilistic Mixture Models Using Semantic Information from Deep Networks. ECAI 2020: 2696-2703 - [c50]Jorge García-González, Miguel A. Molina-Cabello, Rafael M. Luque-Baena, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio:
Deep Autoencoder Architectures For Foreground Object Detection In Video Sequences Based On Probabilistic Mixture Models. ICIP 2020: 3199-3203 - [c49]Karl Thurnhofer-Hemsi, Guillermo Ruiz-Álvarez, Rafael Marcos Luque Baena, Miguel A. Molina-Cabello, Ezequiel López-Rubio:
Performance of Deep Learning and Traditional Techniques in Single Image Super-Resolution of Noisy Images. ICPR Workshops (6) 2020: 623-638 - [c48]Miguel A. Molina-Cabello, Jorge García-González, Rafael Marcos Luque Baena, Karl Thurnhofer-Hemsi, Ezequiel López-Rubio:
Adaptive estimation of optimal color transformations for deep convolutional network based homography estimation. ICPR 2020: 3106-3113
2010 – 2019
- 2019
- [j27]Juan F. Valenzuela-Valdés, Francisco Luna, Pablo Padilla, José Luis Padilla, Rafael Marcos Luque, Juan Enrique Agudo:
Securing and Greening Wireless Sensor Networks with Beamforming. Mob. Networks Appl. 24(2): 712-720 (2019) - [j26]Jorge García-González, Juan Miguel Ortiz-de-Lazcano-Lobato, Rafael M. Luque-Baena, Miguel A. Molina-Cabello, Ezequiel López-Rubio:
Foreground detection by probabilistic modeling of the features discovered by stacked denoising autoencoders in noisy video sequences. Pattern Recognit. Lett. 125: 481-487 (2019) - [c47]Jorge García-González, Juan Miguel Ortiz-de-Lazcano-Lobato, Rafael M. Luque-Baena, Ezequiel López-Rubio:
Background Modeling by Shifted Tilings of Stacked Denoising Autoencoders. IWINAC (2) 2019: 307-316 - 2018
- [j25]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) - [j24]Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Enrique Domínguez, Rafael Marcos Luque Baena, Miguel A. Molina-Cabello:
Panorama construction for PTZ camera surveillance with the neural gas network. Expert Syst. J. Knowl. Eng. 35(2) (2018) - [j23]Miguel A. Molina-Cabello, Rafael Marcos Luque Baena, Ezequiel López-Rubio, Karl Thurnhofer-Hemsi:
Vehicle type detection by ensembles of convolutional neural networks operating on super resolved images. Integr. Comput. Aided Eng. 25(4): 321-333 (2018) - [j22]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) - [j21]Ezequiel López-Rubio, Miguel A. Molina-Cabello, Rafael Marcos Luque Baena, Enrique Domínguez:
Foreground Detection by Competitive Learning for Varying Input Distributions. Int. J. Neural Syst. 28(5): 1750056:1-1750056:16 (2018) - [j20]David Quintana, Francisco Chávez, Rafael Marcos Luque Baena, Francisco Luna:
Fuzzy techniques for IPO underpricing prediction. J. Intell. Fuzzy Syst. 35(1): 367-381 (2018) - [j19]Francisco J. Rodríguez, Antonio García, Pedro J. Pardo, Francisco Chávez, Rafael M. Luque-Baena:
Study and classification of plum varieties using image analysis and deep learning techniques. Prog. Artif. Intell. 7(2): 119-127 (2018) - [c46]Francisco Luna, Rafael M. Luque-Baena, Jesus Martinez, Juan F. Valenzuela-Valdés, Pablo Padilla:
Addressing the 5G Cell Switch-off Problem with a Multi-objective Cellular Genetic Algorithm. 5G World Forum 2018: 422-426 - [c45]Jorge García-González, Juan Miguel Ortiz-de-Lazcano-Lobato, Rafael M. Luque-Baena, Miguel A. Molina-Cabello, Ezequiel López-Rubio:
Background Modeling for Video Sequences by Stacked Denoising Autoencoders. CAEPIA 2018: 341-350 - [c44]Miguel A. Molina-Cabello, Rafael Marcos Luque Baena, Ezequiel López-Rubio, Lipika Deka, Karl Thurnhofer-Hemsi:
Road Pollution Estimation Using Static Cameras And Neural Networks. IJCNN 2018: 1-7 - [c43]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 - [c42]Rafael Marcos Luque Baena, Miguel A. Molina-Cabello, Ezequiel López-Rubio, Enrique Domínguez:
Foreground Detection Enhancement Using Pearson Correlation Filtering. IPMU (3) 2018: 417-428 - [c41]Miguel A. Molina-Cabello, Ezequiel López-Rubio, Rafael M. Luque-Baena, María Jesús Rodríguez-Espinosa, Karl Thurnhofer-Hemsi:
Blood Cell Classification Using the Hough Transform and Convolutional Neural Networks. WorldCIST (2) 2018: 669-678 - 2017
- [j18]Miguel A. Molina-Cabello, Rafael M. Luque-Baena, Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Enrique Domínguez:
A Growing Neural Gas Approach to Classify Vehicles in Traffic Environments. Int. J. Comput. Vis. Image Process. 7(3): 1-12 (2017) - [j17]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) - [c40]Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Enrique Domínguez, Rafael Marcos Luque Baena, Miguel A. Molina-Cabello:
Panoramic background modeling for PTZ cameras with competitive learning neural networks. IJCNN 2017: 396-403 - [c39]Miguel A. Molina-Cabello, Ezequiel López-Rubio, Rafael Marcos Luque Baena, Enrique Domínguez, Karl Thurnhofer-Hemsi:
Neural controller for PTZ cameras based on nonpanoramic foreground detection. IJCNN 2017: 404-411 - [c38]Daniel Urda, Rafael Marcos Luque Baena, Leonardo Franco, José M. Jerez, Noelia Sánchez-Maroño:
Machine learning models to search relevant genetic signatures in clinical context. IJCNN 2017: 1649-1656 - [c37]Miguel A. Molina-Cabello, Rafael Marcos Luque Baena, Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Enrique Domínguez, José Muñoz-Pérez:
Vehicle Classification in Traffic Environments Using the Growing Neural Gas. IWANN (2) 2017: 225-234 - [c36]Miguel A. Molina-Cabello, Rafael Marcos Luque Baena, Ezequiel López-Rubio, Karl Thurnhofer-Hemsi:
Vehicle Type Detection by Convolutional Neural Networks. IWINAC (2) 2017: 268-278 - 2016
- [j16]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) - [j15]Juan Enrique Agudo, Juan F. Valenzuela-Valdés, Francisco Luna-Valero, Rafael Marcos Luque Baena, Pablo Padilla:
Analysis of beamforming for improving the energy efficiency in wireless sensor networks with metaheuristics. Prog. Artif. Intell. 5(3): 199-206 (2016) - [j14]Francisco Porcel-Rodríguez, Juan F. Valenzuela-Valdés, Pablo Padilla, Francisco Luna-Valero, Rafael M. Luque-Baena, Miguel Angel Lopez-Gordo:
Clustering and Beamforming for Efficient Communication in Wireless Sensor Networks. Sensors 16(8): 1334 (2016) - [j13]Francisco Ortega-Zamorano, José M. Jerez, Daniel Urda, Rafael M. Luque-Baena, Leonardo Franco:
Efficient Implementation of the Backpropagation Algorithm in FPGAs and Microcontrollers. IEEE Trans. Neural Networks Learn. Syst. 27(9): 1840-1850 (2016) - [c35]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 - [c34]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
- [j12]Ezequiel López-Rubio, David A. Elizondo, Martin Grootveld, José M. Jerez, Rafael M. Luque-Baena:
Computational Intelligence Techniques in Medicine. Comput. Math. Methods Medicine 2015: 196976:1-196976:2 (2015) - [j11]Francisco J. Veredas, Rafael M. Luque-Baena, Francisco J. Martín-Santos, Juan C. Morilla-Herrera, Laura Morente:
Wound image evaluation with machine learning. Neurocomputing 164: 112-122 (2015) - [j10]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) - [c33]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
- [j9]Rafael Marcos Luque Baena, Daniel Urda, M. Gonzalo Claros, Leonardo Franco, José M. Jerez:
Robust gene signatures from microarray data using genetic algorithms enriched with biological pathway keywords. J. Biomed. Informatics 49: 32-44 (2014) - [j8]Ezequiel López-Rubio, Rafael Marcos Luque Baena:
An adaptive system for compressed video deblocking. Signal Process. 103: 415-425 (2014) - [c32]Juan F. Valenzuela-Valdés, Francisco Luna-Valero, Rafael Marcos Luque Baena, Pablo Padilla:
Saving energy in WSNs with beamforming. CloudNet 2014: 255-260 - [c31]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
- [j7]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) - [j6]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) - [j5]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) - [c30]Daniel Urda, Rafael Marcos Luque, María Jesús Jiménez-Come, Ignacio Turias Domínguez, Leonardo Franco, José Manuel Jerez:
A Constructive Neural Network to Predict Pitting Corrosion Status of Stainless Steel. IWANN (1) 2013: 88-95 - [c29]José Luis Subirats, Rafael Marcos Luque Baena, Daniel Urda, Francisco Ortega-Zamorano, José Manuel Jerez, Leonardo Franco:
Committee C-Mantec: A Probabilistic Constructive Neural Network. IWANN (1) 2013: 339-346 - [c28]María Navas, Rafael M. Luque-Baena, Laura Morente, David Coronado, Rafael Rodríguez, Francisco J. Veredas:
Computer-Aided Diagnosis in Wound Images with Neural Networks. IWANN (2) 2013: 439-448 - [c27]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 - [c26]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 - [c25]Rafael Marcos Luque Baena, Daniel Urda, José Luis Subirats, Leonardo Franco, José M. Jerez:
Analysis of Cancer Microarray Data using Constructive Neural Networks and Genetic Algorithms. IWBBIO 2013: 55-63 - 2012
- [j4]Eduardo Cañete, Jaime Chen, Rafael Marcos Luque, Bartolomé Rubio:
NeuralSens: A neural network based framework to allow dynamic adaptation in wireless sensor and actor networks. J. Netw. Comput. Appl. 35(1): 382-393 (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, Rafael Marcos Luque Baena:
Stochastic approximation for background modelling. Comput. Vis. Image Underst. 115(6): 735-749 (2011) - [j1]Ezequiel López-Rubio, Rafael Marcos Luque Baena, Enrique Domínguez:
Foreground Detection in Video Sequences with Probabilistic Self-Organizing Maps. Int. J. Neural Syst. 21(3): 225-246 (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, 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 - [c22]Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz:
Lossy Image Compression Using a GHSOM. IWANN (2) 2011: 1-8 - [c21]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
- [c20]Rafael Marcos Luque, Enrique Domínguez, Esteban J. Palomo, José Muñoz:
An ART-type network approach for video object detection. ESANN 2010 - [c19]Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz:
Web Document Clustering based on a Hierarchical Self-Organizing Model. ESANN 2010 - [c18]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
- [c17]Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz:
A Self-Organized Multiagent System for Intrusion Detection. ADMI 2009: 84-94 - [c16]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 - [c15]Eduardo Cañete, Jaime Chen, Luis Llopis, Rafael Marcos Luque, Bartolomé Rubio:
Dynamic adaptation in wireless sensor networks using Neuronal Networks. IADIS AC (2) 2009: 3-7 - [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
[j41] [c60] [j39] [j38] [j37] [j36] [c59] [j35] [c58] [c57] [c56] [c53] [j34] [j33] [c52] [i1] [j32] [j31] [j30] [j29] [j28] [c51] [c50] [c49] [c48] [j26] [c47] [j25] [j24] [j23] [j22] [j21] [c45] [c44] [c43] [c42] [c41] [j18] [j17] [c40] [c39] [c37] [c36] [j16] [c35] [c34] [j12] [j10] [c33] [j8] [c31] [j7] [j6] [c27] [c26] [p1] [j2] [j1] [c24] [c21] [c16]
Esteban J. Palomo
aka: Esteban José Palomo
aka: Esteban José Palomo
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Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-04 20:56 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
