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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
aka: Esteban José Palomo
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last updated on 2024-10-04 19:56 CEST by the dblp team
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