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ORCIDEzequiel López-Rubio
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2020 – today
- 2024
[j90]José Ángel Díaz-Francés, José David Fernández-Rodríguez
, Karl Thurnhofer-Hemsi, Ezequiel López-Rubio:
Semi-Supervised Semantic Image Segmentation by Deep Diffusion Models and Generative Adversarial Networks. Int. J. Neural Syst. 34(11): 2450057:1-2450057:16 (2024)- [j89]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) - [j88]José A. Rodríguez-Rodríguez, Ezequiel López-Rubio, Juan A. Ángel-Ruiz, Miguel A. Molina-Cabello:
The Impact of Noise and Brightness on Object Detection Methods. Sensors 24(3): 821 (2024) - [c83]Antonio Fernández-Rodríguez, Ezequiel López-Rubio, Pablo Torres-Salomón, Jorge Rodríguez-Capitán, Manuel Jiménez-Navarro, Miguel A. Molina-Cabello:
Enhancing Echocardiography Quality with Diffusion Neural Models. IWBBIO (2) 2024: 169-181 - [c82]José David Fernández-Rodríguez, Pablo Carmona-Martínez, Rafaela Benítez-Rochel, Miguel A. Molina-Cabello, Ezequiel López-Rubio:
Unsupervised Detection of Incoming and Outgoing Traffic Flows in Video Sequences. IWINAC (2) 2024: 3-12 - [c81]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
- [j87]Rosa Maza-Quiroga, Karl Thurnhofer-Hemsi, Domingo López-Rodríguez, Ezequiel López-Rubio:
Regression of the Rician Noise Level in 3D Magnetic Resonance Images from the Distribution of the First Significant Digit. Axioms 12(12): 1117 (2023) - [j86]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) - [j85]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) - [j84]Jose David Fernández Rodriguez, Jorge García-González, Rafaela Benítez-Rochel, Miguel A. Molina-Cabello, Gonzalo Ramos-Jiménez, Ezequiel López-Rubio:
Automated detection of vehicles with anomalous trajectories in traffic surveillance videos. Integr. Comput. Aided Eng. 30(3): 293-309 (2023) - [j83]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) - [j82]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) - [j81]Ricardo Javier Fuentes-Fino, Saúl Calderón Ramírez, Enrique Domínguez, Ezequiel López-Rubio, David A. Elizondo, Miguel A. Molina-Cabello:
An uncertainty estimator method based on the application of feature density to classify mammograms for breast cancer detection. Neural Comput. Appl. 35(30): 22151-22161 (2023) - [j80]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) - [j79]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) - [j78]Saúl Calderón Ramírez, Luis Oala, Jordina Torrents-Barrena, Shengxiang Yang, David A. Elizondo, Armaghan Moemeni, Simon Colreavy-Donnelly, Wojciech Samek, Miguel A. Molina-Cabello, Ezequiel López-Rubio:
Dataset Similarity to Assess Semisupervised Learning Under Distribution Mismatch Between the Labeled and Unlabeled Datasets. IEEE Trans. Artif. Intell. 4(2): 282-291 (2023) - [c80]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 - [c79]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
- [j77]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) - [c78]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 - [c77]Marcos Sergio Pacheco dos Santos Lima Junior, Jose David Fernández Rodriguez, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio, Enrique Domínguez:
Enhanced Perspective Generation by Consensus of NeX neural models. IJCNN 2022: 1-8 - [c76]Ricardo Javier Fuentes-Fino, Saúl Calderón Ramírez, Enrique Domínguez, Ezequiel López-Rubio, Marco A. Hernandez-Vasquez, Miguel A. Molina-Cabello:
Feature Density as an Uncertainty Estimator Method in the Binary Classification Mammography Images Task for a Supervised Deep Learning Model. IWBBIO (2) 2022: 375-388 - [c75]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 - [c74]José M. Pérez-Bravo, José A. Rodríguez-Rodríguez, Jorge García-González, Miguel A. Molina-Cabello, Karl Thurnhofer-Hemsi, Ezequiel López-Rubio:
Encoding Generative Adversarial Networks for Defense Against Image Classification Attacks. IWINAC (1) 2022: 163-172 - [c73]Jose D. Fernández, Jorge García-González, Rafaela Benítez-Rochel, Miguel A. Molina-Cabello, Ezequiel López-Rubio:
Anomalous Trajectory Detection for Automated Traffic Video Surveillance. IWINAC (1) 2022: 173-182 - [c72]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 - [c71]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 - [c70]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
- [j76]Saúl Calderón Ramírez, Shengxiang Yang, Armaghan Moemeni, Simon Colreavy-Donnelly, David A. Elizondo, Luis Oala, Jorge Rodríguez-Capitán, Manuel Jiménez-Navarro, Ezequiel López-Rubio, Miguel A. Molina-Cabello:
Improving Uncertainty Estimation With Semi-Supervised Deep Learning for COVID-19 Detection Using Chest X-Ray Images. IEEE Access 9: 85442-85454 (2021) - [j75]Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Enrique Domínguez, David A. Elizondo:
Skin Lesion Classification by Ensembles of Deep Convolutional Networks and Regularly Spaced Shifting. IEEE Access 9: 112193-112205 (2021) - [j74]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) - [j73]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) - [j72]Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Elidia Beatriz Blázquez-Parra, M. Carmen Ladrón-de-Guevara-Muñoz, Óscar David de Cózar-Macías:
Ensemble ellipse fitting by spatial median consensus. Inf. Sci. 579: 310-324 (2021) - [j71]Ezequiel López-Rubio, Emanuele Ratti:
Data science and molecular biology: prediction and mechanistic explanation. Synth. 198(4): 3131-3156 (2021) - [j70]Ezequiel López-Rubio:
Throwing light on black boxes: emergence of visual categories from deep learning. Synth. 198(10): 10021-10041 (2021) - [c69]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 - [c68]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 - [c67]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 - [c66]Safa Hamreras, Bachir Boucheham, Miguel A. Molina-Cabello, Rafaela Benítez-Rochel, Ezequiel López-Rubio:
Dynamic selection of classifiers for Content Based Image Retrieval. IJCNN 2021: 1-8 - [c65]Miguel A. Molina-Cabello, José A. Rodríguez-Rodríguez, Karl Thurnhofer-Hemsi, Ezequiel López-Rubio:
Histopathological image analysis for breast cancer diagnosis by ensembles of convolutional neural networks and genetic algorithms. IJCNN 2021: 1-8 - [c64]Saúl Calderón Ramírez, Diego Murillo-Hernandez, Kevin Rojas-Salazar, Luis-Alexander Calvo-Valverde, Shengxiang Yang, Armaghan Moemeni, David A. Elizondo, Ezequiel López-Rubio, Miguel A. Molina-Cabello:
Improving Uncertainty Estimations for Mammogram Classification using Semi-Supervised Learning. IJCNN 2021: 1-8 - [c63]José A. Rodríguez-Rodríguez, Miguel A. Molina-Cabello, Rafaela Benítez-Rochel, Ezequiel López-Rubio:
Test time augmentation by regular shifting for deep denoising autoencoder networks. IJCNN 2021: 1-7 - [c62]Karl Thurnhofer-Hemsi, Rosa Maza-Quiroga, Enrique Domínguez, Miguel A. Molina-Cabello, Ezequiel López-Rubio:
Enhanced transfer learning model by image shifting on a square lattice for skin lesion malignancy assessment. IJCNN 2021: 1-7 - [c61]José Miguel López-Rubio, Miguel A. Molina-Cabello, Gonzalo Ramos-Jiménez, Ezequiel López-Rubio:
Classification of Images as Photographs or Paintings by Using Convolutional Neural Networks. IWANN (1) 2021: 432-442 - [c60]Rosa Maza-Quiroga, Karl Thurnhofer-Hemsi, Domingo López-Rodríguez, Ezequiel López-Rubio:
Rician Noise Estimation for 3D Magnetic Resonance Images Based on Benford's Law. MICCAI (6) 2021: 340-349 - [c59]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 - [c58]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 - [i2]Iván García, Rafael Marcos Luque, Ezequiel López-Rubio:
Improved detection of small objects in road network sequences. CoRR abs/2105.08416 (2021) - 2020
- [j69]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) - [j68]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) - [j67]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) - [j66]Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Núria Roé-Vellvé, Miguel A. Molina-Cabello:
Multiobjective optimization of deep neural networks with combinations of Lp-norm cost functions for 3D medical image super-resolution. Integr. Comput. Aided Eng. 27(3): 233-251 (2020) - [j65]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) - [j64]Safa Hamreras, Bachir Boucheham, Miguel A. Molina-Cabello, Rafaela Benítez-Rochel, Ezequiel López-Rubio:
Content based image retrieval by ensembles of deep learning object classifiers. Integr. Comput. Aided Eng. 27(3): 317-331 (2020) - [j63]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) - [j62]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) - [j61]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) - [j60]Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Elidia Beatriz Blázquez-Parra, M. Carmen Ladrón-de-Guevara-Muñoz, Óscar David de Cózar-Macías:
Ellipse fitting by spatial averaging of random ensembles. Pattern Recognit. 106: 107406 (2020) - [j59]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) - [c57]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 - [c56]Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Núria Roé-Vellvé, Lipika Deka:
Super-Resolution of 3D MRI Corrupted by Heavy Noise With the Median Filter Transform. ICIP 2020: 3015-3019 - [c55]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 - [c54]José A. Rodríguez-Rodríguez, Miguel A. Molina-Cabello, Rafaela Benítez-Rochel, Ezequiel López-Rubio:
The Impact of Linear Motion Blur on the Object Recognition Efficiency of Deep Convolutional Neural Networks. ICPR Workshops (6) 2020: 611-622 - [c53]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 - [c52]José A. Rodríguez-Rodríguez, Miguel A. Molina-Cabello, Rafaela Benítez-Rochel, Ezequiel López-Rubio:
The Effect of Noise and Brightness on Convolutional Deep Neural Networks. ICPR Workshops (6) 2020: 639-654 - [c51]José A. Rodríguez-Rodríguez, Miguel A. Molina-Cabello, Rafaela Benítez-Rochel, Ezequiel López-Rubio:
The effect of image enhancement algorithms on convolutional neural networks. ICPR 2020: 3084-3089 - [c50]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 - [i1]Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Miguel A. Molina-Cabello, Kayvan Najarian:
Radial basis function kernel optimization for Support Vector Machine classifiers. CoRR abs/2007.08233 (2020)
2010 – 2019
- 2019
- [j58]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) - [j57]Ezequiel López-Rubio, Francisco Ortega-Zamorano, Enrique Domínguez, José Muñoz-Pérez:
Piecewise Polynomial Activation Functions for Feedforward Neural Networks. Neural Process. Lett. 50(1): 121-147 (2019) - [j56]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) - [c49]Enrique Domínguez, Ezequiel López-Rubio, Miguel A. Molina-Cabello:
Cooperative Evaluation Using Moodle. CISIS-ICEUTE 2019: 295-301 - [c48]Can Cui, Karl Thurnhofer-Hemsi, Reza Soroushmehr, Abinash Mishra, Jonathan Gryak, Enrique Domínguez, Kayvan Najarian, Ezequiel López-Rubio:
Diabetic Wound Segmentation using Convolutional Neural Networks. EMBC 2019: 1002-1005 - [c47]Miguel A. Molina-Cabello, Cristian Accino, Ezequiel López-Rubio, Karl Thurnhofer-Hemsi:
Optimization of Convolutional Neural Network Ensemble Classifiers by Genetic Algorithms. IWANN (2) 2019: 163-173 - [c46]Safa Hamreras, Rafaela Benítez-Rochel, Bachir Boucheham, Miguel A. Molina-Cabello, Ezequiel López-Rubio:
Content Based Image Retrieval by Convolutional Neural Networks. IWINAC (2) 2019: 277-286 - [c45]Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Núria Roé-Vellvé, Miguel A. Molina-Cabello:
Deep Learning Networks with p-norm Loss Layers for Spatial Resolution Enhancement of 3D Medical Images. IWINAC (2) 2019: 287-296 - [c44]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 - [c43]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
- [j55]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) - [j54]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) - [j53]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) - [j52]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) - [j51]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) - [j50]Ezequiel López-Rubio, Esteban J. Palomo, Francisco Ortega-Zamorano:
Unsupervised learning by cluster quality optimization. Inf. Sci. 436-437: 31-55 (2018) - [j49]Ezequiel López-Rubio:
Computational Functionalism for the Deep Learning Era. Minds Mach. 28(4): 667-688 (2018) - [j48]Ezequiel López-Rubio, Karl Thurnhofer-Hemsi, Elidia Beatriz Blázquez-Parra, Óscar David de Cózar-Macías, M. Carmen Ladrón-de-Guevara-Muñoz:
A fast robust geometric fitting method for parabolic curves. Pattern Recognit. 84: 301-316 (2018) - [c42]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 - [c41]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 - [c40]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 - [c39]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 - [c38]Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Núria Roé-Vellvé, Enrique Domínguez, Miguel A. Molina-Cabello:
Super-resolution of 3D Magnetic Resonance Images by Random Shifting and Convolutional Neural Networks. IJCNN 2018: 1-8 - [c37]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 - [c36]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
- [j47]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) - [j46]Jesús Benito-Picazo, Ezequiel López-Rubio, Enrique Domínguez:
Growing Neural Forest-Based Color Quantization Applied to RGB Images. Int. J. Comput. Vis. Image Process. 7(3): 13-25 (2017) - [j45]Ezequiel López-Rubio, Karl Thurnhofer-Hemsi, Óscar David de Cózar-Macías, Elidia Beatriz Blázquez-Parra, José Muñoz-Pérez, I. Ladrón de Guevara-López:
Robust Fitting of Ellipsoids by Separating Interior and Exterior Points During Optimization. J. Math. Imaging Vis. 58(2): 189-210 (2017) - [j44]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) - [j43]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) - [c35]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 - [c34]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 - [c33]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 - [c32]Esteban José Palomo, Jesús Benito-Picazo, Ezequiel López-Rubio, Enrique Domínguez:
Unsupervised Color Quantization with the Growing Neural Forest. IWANN (2) 2017: 306-316 - [c31]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 - [c30]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 - [c29]Enrique Domínguez, Ezequiel López-Rubio:
Developing Cooperative Evaluation Methodologies in Higher Education. SOCO-CISIS-ICEUTE 2017: 706-711 - 2016
- [j42]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) - [j41]Esteban José Palomo, Ezequiel López-Rubio:
Learning Topologies with the Growing Neural Forest. Int. J. Neural Syst. 26(4): 1650019:1-1650019:21 (2016) - [j40]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) - [j39]Ezequiel López-Rubio:
Superresolution from a Single Noisy Image by the Median Filter Transform. SIAM J. Imaging Sci. 9(1): 82-115 (2016) - [c28]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 - [c27]Esteban J. Palomo, Ezequiel López-Rubio:
Extended abstract: A color quantization approach based on the Growing Neural Forest. LA-CCI 2016: 1-2 - [c26]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
- [j38]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) - [j37]Francisco Javier López-Rubio, Ezequiel López-Rubio:
Features for stochastic approximation based foreground detection. Comput. Vis. Image Underst. 133: 30-50 (2015) - [j36]Ezequiel López-Rubio, Esteban J. Palomo, Enrique Domínguez:
Robust self-organization with M-estimators. Neurocomputing 151: 408-423 (2015) - [j35]Ezequiel López-Rubio, José Muñoz-Pérez:
Probability density function estimation with the frequency polygon transform. Inf. Sci. 298: 136-158 (2015) - [j34]Francisco Javier López-Rubio, Ezequiel López-Rubio:
Local color transformation analysis for sudden illumination change detection. Image Vis. Comput. 37: 31-47 (2015) - [j33]Francisco Javier López-Rubio, Ezequiel López-Rubio:
Foreground detection for moving cameras with stochastic approximation. Pattern Recognit. Lett. 68: 161-168 (2015) - [j32]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) - [c25]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
- [j31]Ezequiel López-Rubio, Esteban José Palomo, Enrique Domínguez:
Bregman Divergences for Growing Hierarchical Self-Organizing Networks. Int. J. Neural Syst. 24(4) (2014) - [j30]Ezequiel López-Rubio, Antonio Díaz Ramos:
Grid topologies for the self-organizing map. Neural Networks 56: 35-48 (2014) - [j29]Ezequiel López-Rubio:
A Histogram Transform for ProbabilityDensity Function Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 36(4): 644-656 (2014) - [j28]Ezequiel López-Rubio, Rafael Marcos Luque Baena:
An adaptive system for compressed video deblocking. Signal Process. 103: 415-425 (2014) - [c24]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
- [j27]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) - [j26]María Nieves Florentín-Núñez, Ezequiel López-Rubio, Francisco Javier López-Rubio:
Adaptive kernel regression and probabilistic self-organizing maps for JPEG image deblocking. Neurocomputing 121: 32-39 (2013) - [j25]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) - [j24]Ezequiel López-Rubio:
Improving the Quality of Self-Organizing Maps by Self-Intersection Avoidance. IEEE Trans. Neural Networks Learn. Syst. 24(8): 1253-1265 (2013) - [c23]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 - [c22]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
- [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
- [j23]Ezequiel López-Rubio, Rafael Marcos Luque Baena:
Stochastic approximation for background modelling. Comput. Vis. Image Underst. 115(6): 735-749 (2011) - [j22]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) - [j21]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) - [j20]Ezequiel López-Rubio:
Stochastic approximation learning for mixtures of multivariate elliptical distributions. Neurocomputing 74(17): 2972-2984 (2011) - [j19]Ezequiel López-Rubio, María Nieves Florentín-Núñez:
Kernel regression based feature extraction for 3D MR image denoising. Medical Image Anal. 15(4): 498-513 (2011) - [j18]Ezequiel López-Rubio, Esteban J. Palomo:
Growing Hierarchical Probabilistic Self-Organizing Graphs. IEEE Trans. Neural Networks 22(7): 997-1008 (2011) - [c21]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 - [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 - [c19]María Nieves Florentín-Núñez, Ezequiel López-Rubio, Francisco Javier López-Rubio:
Reduction of JPEG Compression Artifacts by Kernel Regression and Probabilistic Self-Organizing Maps. IWANN (2) 2011: 34-41 - 2010
- [j17]Ezequiel López-Rubio:
Probabilistic self-organizing maps for qualitative data. Neural Networks 23(10): 1208-1225 (2010) - [j16]Ezequiel López-Rubio:
Restoration of images corrupted by Gaussian and uniform impulsive noise. Pattern Recognit. 43(5): 1835-1846 (2010) - [j15]Ezequiel López-Rubio:
Probabilistic self-organizing maps for continuous data. IEEE Trans. Neural Networks 21(10): 1543-1554 (2010)
2000 – 2009
- 2009
- [j14]Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato:
Dynamic Competitive Probabilistic Principal Components Analysis. Int. J. Neural Syst. 19(2): 91-103 (2009) - [j13]Ezequiel López-Rubio:
Robust Location and Spread Measures for Nonparametric Probability Density Function Estimation. Int. J. Neural Syst. 19(5): 345-357 (2009) - [j12]Ezequiel López-Rubio:
Multivariate Student-t self-organizing maps. Neural Networks 22(10): 1432-1447 (2009) - [j11]Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato:
Automatic Model Selection by Cross-Validation for Probabilistic PCA. Neural Process. Lett. 30(2): 113-132 (2009) - [j10]Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez:
Probabilistic PCA Self-Organizing Maps. IEEE Trans. Neural Networks 20(9): 1474-1489 (2009) - [c18]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 - [c17]Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, María del Carmen Vargas-González:
Nonparametric Location Estimation for Probability Density Function Learning. IWANN (1) 2009: 106-113 - [c16]Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, María del Carmen Vargas-González:
Probabilistic Self-Organizing Graphs. IWANN (1) 2009: 180-187 - 2008
- [j9]Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato:
Soft clustering for nonparametric probability density function estimation. Pattern Recognit. Lett. 29(16): 2085-2091 (2008) - [c15]Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, María del Carmen Vargas-González:
Robust Nonparametric Probability Density Estimation by Soft Clustering. ICANN (1) 2008: 155-164 - 2007
- [c14]José Antonio Gómez-Ruiz, José Muñoz-Pérez, M. Angeles García-Bernal, Ezequiel López-Rubio:
Spicules-based competitive neural network. ESANN 2007: 525-530 - [c13]Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, María del Carmen Vargas-González:
Soft Clustering for Nonparametric Probability Density Function Estimation. ICANN (1) 2007: 707-716 - [c12]Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, María del Carmen Vargas-González:
Automatic Model Selection for Probabilistic PCA. IWANN 2007: 127-134 - [c11]Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, María del Carmen Vargas-González:
Self-organization of Probabilistic PCA Models. IWANN 2007: 211-218 - 2006
- [c10]Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, Enrique Mérida Casermeiro, María del Carmen Vargas-González:
Global-local learning strategies in probabilistic principal components analysis. Artificial Intelligence and Soft Computing 2006: 46-51 - [c9]Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, Enrique Mérida Casermeiro, María del Carmen Vargas-González:
Local Selection of Model Parameters in Probability Density Function Estimation. ICANN (2) 2006: 292-301 - [c8]Domingo López-Rodríguez, Enrique Mérida Casermeiro, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio:
Image Compression by Vector Quantization with Recurrent Discrete Networks. ICANN (2) 2006: 595-605 - 2005
- [c7]Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, María del Carmen Vargas-González, José Miguel López-Rubio:
Intrinsic Dimensionality Maps with the PCASOM. IWANN 2005: 750-757 - 2004
- [j8]Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, José Muñoz-Pérez, José Antonio Gómez-Ruiz:
Principal Components Analysis Competitive Learning. Neural Comput. 16(11): 2459-2481 (2004) - [j7]Ezequiel López-Rubio, José Muñoz-Pérez, José Antonio Gómez-Ruiz:
A principal components analysis self-organizing map. Neural Networks 17(2): 261-270 (2004) - [c6]Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, María del Carmen Vargas-González, José Miguel López-Rubio:
Dynamic Selection of Model Parameters in Principal Components Analysis Neural Networks. ECAI 2004: 618-622 - 2003
- [j6]Ezequiel López-Rubio, José Muñoz-Pérez, José Antonio Gómez-Ruiz:
A four-stage system for blind colour image segmentation. Integr. Comput. Aided Eng. 10(2): 127-137 (2003) - [j5]Ezequiel López-Rubio, José Muñoz-Pérez, José Antonio Gómez-Ruiz, Enrique Domínguez Merino:
New learning rules for the ASSOM network. Neural Comput. Appl. 12(2): 109-118 (2003) - [c5]Ezequiel López-Rubio, José Muñoz-Pérez, José Antonio Gómez-Ruiz:
Principal Components Analysis Competitive Learning. IWANN (1) 2003: 318-325 - 2002
- [j4]José Antonio Gómez-Ruiz, José Muñoz-Pérez, M. Angeles García-Bernal, Ezequiel López-Rubio:
Detección de esqueletos de caracteres mediante una red neuronal competitiva basada en segmentos. Inteligencia Artif. 6(17): 7-22 (2002) - [j3]José Muñoz-Pérez, José Antonio Gómez-Ruiz, Ezequiel López-Rubio, M. Angeles García-Bernal:
Expansive and Competitive Learning for Vector Quantization. Neural Process. Lett. 15(3): 261-273 (2002) - [j2]Ezequiel López-Rubio, José Muñoz-Pérez, José Antonio Gómez-Ruiz:
Self Organizing Dynamic Graphs. Neural Process. Lett. 16(2): 93-109 (2002) - [c4]Ezequiel López-Rubio, José Muñoz-Pérez, José Antonio Gómez-Ruiz:
The Principal Components Analysis Self-Organizing Map. ICANN 2002: 865-870 - 2001
- [j1]Ezequiel López-Rubio, José Muñoz-Pérez, José Antonio Gómez-Ruiz:
Invariant pattern identification by self-organising networks. Pattern Recognit. Lett. 22(9): 983-990 (2001) - [c3]Ezequiel López-Rubio, José Muñoz-Pérez, José Antonio Gómez-Ruiz:
Dynamic Topology Networks for Colour Image Compression. IWANN (2) 2001: 168-175 - [c2]José Antonio Gómez-Ruiz, José Muñoz-Pérez, Ezequiel López-Rubio, M. Angeles García-Bernal:
Expansive and Competitive Neural Networks. IWANN (1) 2001: 355-362 - 2000
- [c1]Ezequiel López-Rubio, José Muñoz-Pérez, José Antonio Gómez-Ruiz:
A Robust Two-Stage System for Image Segmentation. ICPR 2000: 1606-1609
Coauthor Index
[j89] [c81] [j86] [j82] [j80] [j79] [c80] [j77] [c78] [c75] [c72] [c70] [j74] [j73] [c58] [i2] [j69] [j68] [j67] [j65] [j62] [c57] [c55] [c53] [c50] [j56] [c44] [j55] [j54] [j53] [j52] [j51] [c42] [c40] [c39] [c37] [c36] [j47] [j44] [c35] [c34] [c33] [c31] [j40] [c28] [c26] [j38] [j32] [c25] [j28] [c24] [j27] [j25] [c23] [c22] [p1] [j23] [j22] [c21] [c20] [c18]
[j89] [j86] [j83] [j81] [j79] [c80] [c79] [c77] [c76] [c70] [j75] [c69] [c68] [c67] [c62] [c59] [j63] [j62] [j58] [j57] [c49] [c48] [c43] [j55] [j54] [j52] [j51] [c41] [c38] [c37] [j47] [j46] [j44] [c35] [c34] [c33] [c32] [c30] [c29] [j40] [c28] [c26] [j36] [j32] [c25] [j31] [c24] [j25] [c23] [c22] [j22] [c20]
[j88] [c83] [c82] [j84] [j81] [j78] [c76] [c74] [c73] [j76] [j74] [j73] [c69] [c68] [c66] [c65] [c64] [c63] [c62] [c61] [j69] [j68] [j67] [j66] [j64] [c55] [c54] [c53] [c52] [c51] [c50] [i1] [j56] [c49] [c47] [c46] [c45] [j55] [j54] [j53] [j52] [j51] [c42] [c40] [c39] [c38] [c37] [c36] [j47] [c35] [c34] [c33] [c31] [j42] [c28] [c26]
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