Ezequiel López-Rubio

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 117

Top Venues

IJCNN

Integr. Comput. Aided Eng.

IWINAC (2)

IWINAC (1)

Publications

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)
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 (2024)
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)
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) (2024)
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)
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) (2023)
Jesús Benito-Picazo, Jose David Fernández Rodríguez, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio
Parallel Processing Applied to Object Detection with a Jetson TX2 Embedded System. SOCO (2) (2023)
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) (2023)
José David Fernández-Rodríguez, Esteban J. Palomo, Jesús Benito-Picazo, Enrique Domínguez, Ezequiel López-Rubio, Francisco Ortega-Zamorano
A convolutional autoencoder and a neural gas model based on Bregman divergences for hierarchical color quantization. Neurocomputing 544 (2023)
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 (2023)
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) (2023)
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) (2023)
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) (2023)
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) (2023)
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) (2023)
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) (2023)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
Jorge García-Gozález, 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)
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)
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)
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)
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)
Ezequiel López-Rubio, Emanuele Ratti
Data science and molecular biology: prediction and mechanistic explanation. Synth. 198 (4) (2021)
Ezequiel López-Rubio
Throwing light on black boxes: emergence of visual categories from deep learning. Synth. 198 (10) (2021)
Iván García, Rafael Marcos Luque, Ezequiel López-Rubio
Improved detection of small objects in road network sequences. CoRR (2021)
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)
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)
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 (2021)
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)
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)
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) (2021)
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 (2021)
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)
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 (2021)
Saúl Calderón Ramírez, Diego Murillo-Hernandez, Kevin Rojas-Salazar, Luis-Alexander Calvo-Valverd, 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)
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 (2021)
Jesús Benito-Picazo, Enrique Domínguez, Esteban J. Palomo, Gonzalo Ramos-Jiménez, Ezequiel López-Rubio
Deep learning-based anomalous object detection system for panoramic cameras managed by a Jetson TX2 board. IJCNN (2021)
Esteban J. Palomo, Ezequiel López-Rubio, Francisco Ortega-Zamorano, Rafaela Benítez-Rochel
Exploratory Data Analysis and Foreground Detection with the Growing Hierarchical Neural Forest. Neural Process. Lett. 52 (3) (2020)
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) (2020)
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)
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)
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) (2020)
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) (2020)
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)
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 (2020)
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) (2020)
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 (2020)
Antonio Díaz Ramos, Ezequiel López-Rubio, Esteban J. Palomo
The Forbidden Region Self-Organizing Map Neural Network. IEEE Trans. Neural Networks Learn. Syst. 31 (1) (2020)
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)
Jesús Benito-Picazo, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio
Deep learning-based video surveillance system managed by low cost hardware and panoramic cameras. Integr. Comput. Aided Eng. 27 (4) (2020)
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)
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)
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)
Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Miguel A. Molina-Cabello, Kayvan Najarian
Radial basis function kernel optimization for Support Vector Machine classifiers. CoRR (2020)
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 (2020)
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)
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 (2020)
Ezequiel López-Rubio, Francisco Ortega-Zamorano, Enrique Domínguez, José Muñoz-Pérez
Piecewise Polynomial Activation Functions for Feedforward Neural Networks. Neural Process. Lett. 50 (1) (2019)
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)
Enrique Domínguez, Ezequiel López-Rubio, Miguel A. Molina-Cabello
Cooperative Evaluation Using Moodle. CISIS-ICEUTE (2019)
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)
Jesús Benito-Picazo, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato
Motion detection with low cost hardware for PTZ cameras. Integr. Comput. Aided Eng. 26 (1) (2019)
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 (2019)
Jesús Benito-Picazo, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio
Deep Learning-Based Security System Powered by Low Cost Hardware and Panoramic Cameras. IWINAC (2) (2019)
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)
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)
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)
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)
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)
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)
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)
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)
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)
Ezequiel López-Rubio
Computational Functionalism for the Deep Learning Era. Minds Mach. 28 (4) (2018)
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) (2018)
Ezequiel López-Rubio, Esteban J. Palomo, Francisco Ortega-Zamorano
Unsupervised learning by cluster quality optimization. Inf. Sci. (2018)
Rafael Marcos Luque Baena, Miguel A. Molina-Cabello, Ezequiel López-Rubio, Enrique Domínguez
Foreground Detection Enhancement Using Pearson Correlation Filtering. IPMU (3) (2018)
Miguel A. Molina-Cabello, Ezequiel López-Rubio, Rafael M. Luque-Baena, Enrique Domínguez, Esteban J. Palomo
Foreground object detection for video surveillance by fuzzy logic based estimation of pixel illumination states. Log. J. IGPL 26 (6) (2018)
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)
Francisco Javier López-Rubio, Ezequiel López-Rubio, Miguel A. Molina-Cabello, Rafael Marcos Luque Baena, Esteban J. Palomo, Enrique Domínguez
The effect of noise on foreground detection algorithms. Artif. Intell. Rev. 49 (3) (2018)
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) (2018)
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 (2018)
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) (2017)
Ezequiel López-Rubio, Rafael M. Luque-Baena, Esteban J. Palomo, Enrique Domínguez
Dynamic tree topology learning by self-organization. Neural Comput. Appl. 28 (5) (2017)
Miguel A. Molina-Cabello, Rafael Marcos Luque Baena, Ezequiel López-Rubio, Karl Thurnhofer-Hemsi
Vehicle Type Detection by Convolutional Neural Networks. IWINAC (2) (2017)
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) (2017)
Enrique Domínguez, Ezequiel López-Rubio
Developing Cooperative Evaluation Methodologies in Higher Education. SOCO-CISIS-ICEUTE (2017)
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)
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) (2017)
Esteban J. Palomo, Ezequiel López-Rubio
The Growing Hierarchical Neural Gas Self-Organizing Neural Network. IEEE Trans. Neural Networks Learn. Syst. 28 (9) (2017)
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)

Ezequiel López-Rubio.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Ezequiel López-Rubio