Ezequiel López-Rubio

194 papers A 2B 22C 2Misc 4Journal 107Unranked 56
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive image enhancement for robust CNN classification under low illumination.
Expert Syst. Appl.
José A. Rodríguez-Rodríguez, Ezequiel López-Rubio, Salvador Jiménez-Segura, Miguel A. Molina-Cabello
2026 J jnl
Enhanced QKNorm normalization for neural transformers with the Lp norm.
CoRR
Ezequiel López-Rubio, Javier Montes-Perez, Esteban José Palomo
2026 J jnl
Instruction Set and Language for Symbolic Regression.
CoRR
Ezequiel López-Rubio, Mario Pascual-González
2026 J jnl
Instruction set for the representation of graphs.
CoRR
Ezequiel López-Rubio, Mario Pascual-González
2026 J jnl
Preprocessing strategies and their influence on deep learning-driven MRI segmentation.
Pattern Recognit. Lett.
Ariadna Jiménez-Partinen, Ezequiel López-Rubio, Fátima Nagib-Raya, Esteban J. Palomo, Rafael M. Luque-Baena
2026 J jnl
SLIM-Diff: Shared Latent Image-Mask Diffusion with Lp loss for Data-Scarce Epilepsy FLAIR MRI.
CoRR
Mario Pascual-González, Ariadna Jiménez-Partinen, Rafael M. Luque-Baena, Fátima Nagib-Raya, Ezequiel López-Rubio
2025 J jnl
Alternative positional encoding functions for neural transformers.
CoRR
Ezequiel López-Rubio, Macoris Decena-Gimenez, Rafael Marcos Luque Baena
2025 J jnl
Consensus-Based 3D View Generation from Noisy Images.
Int. J. Neural Syst.
José A. Rodríguez-Rodríguez, Miguel A. Molina-Cabello, Rafaela Benítez-Rochel, Ezequiel López-Rubio
2025 J jnl
Enhanced deep-style interpreter for automatic synthesis of annotated medical images.
Neural Comput. Appl.
Marcos Sergio Pacheco dos Santos Lima Junior, Juan Miguel Ortiz-de-Lazcano-Lobato, José David Fernández-Rodríguez, Ezequiel López-Rubio
2025 J jnl
Enhanced generation of automatically labelled image segmentation datasets by advanced style interpreter deep architectures.
Pattern Recognit. Lett.
Marcos Sergio Pacheco dos Santos Lima Junior, Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, José David Fernández-Rodríguez
2025 J jnl
Hyperparameter optimization of YOLO models for invasive coronary angiography lesion detection and assessment.
Comput. Biol. Medicine
Mario Pascual-González, Ariadna Jiménez-Partinen, Esteban J. Palomo, Ezequiel López-Rubio, Almudena Ortega-Gómez
2025 J jnl
Latent diffusion for arbitrary zoom MRI super-resolution.
Expert Syst. Appl.
Jorge Andrés Mármol-Rivera, José David Fernández-Rodríguez, Beatriz Asenjo, Ezequiel López-Rubio
2025 J jnl
Learning to shape beams: Using a neural network to control a beamforming antenna.
Comput. Networks
José David Fernández-Rodríguez, Iván García Aguilar, Rafael Marcos Luque Baena, Ezequiel López-Rubio, Marcos Baena-Molina, Juan Francisco Valenzuela-Valdés
2025 J jnl
Representation of Molecules by Sequences of Instructions.
J. Chem. Inf. Model.
Karl Thurnhofer-Hemsi, Iván García Aguilar, José David Fernández-Rodríguez, Ezequiel López-Rubio
2025 J jnl
Representation of the structure of graphs by sequences of instructions.
CoRR
Ezequiel López-Rubio
2024 — conf
Automated Semantic Labelling of Images Generated with Deep Diffusion Probabilistic Models.
SOCO (1)
José David Fernández-Rodríguez, Jesús Benito-Picazo, Iván García Aguilar, Ezequiel López-Rubio
2024 J jnl
Detection of dangerously approaching vehicles over onboard cameras by speed estimation from apparent size.
Neurocomputing
Iván García Aguilar, Jorge García-González, Daniel Medina, Rafael Marcos Luque Baena, Enrique Domínguez, Ezequiel López-Rubio
2024 — conf
Early Breast Cancer Detection by Automated Analysis of Mammograms with Deep Convolutional Networks.
SOCO (2)
Guillermo Tell-González, Ezequiel López-Rubio, Rafaela Benítez-Rochel, Miguel A. Molina-Cabello
2024 — conf
Enhanced Cellular Detection Using Convolutional Neural Networks and Sliding Window Super-Resolution Inference.
IWINAC (2)
Iván García Aguilar, Rostyslav Zavoiko, Jose David Fernández Rodriguez, Rafael Marcos Luque Baena, Ezequiel López-Rubio
2024 — conf
Enhancing Echocardiography Quality with Diffusion Neural Models.
IWBBIO (2)
Antonio Fernández-Rodríguez, Ezequiel López-Rubio, Pablo Torres-Salomón, Jorge Rodríguez-Capitán, Manuel Jiménez-Navarro, Miguel A. Molina-Cabello
2024 — conf
Novel Positional Encoding Methods for Neural Rendering.
SOCO (2)
Daniel Molina-Pinel, Jorge García-González, Enrique Domínguez, Ezequiel López-Rubio
2024 J jnl
Semi-Supervised Semantic Image Segmentation by Deep Diffusion Models and Generative Adversarial Networks.
Int. J. Neural Syst.
José Ángel Díaz-Francés, José David Fernández-Rodríguez, Karl Thurnhofer-Hemsi, Ezequiel López-Rubio
2024 J jnl
The Impact of Noise and Brightness on Object Detection Methods.
Sensors
José A. Rodríguez-Rodríguez, Ezequiel López-Rubio, Juan A. Ángel-Ruiz, Miguel A. Molina-Cabello
2024 — conf
Unsupervised Detection of Incoming and Outgoing Traffic Flows in Video Sequences.
IWINAC (2)
José David Fernández-Rodríguez, Pablo Carmona-Martínez, Rafaela Benítez-Rochel, Miguel A. Molina-Cabello, Ezequiel López-Rubio
2023 J jnl
A convolutional autoencoder and a neural gas model based on Bregman divergences for hierarchical color quantization.
Neurocomputing
José David Fernández-Rodríguez, Esteban J. Palomo, Jesús Benito-Picazo, Enrique Domínguez, Ezequiel López-Rubio, Francisco Ortega-Zamorano
2023 J jnl
An uncertainty estimator method based on the application of feature density to classify mammograms for breast cancer detection.
Neural Comput. Appl.
Ricardo Javier Fuentes-Fino, Saúl Calderón Ramírez, Enrique Domínguez, Ezequiel López-Rubio, David A. Elizondo, Miguel A. Molina-Cabello
2023 J jnl
Automated detection of vehicles with anomalous trajectories in traffic surveillance videos.
Integr. Comput. Aided Eng.
Jose David Fernández Rodriguez, Jorge García-González, Rafaela Benítez-Rochel, Miguel A. Molina-Cabello, Gonzalo Ramos-Jiménez, Ezequiel López-Rubio
2023 J jnl
Automated labeling of training data for improved object detection in traffic videos by fine-tuned deep convolutional neural networks.
Pattern Recognit. Lett.
Iván García Aguilar, Jorge García-González, Rafael Marcos Luque Baena, Ezequiel López-Rubio
2023 J jnl
Dataset Similarity to Assess Semisupervised Learning Under Distribution Mismatch Between the Labeled and Unlabeled Datasets.
IEEE Trans. Artif. Intell.
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
2023 J jnl
Dynamic learning rates for continual unsupervised learning.
Integr. Comput. Aided Eng.
José David Fernández-Rodríguez, Esteban José Palomo, Juan Miguel Ortiz-de-Lazcano-Lobato, Gonzalo Ramos-Jiménez, Ezequiel López-Rubio
2023 — conf
Minimal Optimal Region Generation for Enhanced Object Detection in Aerial Images Using Super-Resolution and Convolutional Neural Networks.
IWANN (1)
Iván García Aguilar, Lipika Deka, Rafael Marcos Luque Baena, Enrique Domínguez, Ezequiel López-Rubio
2023 J jnl
Object detection in traffic videos: an optimized approach using super-resolution and maximal clique algorithm.
Neural Comput. Appl.
Iván García Aguilar, Jorge García-González, Rafael Marcos Luque Baena, Ezequiel López-Rubio
2023 J jnl
Optimized instance segmentation by super-resolution and maximal clique generation.
Integr. Comput. Aided Eng.
Iván García Aguilar, Jorge García-González, Rafael M. Luque-Baena, Ezequiel López-Rubio, Enrique Domínguez
2023 — conf
Parallel Processing Applied to Object Detection with a Jetson TX2 Embedded System.
SOCO (2)
Jesús Benito-Picazo, Jose David Fernández Rodriguez, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio
2023 J jnl
Regression of the Rician Noise Level in 3D Magnetic Resonance Images from the Distribution of the First Significant Digit.
Axioms
Rosa Maza-Quiroga, Karl Thurnhofer-Hemsi, Domingo López-Rodríguez, Ezequiel López-Rubio
2023 J jnl
Small-Scale Urban Object Anomaly Detection Using Convolutional Neural Networks with Probability Estimation.
Sensors
Iván García Aguilar, Rafael Marcos Luque Baena, Enrique Domínguez, Ezequiel López-Rubio
2022 — conf
A Novel Continual Learning Approach for Competitive Neural Networks.
IWINAC (1)
Esteban J. Palomo, Juan Miguel Ortiz-de-Lazcano-Lobato, José David Fernández-Rodríguez, Ezequiel López-Rubio, Rosa Maza-Quiroga
2022 — conf
Analysis of Functional Connectome Pipelines for the Diagnosis of Autism Spectrum Disorders.
IWINAC (1)
Clara Jiménez-Valverde, Rosa Maza-Quiroga, Domingo López-Rodríguez, Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Rafael Marcos Luque Baena
2022 — conf
Anomalous Trajectory Detection for Automated Traffic Video Surveillance.
IWINAC (1)
Jose D. Fernández, Jorge García-González, Rafaela Benítez-Rochel, Miguel A. Molina-Cabello, Ezequiel López-Rubio
2022 — conf
Encoding Generative Adversarial Networks for Defense Against Image Classification Attacks.
IWINAC (1)
José M. Pérez-Bravo, José A. Rodríguez-Rodríguez, Jorge García-González, Miguel A. Molina-Cabello, Karl Thurnhofer-Hemsi, Ezequiel López-Rubio
2022 — conf
Enhanced Image Segmentation by a Novel Test Time Augmentation and Super-Resolution.
IWINAC (1)
Iván García Aguilar, Jorge García-González, Rafael Marcos Luque Baena, Ezequiel López-Rubio, Enrique Domínguez Merino
2022 B conf
Enhanced Perspective Generation by Consensus of NeX neural models.
IJCNN
Marcos Sergio Pacheco dos Santos Lima Junior, Jose David Fernández Rodriguez, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio, Enrique Domínguez
2022 — conf
Feature Density as an Uncertainty Estimator Method in the Binary Classification Mammography Images Task for a Supervised Deep Learning Model.
IWBBIO (2)
Ricardo Javier Fuentes-Fino, Saúl Calderón Ramírez, Enrique Domínguez, Ezequiel López-Rubio, Marco A. Hernandez-Vasquez, Miguel A. Molina-Cabello
2022 J jnl
Improved detection of small objects in road network sequences using CNN and super resolution.
Expert Syst. J. Knowl. Eng.
Iván García Aguilar, Rafael Marcos Luque Baena, Ezequiel López-Rubio
2022 B conf
Moving Object Detection in Noisy Video Sequences Using Deep Convolutional Disentangled Representations.
ICIP
Jorge García-González, Rafael M. Luque-Baena, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio
2022 — conf
Vehicle Overtaking Hazard Detection over Onboard Cameras Using Deep Convolutional Networks.
SOCO
Jorge García-González, Iván García Aguilar, Daniel Medina, Rafael Marcos Luque Baena, Ezequiel López-Rubio, Enrique Domínguez
2021 J jnl
Anomalous object detection by active search with PTZ cameras.
Expert Syst. Appl.
Ezequiel López-Rubio, Miguel A. Molina-Cabello, Francisco M. Castro, Rafael M. Luque-Baena, Manuel J. Marín-Jiménez, Nicolás Guil
2021 — conf
Classification of Images as Photographs or Paintings by Using Convolutional Neural Networks.
IWANN (1)
José Miguel López-Rubio, Miguel A. Molina-Cabello, Gonzalo Ramos-Jiménez, Ezequiel López-Rubio
2021 J jnl
Data science and molecular biology: prediction and mechanistic explanation.
Synth.
Ezequiel López-Rubio, Emanuele Ratti
2021 B conf
Deep learning-based anomalous object detection system for panoramic cameras managed by a Jetson TX2 board.
IJCNN
Jesús Benito-Picazo, Enrique Domínguez, Esteban J. Palomo, Gonzalo Ramos-Jiménez, Ezequiel López-Rubio
2021 B conf
Dynamic selection of classifiers for Content Based Image Retrieval.
IJCNN
Safa Hamreras, Bachir Boucheham, Miguel A. Molina-Cabello, Rafaela Benítez-Rochel, Ezequiel López-Rubio
2021 B conf
Enhanced transfer learning model by image shifting on a square lattice for skin lesion malignancy assessment.
IJCNN
Karl Thurnhofer-Hemsi, Rosa Maza-Quiroga, Enrique Domínguez, Miguel A. Molina-Cabello, Ezequiel López-Rubio
2021 J jnl
Ensemble ellipse fitting by spatial median consensus.
Inf. Sci.
Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Elidia Beatriz Blázquez-Parra, M. Carmen Ladrón-de-Guevara-Muñoz, Óscar David de Cózar-Macías
2021 — conf
Foreground Segmentation Improvement by Image Denoising Preprocessing Applied to Noisy Video Sequences.
SOCO
Jorge García-González, Juan Miguel Ortiz-de-Lazcano-Lobato, Rafael Marcos Luque Baena, Ezequiel López-Rubio
2021 — conf
Hierarchical Color Quantization with a Neural Gas Model Based on Bregman Divergences.
SOCO
Esteban J. Palomo, Jesús Benito-Picazo, Enrique Domínguez, Ezequiel López-Rubio, Francisco Ortega-Zamorano
2021 B conf
Histopathological image analysis for breast cancer diagnosis by ensembles of convolutional neural networks and genetic algorithms.
IJCNN
Miguel A. Molina-Cabello, José A. Rodríguez-Rodríguez, Karl Thurnhofer-Hemsi, Ezequiel López-Rubio
2021 J jnl
Improved detection of small objects in road network sequences.
CoRR
Iván García Aguilar, Rafael Marcos Luque, Ezequiel López-Rubio
2021 J jnl
Improving Uncertainty Estimation With Semi-Supervised Deep Learning for COVID-19 Detection Using Chest X-Ray Images.
IEEE Access
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
2021 B conf
Improving Uncertainty Estimations for Mammogram Classification using Semi-Supervised Learning.
IJCNN
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
2021 — conf
Longitudinal Study of the Learning Styles Evolution in Engineering Degrees.
CISIS-ICEUTE
Miguel A. Molina-Cabello, Karl Thurnhofer-Hemsi, Enrique Domínguez, Ezequiel López-Rubio, Esteban J. Palomo
2021 — conf
Peer Assessments in Engineering: A Pilot Project.
CISIS-ICEUTE
Karl Thurnhofer-Hemsi, Miguel A. Molina-Cabello, Esteban J. Palomo, Ezequiel López-Rubio, Enrique Domínguez
2021 — conf
Rician Noise Estimation for 3D Magnetic Resonance Images Based on Benford's Law.
MICCAI (6)
Rosa Maza-Quiroga, Karl Thurnhofer-Hemsi, Domingo López-Rodríguez, Ezequiel López-Rubio
2021 J jnl
Road pollution estimation from vehicle tracking in surveillance videos by deep convolutional neural networks.
Appl. Soft Comput.
Jorge García-González, Miguel A. Molina-Cabello, Rafael M. Luque-Baena, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio
2021 J jnl
Skin Lesion Classification by Ensembles of Deep Convolutional Networks and Regularly Spaced Shifting.
IEEE Access
Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Enrique Domínguez, David A. Elizondo
2021 B conf
Test time augmentation by regular shifting for deep denoising autoencoder networks.
IJCNN
José A. Rodríguez-Rodríguez, Miguel A. Molina-Cabello, Rafaela Benítez-Rochel, Ezequiel López-Rubio
2021 J jnl
Throwing light on black boxes: emergence of visual categories from deep learning.
Synth.
Ezequiel López-Rubio
2020 B conf
Adaptive estimation of optimal color transformations for deep convolutional network based homography estimation.
ICPR
Miguel A. Molina-Cabello, Jorge García-González, Rafael Marcos Luque Baena, Karl Thurnhofer-Hemsi, Ezequiel López-Rubio
2020 J jnl
Aggregation of Convolutional Neural Network Estimations of Homographies by Color Transformations of the Inputs.
IEEE Access
Miguel A. Molina-Cabello, David A. Elizondo, Rafael Marcos Luque Baena, Ezequiel López-Rubio
2020 J jnl
Background subtraction by probabilistic modeling of patch features learned by deep autoencoders.
Integr. Comput. Aided Eng.
Jorge García-González, Juan Miguel Ortiz-de-Lazcano-Lobato, Rafael M. Luque-Baena, Ezequiel López-Rubio
2020 J jnl
Content based image retrieval by ensembles of deep learning object classifiers.
Integr. Comput. Aided Eng.
Safa Hamreras, Bachir Boucheham, Miguel A. Molina-Cabello, Rafaela Benítez-Rochel, Ezequiel López-Rubio
2020 B conf
Deep Autoencoder Architectures For Foreground Object Detection In Video Sequences Based On Probabilistic Mixture Models.
ICIP
Jorge García-González, Miguel A. Molina-Cabello, Rafael M. Luque-Baena, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio
2020 J jnl
Deep learning-based super-resolution of 3D magnetic resonance images by regularly spaced shifting.
Neurocomputing
Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Enrique Domínguez, Rafael Marcos Luque Baena, Núria Roé-Vellvé
2020 J jnl
Deep learning-based video surveillance system managed by low cost hardware and panoramic cameras.
Integr. Comput. Aided Eng.
Jesús Benito-Picazo, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio
2020 J jnl
Ellipse fitting by spatial averaging of random ensembles.
Pattern Recognit.
Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Elidia Beatriz Blázquez-Parra, M. Carmen Ladrón-de-Guevara-Muñoz, Óscar David de Cózar-Macías
2020 J jnl
Exploratory Data Analysis and Foreground Detection with the Growing Hierarchical Neural Forest.
Neural Process. Lett.
Esteban J. Palomo, Ezequiel López-Rubio, Francisco Ortega-Zamorano, Rafaela Benítez-Rochel
2020 A conf
Foreground Detection by Probabilistic Mixture Models Using Semantic Information from Deep Networks.
ECAI
Jorge García-González, Juan Miguel Ortiz-de-Lazcano-Lobato, Rafael M. Luque-Baena, Ezequiel López-Rubio
2020 J jnl
Foreground detection by ensembles of random polygonal tilings.
Expert Syst. Appl.
Miguel A. Molina-Cabello, David A. Elizondo, Rafael M. Luque-Baena, Ezequiel López-Rubio
2020 J jnl
Multiobjective optimization of deep neural networks with combinations of Lp-norm cost functions for 3D medical image super-resolution.
Integr. Comput. Aided Eng.
Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Núria Roé-Vellvé, Miguel A. Molina-Cabello
2020 — conf
Performance of Deep Learning and Traditional Techniques in Single Image Super-Resolution of Noisy Images.
ICPR Workshops (6)
Karl Thurnhofer-Hemsi, Guillermo Ruiz-Álvarez, Rafael Marcos Luque Baena, Miguel A. Molina-Cabello, Ezequiel López-Rubio
2020 J jnl
Radial basis function kernel optimization for Support Vector Machine classifiers.
CoRR
Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Miguel A. Molina-Cabello, Kayvan Najarian
2020 B conf
Super-Resolution of 3D MRI Corrupted by Heavy Noise With the Median Filter Transform.
ICIP
Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Núria Roé-Vellvé, Lipika Deka
2020 — conf
The Effect of Noise and Brightness on Convolutional Deep Neural Networks.
ICPR Workshops (6)
José A. Rodríguez-Rodríguez, Miguel A. Molina-Cabello, Rafaela Benítez-Rochel, Ezequiel López-Rubio
2020 J jnl
The Forbidden Region Self-Organizing Map Neural Network.
IEEE Trans. Neural Networks Learn. Syst.
Antonio Díaz Ramos, Ezequiel López-Rubio, Esteban J. Palomo
2020 — conf
The Impact of Linear Motion Blur on the Object Recognition Efficiency of Deep Convolutional Neural Networks.
ICPR Workshops (6)
José A. Rodríguez-Rodríguez, Miguel A. Molina-Cabello, Rafaela Benítez-Rochel, Ezequiel López-Rubio
2020 J jnl
The effect of downsampling-upsampling strategy on foreground detection algorithms.
Artif. Intell. Rev.
Miguel A. Molina-Cabello, Jorge García-González, Rafael M. Luque-Baena, Ezequiel López-Rubio
2020 B conf
The effect of image enhancement algorithms on convolutional neural networks.
ICPR
José A. Rodríguez-Rodríguez, Miguel A. Molina-Cabello, Rafaela Benítez-Rochel, Ezequiel López-Rubio
2019 — conf
Background Modeling by Shifted Tilings of Stacked Denoising Autoencoders.
IWINAC (2)
Jorge García-González, Juan Miguel Ortiz-de-Lazcano-Lobato, Rafael M. Luque-Baena, Ezequiel López-Rubio
2019 — conf
Content Based Image Retrieval by Convolutional Neural Networks.
IWINAC (2)
Safa Hamreras, Rafaela Benítez-Rochel, Bachir Boucheham, Miguel A. Molina-Cabello, Ezequiel López-Rubio
2019 — conf
Cooperative Evaluation Using Moodle.
CISIS-ICEUTE
Enrique Domínguez, Ezequiel López-Rubio, Miguel A. Molina-Cabello
2019 — conf
Deep Learning Networks with p-norm Loss Layers for Spatial Resolution Enhancement of 3D Medical Images.
IWINAC (2)
Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Núria Roé-Vellvé, Miguel A. Molina-Cabello
2019 — conf
Deep Learning-Based Security System Powered by Low Cost Hardware and Panoramic Cameras.
IWINAC (2)
Jesús Benito-Picazo, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio
2019 — conf
Diabetic Wound Segmentation using Convolutional Neural Networks.
EMBC
Can Cui, Karl Thurnhofer-Hemsi, Reza Soroushmehr, Abinash Mishra, Jonathan Gryak, Enrique Domínguez, Kayvan Najarian, Ezequiel López-Rubio
2019 J jnl
Foreground detection by probabilistic modeling of the features discovered by stacked denoising autoencoders in noisy video sequences.
Pattern Recognit. Lett.
Jorge García-González, Juan Miguel Ortiz-de-Lazcano-Lobato, Rafael M. Luque-Baena, Miguel A. Molina-Cabello, Ezequiel López-Rubio
2019 J jnl
Motion detection with low cost hardware for PTZ cameras.
Integr. Comput. Aided Eng.
Jesús Benito-Picazo, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato
2019 — conf
Optimization of Convolutional Neural Network Ensemble Classifiers by Genetic Algorithms.
IWANN (2)
Miguel A. Molina-Cabello, Cristian Accino, Ezequiel López-Rubio, Karl Thurnhofer-Hemsi
2019 J jnl
Piecewise Polynomial Activation Functions for Feedforward Neural Networks.
Neural Process. Lett.
Ezequiel López-Rubio, Francisco Ortega-Zamorano, Enrique Domínguez, José Muñoz-Pérez
2018 B conf
A New Self-Organizing Neural Gas Model based on Bregman Divergences.
IJCNN
Esteban J. Palomo, Miguel A. Molina-Cabello, Ezequiel López-Rubio, Rafael Marcos Luque Baena
2018 J jnl
A fast robust geometric fitting method for parabolic curves.
Pattern Recognit.
Ezequiel López-Rubio, Karl Thurnhofer-Hemsi, Elidia Beatriz Blázquez-Parra, Óscar David de Cózar-Macías, M. Carmen Ladrón-de-Guevara-Muñoz
2018 — conf
Background Modeling for Video Sequences by Stacked Denoising Autoencoders.
CAEPIA
Jorge García-González, Juan Miguel Ortiz-de-Lazcano-Lobato, Rafael M. Luque-Baena, Miguel A. Molina-Cabello, Ezequiel López-Rubio
2018 — conf
Blood Cell Classification Using the Hough Transform and Convolutional Neural Networks.
WorldCIST (2)
Miguel A. Molina-Cabello, Ezequiel López-Rubio, Rafael M. Luque-Baena, María Jesús Rodríguez-Espinosa, Karl Thurnhofer-Hemsi
2018 J jnl
Computational Functionalism for the Deep Learning Era.
Minds Mach.
Ezequiel López-Rubio
2018 B conf
Deep learning-based anomalous object detection system powered by microcontroller for PTZ cameras.
IJCNN
Jesús Benito-Picazo, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato
2018 — conf
Foreground Detection Enhancement Using Pearson Correlation Filtering.
IPMU (3)
Rafael Marcos Luque Baena, Miguel A. Molina-Cabello, Ezequiel López-Rubio, Enrique Domínguez
2018 J jnl
Foreground Detection by Competitive Learning for Varying Input Distributions.
Int. J. Neural Syst.
Ezequiel López-Rubio, Miguel A. Molina-Cabello, Rafael Marcos Luque Baena, Enrique Domínguez
2018 J jnl
Foreground object detection for video surveillance by fuzzy logic based estimation of pixel illumination states.
Log. J. IGPL
Miguel A. Molina-Cabello, Ezequiel López-Rubio, Rafael M. Luque-Baena, Enrique Domínguez, Esteban J. Palomo
2018 J jnl
Panorama construction for PTZ camera surveillance with the neural gas network.
Expert Syst. J. Knowl. Eng.
Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Enrique Domínguez, Rafael Marcos Luque Baena, Miguel A. Molina-Cabello
2018 B conf
Road Pollution Estimation Using Static Cameras And Neural Networks.
IJCNN
Miguel A. Molina-Cabello, Rafael Marcos Luque Baena, Ezequiel López-Rubio, Lipika Deka, Karl Thurnhofer-Hemsi
2018 B conf
Super-resolution of 3D Magnetic Resonance Images by Random Shifting and Convolutional Neural Networks.
IJCNN
Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Núria Roé-Vellvé, Enrique Domínguez, Miguel A. Molina-Cabello
2018 J jnl
The effect of noise on foreground detection algorithms.
Artif. Intell. Rev.
Francisco Javier López-Rubio, Ezequiel López-Rubio, Miguel A. Molina-Cabello, Rafael Marcos Luque Baena, Esteban J. Palomo, Enrique Domínguez
2018 J jnl
Unsupervised learning by cluster quality optimization.
Inf. Sci.
Ezequiel López-Rubio, Esteban J. Palomo, Francisco Ortega-Zamorano
2018 J jnl
Vehicle type detection by ensembles of convolutional neural networks operating on super resolved images.
Integr. Comput. Aided Eng.
Miguel A. Molina-Cabello, Rafael Marcos Luque Baena, Ezequiel López-Rubio, Karl Thurnhofer-Hemsi
2017 J jnl
A Growing Neural Gas Approach to Classify Vehicles in Traffic Environments.
Int. J. Comput. Vis. Image Process.
Miguel A. Molina-Cabello, Rafael M. Luque-Baena, Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Enrique Domínguez
2017 — conf
Developing Cooperative Evaluation Methodologies in Higher Education.
SOCO-CISIS-ICEUTE
Enrique Domínguez, Ezequiel López-Rubio
2017 J jnl
Dynamic tree topology learning by self-organization.
Neural Comput. Appl.
Ezequiel López-Rubio, Rafael M. Luque-Baena, Esteban J. Palomo, Enrique Domínguez
2017 J jnl
Growing Neural Forest-Based Color Quantization Applied to RGB Images.
Int. J. Comput. Vis. Image Process.
Jesús Benito-Picazo, Ezequiel López-Rubio, Enrique Domínguez
2017 — conf
Motion Detection by Microcontroller for Panning Cameras.
IWINAC (2)
Jesús Benito-Picazo, Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Enrique Domínguez, Esteban J. Palomo
2017 B conf
Neural controller for PTZ cameras based on nonpanoramic foreground detection.
IJCNN
Miguel A. Molina-Cabello, Ezequiel López-Rubio, Rafael Marcos Luque Baena, Enrique Domínguez, Karl Thurnhofer-Hemsi
2017 B conf
Panoramic background modeling for PTZ cameras with competitive learning neural networks.
IJCNN
Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Enrique Domínguez, Rafael Marcos Luque Baena, Miguel A. Molina-Cabello
2017 J jnl
Robust Fitting of Ellipsoids by Separating Interior and Exterior Points During Optimization.
J. Math. Imaging Vis.
Ezequiel López-Rubio, Karl Thurnhofer-Hemsi, Óscar David de Cózar-Macías, Elidia Beatriz Blázquez-Parra, José Muñoz-Pérez, I. Ladrón de Guevara-López
2017 J jnl
The Growing Hierarchical Neural Gas Self-Organizing Neural Network.
IEEE Trans. Neural Networks Learn. Syst.
Esteban J. Palomo, Ezequiel López-Rubio
2017 — conf
Unsupervised Color Quantization with the Growing Neural Forest.
IWANN (2)
Esteban José Palomo, Jesús Benito-Picazo, Ezequiel López-Rubio, Enrique Domínguez
2017 — conf
Vehicle Classification in Traffic Environments Using the Growing Neural Gas.
IWANN (2)
Miguel A. Molina-Cabello, Rafael Marcos Luque Baena, Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Enrique Domínguez, José Muñoz-Pérez
2017 — conf
Vehicle Type Detection by Convolutional Neural Networks.
IWINAC (2)
Miguel A. Molina-Cabello, Rafael Marcos Luque Baena, Ezequiel López-Rubio, Karl Thurnhofer-Hemsi
2016 — conf
Extended abstract: A color quantization approach based on the Growing Neural Forest.
LA-CCI
Esteban J. Palomo, Ezequiel López-Rubio
2016 — conf
Frame Size Reduction for Foreground Detection in Video Sequences.
CAEPIA
Miguel A. Molina-Cabello, Ezequiel López-Rubio, Rafael Marcos Luque Baena, Esteban J. Palomo, Enrique Domínguez
2016 J jnl
Learning Topologies with the Growing Neural Forest.
Int. J. Neural Syst.
Esteban José Palomo, Ezequiel López-Rubio
2016 — conf
Pixel Features for Self-organizing Map Based Detection of Foreground Objects in Dynamic Environments.
SOCO-CISIS-ICEUTE
Miguel A. Molina-Cabello, Ezequiel López-Rubio, Rafael Marcos Luque Baena, Enrique Domínguez, Esteban J. Palomo
2016 J jnl
Selecting the Color Space for Self-Organizing Map Based Foreground Detection in Video.
Neural Process. Lett.
Francisco Javier López-Rubio, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio, Rafael Marcos Luque Baena
2016 J jnl
Smart motion detection sensor based on video processing using self-organizing maps.
Expert Syst. Appl.
Francisco Ortega-Zamorano, Miguel A. Molina-Cabello, Ezequiel López-Rubio, Esteban J. Palomo
2016 J jnl
Superresolution from a Single Noisy Image by the Median Filter Transform.
SIAM J. Imaging Sci.
Ezequiel López-Rubio
2015 J jnl
A self-organizing map to improve vehicle detection in flow monitoring systems.
Soft Comput.
Rafael Marcos Luque Baena, Ezequiel López-Rubio, Enrique Domínguez, Esteban J. Palomo, José M. Jerez
2015 J jnl
Computational Intelligence Techniques in Medicine.
Comput. Math. Methods Medicine
Ezequiel López-Rubio, David A. Elizondo, Martin Grootveld, José M. Jerez, Rafael M. Luque-Baena
2015 J jnl
Features for stochastic approximation based foreground detection.
Comput. Vis. Image Underst.
Francisco Javier López-Rubio, Ezequiel López-Rubio
2015 J jnl
Foreground detection for moving cameras with stochastic approximation.
Pattern Recognit. Lett.
Francisco Javier López-Rubio, Ezequiel López-Rubio
2015 J jnl
Local color transformation analysis for sudden illumination change detection.
Image Vis. Comput.
Francisco Javier López-Rubio, Ezequiel López-Rubio
2015 J jnl
Probability density function estimation with the frequency polygon transform.
Inf. Sci.
Ezequiel López-Rubio, José Muñoz-Pérez
2015 J jnl
Robust self-organization with M-estimators.
Neurocomputing
Ezequiel López-Rubio, Esteban J. Palomo, Enrique Domínguez
2015 — conf
Visualization of Complex Datasets with the Self-Organizing Spanning Tree.
IWANN (1)
Ezequiel López-Rubio, Esteban José Palomo, Rafael Marcos Luque Baena, Enrique Domínguez
2014 J jnl
A Histogram Transform for ProbabilityDensity Function Estimation.
IEEE Trans. Pattern Anal. Mach. Intell.
Ezequiel López-Rubio
2014 J jnl
An adaptive system for compressed video deblocking.
Signal Process.
Ezequiel López-Rubio, Rafael Marcos Luque Baena
2014 J jnl
Bregman Divergences for Growing Hierarchical Self-Organizing Networks.
Int. J. Neural Syst.
Ezequiel López-Rubio, Esteban José Palomo, Enrique Domínguez
2014 B conf
Color space selection for self-organizing map based foreground detection in video sequences.
IJCNN
Francisco Javier López-Rubio, Ezequiel López-Rubio, Rafael Marcos Luque Baena, Enrique Domínguez, Esteban J. Palomo
2014 J jnl
Grid topologies for the self-organizing map.
Neural Networks
Ezequiel López-Rubio, Antonio Díaz Ramos
2013 J jnl
A Competitive Neural Network for Multiple Object Tracking in Video Sequence Analysis.
Neural Process. Lett.
Rafael Marcos Luque Baena, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio, Enrique Domínguez, Esteban J. Palomo
2013 — conf
A Self-organizing Map for Traffic Flow Monitoring.
IWANN (2)
Rafael Marcos Luque Baena, Ezequiel López-Rubio, Enrique Domínguez, Esteban José Palomo, José Manuel Jerez
2013 J jnl
Adaptive kernel regression and probabilistic self-organizing maps for JPEG image deblocking.
Neurocomputing
María Nieves Florentín-Núñez, Ezequiel López-Rubio, Francisco Javier López-Rubio
2013 J jnl
Assessment of geometric features for individual identification and verification in biometric hand systems.
Expert Syst. Appl.
Rafael M. Luque-Baena, David A. Elizondo, Ezequiel López-Rubio, Esteban J. Palomo, Tim Watson
2013 — conf
Hierarchical Self-Organizing Networks for Multispectral Data Visualization.
IWANN (2)
Esteban José Palomo, Ezequiel López-Rubio, Enrique Domínguez, Rafael Marcos Luque Baena
2013 J jnl
Improving the Quality of Self-Organizing Maps by Self-Intersection Avoidance.
IEEE Trans. Neural Networks Learn. Syst.
Ezequiel López-Rubio
2012 — ch.
Feature Selection of Hand Biometrical Traits Based on Computational Intelligence Techniques.
Computational Intelligence for Privacy and Security
Rafael Marcos Luque, David A. Elizondo, Ezequiel López-Rubio, Esteban J. Palomo
2011 J jnl
Dynamic topology learning with the probabilistic self-organizing graph.
Neurocomputing
Ezequiel López-Rubio, Esteban José Palomo-Ferrer, Juan Miguel Ortiz-de-Lazcano-Lobato, María del Carmen Vargas-González
2011 — conf
Feature Weighting in Competitive Learning for Multiple Object Tracking in Video Sequences.
IWANN (2)
Rafael Marcos Luque, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio, Enrique Domínguez, Esteban J. Palomo
2011 J jnl
Foreground Detection in Video Sequences with Probabilistic Self-Organizing Maps.
Int. J. Neural Syst.
Ezequiel López-Rubio, Rafael Marcos Luque Baena, Enrique Domínguez
2011 B conf
GA-based feature selection approach in biometric hand systems.
IJCNN
Rafael Marcos Luque, David A. Elizondo, Ezequiel López-Rubio, Esteban J. Palomo
2011 J jnl
Growing Hierarchical Probabilistic Self-Organizing Graphs.
IEEE Trans. Neural Networks
Ezequiel López-Rubio, Esteban J. Palomo
2011 J jnl
Kernel regression based feature extraction for 3D MR image denoising.
Medical Image Anal.
Ezequiel López-Rubio, María Nieves Florentín-Núñez
2011 — conf
Reduction of JPEG Compression Artifacts by Kernel Regression and Probabilistic Self-Organizing Maps.
IWANN (2)
María Nieves Florentín-Núñez, Ezequiel López-Rubio, Francisco Javier López-Rubio
2011 J jnl
Stochastic approximation for background modelling.
Comput. Vis. Image Underst.
Ezequiel López-Rubio, Rafael Marcos Luque Baena
2011 J jnl
Stochastic approximation learning for mixtures of multivariate elliptical distributions.
Neurocomputing
Ezequiel López-Rubio
2010 J jnl
Probabilistic self-organizing maps for continuous data.
IEEE Trans. Neural Networks
Ezequiel López-Rubio
2010 J jnl
Probabilistic self-organizing maps for qualitative data.
Neural Networks
Ezequiel López-Rubio
2010 J jnl
Restoration of images corrupted by Gaussian and uniform impulsive noise.
Pattern Recognit.
Ezequiel López-Rubio
2009 J jnl
Automatic Model Selection by Cross-Validation for Probabilistic PCA.
Neural Process. Lett.
Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato
2009 J jnl
Dynamic Competitive Probabilistic Principal Components Analysis.
Int. J. Neural Syst.
Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato
2009 J jnl
Multivariate Student-t self-organizing maps.
Neural Networks
Ezequiel López-Rubio
2009 — conf
Nonparametric Location Estimation for Probability Density Function Learning.
IWANN (1)
Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, María del Carmen Vargas-González
2009 C conf
Object Tracking in Video Sequences by Unsupervised Learning.
CAIP
Rafael Marcos Luque, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio, Esteban J. Palomo
2009 J jnl
Probabilistic PCA Self-Organizing Maps.
IEEE Trans. Neural Networks
Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez
2009 — conf
Probabilistic Self-Organizing Graphs.
IWANN (1)
Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, María del Carmen Vargas-González
2009 J jnl
Robust Location and Spread Measures for Nonparametric Probability Density Function Estimation.
Int. J. Neural Syst.
Ezequiel López-Rubio
2008 — conf
Robust Nonparametric Probability Density Estimation by Soft Clustering.
ICANN (1)
Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, María del Carmen Vargas-González
2008 J jnl
Soft clustering for nonparametric probability density function estimation.
Pattern Recognit. Lett.
Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato
2007 Misc conf
Automatic Model Selection for Probabilistic PCA.
IWANN
Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, María del Carmen Vargas-González
2007 Misc conf
Self-organization of Probabilistic PCA Models.
IWANN
Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, María del Carmen Vargas-González
2007 — conf
Soft Clustering for Nonparametric Probability Density Function Estimation.
ICANN (1)
Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, María del Carmen Vargas-González
2007 B conf
Spicules-based competitive neural network.
ESANN
José Antonio Gómez-Ruiz, José Muñoz-Pérez, M. Angeles García-Bernal, Ezequiel López-Rubio
2006 Misc conf
Global-local learning strategies in probabilistic principal components analysis.
Artificial Intelligence and Soft Computing
Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, Enrique Mérida Casermeiro, María del Carmen Vargas-González
2006 — conf
Image Compression by Vector Quantization with Recurrent Discrete Networks.
ICANN (2)
Domingo López-Rodríguez, Enrique Mérida Casermeiro, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio
2006 — conf
Local Selection of Model Parameters in Probability Density Function Estimation.
ICANN (2)
Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, Enrique Mérida Casermeiro, María del Carmen Vargas-González
2005 Misc conf
Intrinsic Dimensionality Maps with the PCASOM.
IWANN
Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, María del Carmen Vargas-González, José Miguel López-Rubio
2004 J jnl
A principal components analysis self-organizing map.
Neural Networks
Ezequiel López-Rubio, José Muñoz-Pérez, José Antonio Gómez-Ruiz
2004 A conf
Dynamic Selection of Model Parameters in Principal Components Analysis Neural Networks.
ECAI
Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, María del Carmen Vargas-González, José Miguel López-Rubio
2004 J jnl
Principal Components Analysis Competitive Learning.
Neural Comput.
Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, José Muñoz-Pérez, José Antonio Gómez-Ruiz
2003 J jnl
A four-stage system for blind colour image segmentation.
Integr. Comput. Aided Eng.
Ezequiel López-Rubio, José Muñoz-Pérez, José Antonio Gómez-Ruiz
2003 J jnl
New learning rules for the ASSOM network.
Neural Comput. Appl.
Ezequiel López-Rubio, José Muñoz-Pérez, José Antonio Gómez-Ruiz, Enrique Domínguez Merino
2003 — conf
Principal Components Analysis Competitive Learning.
IWANN (1)
Ezequiel López-Rubio, José Muñoz-Pérez, José Antonio Gómez-Ruiz
2002 J jnl
Detección de esqueletos de caracteres mediante una red neuronal competitiva basada en segmentos.
Inteligencia Artif.
José Antonio Gómez-Ruiz, José Muñoz-Pérez, M. Angeles García-Bernal, Ezequiel López-Rubio
2002 J jnl
Expansive and Competitive Learning for Vector Quantization.
Neural Process. Lett.
José Muñoz-Pérez, José Antonio Gómez-Ruiz, Ezequiel López-Rubio, M. Angeles García-Bernal
2002 J jnl
Self Organizing Dynamic Graphs.
Neural Process. Lett.
Ezequiel López-Rubio, José Muñoz-Pérez, José Antonio Gómez-Ruiz
2002 C conf
The Principal Components Analysis Self-Organizing Map.
ICANN
Ezequiel López-Rubio, José Muñoz-Pérez, José Antonio Gómez-Ruiz
2001 — conf
Dynamic Topology Networks for Colour Image Compression.
IWANN (2)
Ezequiel López-Rubio, José Muñoz-Pérez, José Antonio Gómez-Ruiz
2001 — conf
Expansive and Competitive Neural Networks.
IWANN (1)
José Antonio Gómez-Ruiz, José Muñoz-Pérez, Ezequiel López-Rubio, M. Angeles García-Bernal
2001 J jnl
Invariant pattern identification by self-organising networks.
Pattern Recognit. Lett.
Ezequiel López-Rubio, José Muñoz-Pérez, José Antonio Gómez-Ruiz
2000 B conf
A Robust Two-Stage System for Image Segmentation.
ICPR
Ezequiel López-Rubio, José Muñoz-Pérez, José Antonio Gómez-Ruiz