Ezequiel Lpez-Rubio
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
69
Venues
12
Active years
2000–2026
Best venue rank
National
Where they publish
Papers
69 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | IWINAC | Generalizable 3D Glioblastoma Segmentation from Single-Sequence T1-GD MRI. | Ana Gonzlez Morales, Ariadna Jimnez-Partinen, David Muoz Carmona, Luz Rub Olea, Luca Ripoll Snchez, Ftima Nagib-Raya, Ezequiel Lpez-Rubio, Rafael M. Luque-Baena |
| 2026 | IWINAC | Interactive Pressure Ulcer Segmentation: A Point-Prompted DeepLabV3+ Approach. | Wasfieh Nazzal, Karl Thurnhofer-Hemsi, Francisco J. Veredas, Ezequiel Lpez-Rubio |
| 2024 | IWINAC | Enhanced Cellular Detection Using Convolutional Neural Networks and Sliding Window Super-Resolution Inference. | Ivn Garca Aguilar, Rostyslav Zavoiko, Jose David Fernndez Rodriguez, Rafael Marcos Luque Baena, Ezequiel Lpez-Rubio |
| 2024 | IWINAC | Unsupervised Detection of Incoming and Outgoing Traffic Flows in Video Sequences. | Jos David Fernndez-Rodrguez, Pablo Carmona-Martnez, Rafaela Bentez-Rochel, Miguel A. Molina-Cabello, Ezequiel Lpez-Rubio |
| 2023 | IWANN | Minimal Optimal Region Generation for Enhanced Object Detection in Aerial Images Using Super-Resolution and Convolutional Neural Networks. | Ivn Garca Aguilar, Lipika Deka, Rafael Marcos Luque Baena, Enrique Domnguez, Ezequiel Lpez-Rubio |
| 2022 | ICIP | Moving Object Detection in Noisy Video Sequences Using Deep Convolutional Disentangled Representations. | Jorge Garca-Gonzlez, Rafael M. Luque-Baena, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel Lpez-Rubio |
| 2022 | IJCNN | Enhanced Perspective Generation by Consensus of NeX neural models. | Marcos Sergio Pacheco dos Santos Lima Junior, Jose David Fernndez Rodriguez, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel Lpez-Rubio, Enrique Domnguez |
| 2022 | IWINAC | Enhanced Image Segmentation by a Novel Test Time Augmentation and Super-Resolution. | Ivn Garca Aguilar, Jorge Garca-Gonzlez, Rafael Marcos Luque Baena, Ezequiel Lpez-Rubio, Enrique Domnguez-Merino |
| 2022 | IWINAC | Anomalous Trajectory Detection for Automated Traffic Video Surveillance. | Jose D. Fernndez, Jorge Garca-Gonzlez, Rafaela Bentez-Rochel, Miguel A. Molina-Cabello, Ezequiel Lpez-Rubio |
| 2022 | IWINAC | Analysis of Functional Connectome Pipelines for the Diagnosis of Autism Spectrum Disorders. | Clara Jimnez-Valverde, Rosa Maza-Quiroga, Domingo Lpez-Rodrguez, Karl Thurnhofer-Hemsi, Ezequiel Lpez-Rubio, Rafael Marcos Luque Baena |
| 2022 | IWINAC | A Novel Continual Learning Approach for Competitive Neural Networks. | Esteban J. Palomo, Juan Miguel Ortiz-de-Lazcano-Lobato, Jos David Fernndez-Rodrguez, Ezequiel Lpez-Rubio, Rosa Maza-Quiroga |
| 2022 | IWINAC | Encoding Generative Adversarial Networks for Defense Against Image Classification Attacks. | Jos M. Prez-Bravo, Jos A. Rodrguez-Rodrguez, Jorge Garca-Gonzlez, Miguel A. Molina-Cabello, Karl Thurnhofer-Hemsi, Ezequiel Lpez-Rubio |
| 2021 | IJCNN | Deep learning-based anomalous object detection system for panoramic cameras managed by a Jetson TX2 board. | Jess Benito-Picazo, Enrique Domnguez, Esteban J. Palomo, Gonzalo Ramos-Jimnez, Ezequiel Lpez-Rubio |
| 2021 | IJCNN | Dynamic selection of classifiers for Content Based Image Retrieval. | Safa Hamreras, Bachir Boucheham, Miguel A. Molina-Cabello, Rafaela Bentez-Rochel, Ezequiel Lpez-Rubio |
| 2021 | IJCNN | Histopathological image analysis for breast cancer diagnosis by ensembles of convolutional neural networks and genetic algorithms. | Miguel A. Molina-Cabello, Jos A. Rodrguez-Rodrguez, Karl Thurnhofer-Hemsi, Ezequiel Lpez-Rubio |
| 2021 | IJCNN | Improving Uncertainty Estimations for Mammogram Classification using Semi-Supervised Learning. | Sal Caldern Ramrez, Diego Murillo-Hernandez, Kevin Rojas-Salazar, Luis-Alexander Calvo-Valverde, Shengxiang Yang, Armaghan Moemeni, David A. Elizondo, Ezequiel Lpez-Rubio, Miguel A. Molina-Cabello |
| 2021 | IJCNN | Test time augmentation by regular shifting for deep denoising autoencoder networks. | Jos A. Rodrguez-Rodrguez, Miguel A. Molina-Cabello, Rafaela Bentez-Rochel, Ezequiel Lpez-Rubio |
| 2021 | IJCNN | Enhanced transfer learning model by image shifting on a square lattice for skin lesion malignancy assessment. | Karl Thurnhofer-Hemsi, Rosa Maza-Quiroga, Enrique Domnguez, Miguel A. Molina-Cabello, Ezequiel Lpez-Rubio |
| 2021 | IWANN | Classification of Images as Photographs or Paintings by Using Convolutional Neural Networks. | Jos Miguel Lpez-Rubio, Miguel A. Molina-Cabello, Gonzalo Ramos-Jimnez, Ezequiel Lpez-Rubio |
| 2021 | MICCAI | Rician Noise Estimation for 3D Magnetic Resonance Images Based on Benford's Law. | Rosa Maza-Quiroga, Karl Thurnhofer-Hemsi, Domingo Lpez-Rodrguez, Ezequiel Lpez-Rubio |
| 2020 | ECAI | Foreground Detection by Probabilistic Mixture Models Using Semantic Information from Deep Networks. | Jorge Garca-Gonzlez, Juan Miguel Ortiz-de-Lazcano-Lobato, Rafael M. Luque-Baena, Ezequiel Lpez-Rubio |
| 2020 | ICIP | Deep Autoencoder Architectures For Foreground Object Detection In Video Sequences Based On Probabilistic Mixture Models. | Jorge Garca-Gonzlez, Miguel A. Molina-Cabello, Rafael M. Luque-Baena, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel Lpez-Rubio |
| 2020 | ICIP | Super-Resolution of 3D MRI Corrupted by Heavy Noise With the Median Filter Transform. | Karl Thurnhofer-Hemsi, Ezequiel Lpez-Rubio, Nria Ro-Vellv, Lipika Deka |
| 2020 | ICPR | Adaptive estimation of optimal color transformations for deep convolutional network based homography estimation. | Miguel A. Molina-Cabello, Jorge Garca-Gonzlez, Rafael Marcos Luque Baena, Karl Thurnhofer-Hemsi, Ezequiel Lpez-Rubio |
| 2020 | ICPR | The Impact of Linear Motion Blur on the Object Recognition Efficiency of Deep Convolutional Neural Networks. | Jos A. Rodrguez-Rodrguez, Miguel A. Molina-Cabello, Rafaela Bentez-Rochel, Ezequiel Lpez-Rubio |
| 2020 | ICPR | The Effect of Noise and Brightness on Convolutional Deep Neural Networks. | Jos A. Rodrguez-Rodrguez, Miguel A. Molina-Cabello, Rafaela Bentez-Rochel, Ezequiel Lpez-Rubio |
| 2020 | ICPR | The effect of image enhancement algorithms on convolutional neural networks. | Jos A. Rodrguez-Rodrguez, Miguel A. Molina-Cabello, Rafaela Bentez-Rochel, Ezequiel Lpez-Rubio |
| 2020 | ICPR | Performance of Deep Learning and Traditional Techniques in Single Image Super-Resolution of Noisy Images. | Karl Thurnhofer-Hemsi, Guillermo Ruiz-lvarez, Rafael Marcos Luque Baena, Miguel A. Molina-Cabello, Ezequiel Lpez-Rubio |
| 2019 | IWANN | Optimization of Convolutional Neural Network Ensemble Classifiers by Genetic Algorithms. | Miguel A. Molina-Cabello, Cristian Accino, Ezequiel Lpez-Rubio, Karl Thurnhofer-Hemsi |
| 2019 | IWINAC | Deep Learning-Based Security System Powered by Low Cost Hardware and Panoramic Cameras. | Jess Benito-Picazo, Enrique Domnguez, Esteban J. Palomo, Ezequiel Lpez-Rubio |
| 2019 | IWINAC | Background Modeling by Shifted Tilings of Stacked Denoising Autoencoders. | Jorge Garca-Gonzlez, Juan Miguel Ortiz-de-Lazcano-Lobato, Rafael M. Luque-Baena, Ezequiel Lpez-Rubio |
| 2019 | IWINAC | Content Based Image Retrieval by Convolutional Neural Networks. | Safa Hamreras, Rafaela Bentez-Rochel, Bachir Boucheham, Miguel A. Molina-Cabello, Ezequiel Lpez-Rubio |
| 2019 | IWINAC | Deep Learning Networks with p-norm Loss Layers for Spatial Resolution Enhancement of 3D Medical Images. | Karl Thurnhofer-Hemsi, Ezequiel Lpez-Rubio, Nria Ro-Vellv, Miguel A. Molina-Cabello |
| 2018 | IJCNN | Deep learning-based anomalous object detection system powered by microcontroller for PTZ cameras. | Jess Benito-Picazo, Enrique Domnguez, Esteban J. Palomo, Ezequiel Lpez-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato |
| 2018 | IJCNN | Road Pollution Estimation Using Static Cameras And Neural Networks. | Miguel A. Molina-Cabello, Rafael Marcos Luque Baena, Ezequiel Lpez-Rubio, Lipika Deka, Karl Thurnhofer-Hemsi |
| 2018 | IJCNN | A New Self-Organizing Neural Gas Model based on Bregman Divergences. | Esteban J. Palomo, Miguel A. Molina-Cabello, Ezequiel Lpez-Rubio, Rafael Marcos Luque Baena |
| 2018 | IJCNN | Super-resolution of 3D Magnetic Resonance Images by Random Shifting and Convolutional Neural Networks. | Karl Thurnhofer-Hemsi, Ezequiel Lpez-Rubio, Nria Ro-Vellv, Enrique Domnguez, Miguel A. Molina-Cabello |
| 2018 | IPMU | Foreground Detection Enhancement Using Pearson Correlation Filtering. | Rafael Marcos Luque Baena, Miguel A. Molina-Cabello, Ezequiel Lpez-Rubio, Enrique Domnguez |
| 2018 | WorldCIST | Blood Cell Classification Using the Hough Transform and Convolutional Neural Networks. | Miguel A. Molina-Cabello, Ezequiel Lpez-Rubio, Rafael M. Luque-Baena, Mara Jess Rodrguez-Espinosa, Karl Thurnhofer-Hemsi |
| 2017 | IJCNN | Neural controller for PTZ cameras based on nonpanoramic foreground detection. | Miguel A. Molina-Cabello, Ezequiel Lpez-Rubio, Rafael Marcos Luque Baena, Enrique Domnguez, Karl Thurnhofer-Hemsi |
| 2017 | IJCNN | Panoramic background modeling for PTZ cameras with competitive learning neural networks. | Karl Thurnhofer-Hemsi, Ezequiel Lpez-Rubio, Enrique Domnguez, Rafael Marcos Luque Baena, Miguel A. Molina-Cabello |
| 2017 | IWANN | Vehicle Classification in Traffic Environments Using the Growing Neural Gas. | Miguel A. Molina-Cabello, Rafael Marcos Luque Baena, Ezequiel Lpez-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Enrique Domnguez, Jos Muoz-Prez |
| 2017 | IWANN | Unsupervised Color Quantization with the Growing Neural Forest. | Esteban Jos Palomo, Jess Benito-Picazo, Ezequiel Lpez-Rubio, Enrique Domnguez |
| 2017 | IWINAC | Motion Detection by Microcontroller for Panning Cameras. | Jess Benito-Picazo, Ezequiel Lpez-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Enrique Domnguez, Esteban J. Palomo |
| 2017 | IWINAC | Vehicle Type Detection by Convolutional Neural Networks. | Miguel A. Molina-Cabello, Rafael Marcos Luque Baena, Ezequiel Lpez-Rubio, Karl Thurnhofer-Hemsi |
| 2015 | IWANN | Visualization of Complex Datasets with the Self-Organizing Spanning Tree. | Ezequiel Lpez-Rubio, Esteban Jos Palomo, Rafael Marcos Luque Baena, Enrique Domnguez |
| 2014 | IJCNN | Color space selection for self-organizing map based foreground detection in video sequences. | Francisco Javier Lpez-Rubio, Ezequiel Lpez-Rubio, Rafael Marcos Luque Baena, Enrique Domnguez, Esteban J. Palomo |
| 2013 | IWANN | A Self-organizing Map for Traffic Flow Monitoring. | Rafael Marcos Luque Baena, Ezequiel Lpez-Rubio, Enrique Domnguez, Esteban Jos Palomo, Jos Manuel Jerez |
| 2013 | IWANN | Hierarchical Self-Organizing Networks for Multispectral Data Visualization. | Esteban Jos Palomo, Ezequiel Lpez-Rubio, Enrique Domnguez, Rafael Marcos Luque Baena |
| 2011 | IJCNN | GA-based feature selection approach in biometric hand systems. | Rafael Marcos Luque, David A. Elizondo, Ezequiel Lpez-Rubio, Esteban J. Palomo |
| 2011 | IWANN | Reduction of JPEG Compression Artifacts by Kernel Regression and Probabilistic Self-Organizing Maps. | Mara Nieves Florentn-Nez, Ezequiel Lpez-Rubio, Francisco Javier Lpez-Rubio |
| 2011 | IWANN | Feature Weighting in Competitive Learning for Multiple Object Tracking in Video Sequences. | Rafael Marcos Luque, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel Lpez-Rubio, Enrique Domnguez, Esteban J. Palomo |
| 2009 | CAIP | Object Tracking in Video Sequences by Unsupervised Learning. | Rafael Marcos Luque, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel Lpez-Rubio, Esteban J. Palomo |
| 2009 | IWANN | Nonparametric Location Estimation for Probability Density Function Learning. | Ezequiel Lpez-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Mara del Carmen Vargas-Gonzlez |
| 2009 | IWANN | Probabilistic Self-Organizing Graphs. | Ezequiel Lpez-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Mara del Carmen Vargas-Gonzlez |
| 2008 | ICANN | Robust Nonparametric Probability Density Estimation by Soft Clustering. | Ezequiel Lpez-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo Lpez-Rodrguez, Mara del Carmen Vargas-Gonzlez |
| 2007 | ESANN | Spicules-based competitive neural network. | Jos Antonio Gmez-Ruiz, Jos Muoz-Prez, M. Angeles Garca-Bernal, Ezequiel Lpez-Rubio |
| 2007 | ICANN | Soft Clustering for Nonparametric Probability Density Function Estimation. | Ezequiel Lpez-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo Lpez-Rodrguez, Mara del Carmen Vargas-Gonzlez |
| 2007 | IWANN | Automatic Model Selection for Probabilistic PCA. | Ezequiel Lpez-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo Lpez-Rodrguez, Mara del Carmen Vargas-Gonzlez |
| 2007 | IWANN | Self-organization of Probabilistic PCA Models. | Ezequiel Lpez-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo Lpez-Rodrguez, Mara del Carmen Vargas-Gonzlez |
| 2006 | ICANN | Image Compression by Vector Quantization with Recurrent Discrete Networks. | Domingo Lpez-Rodrguez, Enrique Mrida Casermeiro, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel Lpez-Rubio |
| 2006 | ICANN | Local Selection of Model Parameters in Probability Density Function Estimation. | Ezequiel Lpez-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo Lpez-Rodrguez, Enrique Mrida Casermeiro, Mara del Carmen Vargas-Gonzlez |
| 2005 | IWANN | Intrinsic Dimensionality Maps with the PCASOM. | Ezequiel Lpez-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Mara del Carmen Vargas-Gonzlez, Jos Miguel Lpez-Rubio |
| 2004 | ECAI | Dynamic Selection of Model Parameters in Principal Components Analysis Neural Networks. | Ezequiel Lpez-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Mara del Carmen Vargas-Gonzlez, Jos Miguel Lpez-Rubio |
| 2003 | IWANN | Principal Components Analysis Competitive Learning. | Ezequiel Lpez-Rubio, Jos Muoz-Prez, Jos Antonio Gmez-Ruiz |
| 2002 | ICANN | The Principal Components Analysis Self-Organizing Map. | Ezequiel Lpez-Rubio, Jos Muoz-Prez, Jos Antonio Gmez-Ruiz |
| 2001 | IWANN | Expansive and Competitive Neural Networks. | Jos Antonio Gmez-Ruiz, Jos Muoz-Prez, Ezequiel Lpez-Rubio, M. Angeles Garca-Bernal |
| 2001 | IWANN | Dynamic Topology Networks for Colour Image Compression. | Ezequiel Lpez-Rubio, Jos Muoz-Prez, Jos Antonio Gmez-Ruiz |
| 2000 | ICPR | A Robust Two-Stage System for Image Segmentation. | Ezequiel Lpez-Rubio, Jos Muoz-Prez, Jos Antonio Gmez-Ruiz |