Ezequiel López-Rubio
Orcid: 0000-0001-8231-5687
According to our database1,
Ezequiel López-Rubio
authored at least 171 papers
between 2000 and 2024.
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Bibliography
2024
Sensors, February, 2024
Detection of dangerously approaching vehicles over onboard cameras by speed estimation from apparent size.
Neurocomputing, January, 2024
2023
Regression of the Rician Noise Level in 3D Magnetic Resonance Images from the Distribution of the First Significant Digit.
Axioms, December, 2023
An uncertainty estimator method based on the application of feature density to classify mammograms for breast cancer detection.
Neural Comput. Appl., October, 2023
Object detection in traffic videos: an optimized approach using super-resolution and maximal clique algorithm.
Neural Comput. Appl., September, 2023
Small-Scale Urban Object Anomaly Detection Using Convolutional Neural Networks with Probability Estimation.
Sensors, August, 2023
A convolutional autoencoder and a neural gas model based on Bregman divergences for hierarchical color quantization.
Neurocomputing, August, 2023
Dataset Similarity to Assess Semisupervised Learning Under Distribution Mismatch Between the Labeled and Unlabeled Datasets.
IEEE Trans. Artif. Intell., April, 2023
Automated labeling of training data for improved object detection in traffic videos by fine-tuned deep convolutional neural networks.
Pattern Recognit. Lett., March, 2023
Automated detection of vehicles with anomalous trajectories in traffic surveillance videos.
Integr. Comput. Aided Eng., 2023
Integr. Comput. Aided Eng., 2023
Integr. Comput. Aided Eng., 2023
Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023
Minimal Optimal Region Generation for Enhanced Object Detection in Aerial Images Using Super-Resolution and Convolutional Neural Networks.
Proceedings of the Advances in Computational Intelligence, 2023
2022
Improved detection of small objects in road network sequences using CNN and super resolution.
Expert Syst. J. Knowl. Eng., 2022
Vehicle Overtaking Hazard Detection over Onboard Cameras Using Deep Convolutional Networks.
Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022
Encoding Generative Adversarial Networks for Defense Against Image Classification Attacks.
Proceedings of the Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence, 2022
Proceedings of the Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence, 2022
Analysis of Functional Connectome Pipelines for the Diagnosis of Autism Spectrum Disorders.
Proceedings of the Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence, 2022
Proceedings of the Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence, 2022
Proceedings of the Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence, 2022
Feature Density as an Uncertainty Estimator Method in the Binary Classification Mammography Images Task for a Supervised Deep Learning Model.
Proceedings of the Bioinformatics and Biomedical Engineering, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Moving Object Detection in Noisy Video Sequences Using Deep Convolutional Disentangled Representations.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
2021
Synth., 2021
Synth., 2021
Expert Syst. Appl., 2021
Road pollution estimation from vehicle tracking in surveillance videos by deep convolutional neural networks.
Appl. Soft Comput., 2021
Skin Lesion Classification by Ensembles of Deep Convolutional Networks and Regularly Spaced Shifting.
IEEE Access, 2021
Improving Uncertainty Estimation With Semi-Supervised Deep Learning for COVID-19 Detection Using Chest X-Ray Images.
IEEE Access, 2021
Hierarchical Color Quantization with a Neural Gas Model Based on Bregman Divergences.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021
Foreground Segmentation Improvement by Image Denoising Preprocessing Applied to Noisy Video Sequences.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Classification of Images as Photographs or Paintings by Using Convolutional Neural Networks.
Proceedings of the Advances in Computational Intelligence, 2021
Enhanced transfer learning model by image shifting on a square lattice for skin lesion malignancy assessment.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Improving Uncertainty Estimations for Mammogram Classification using Semi-Supervised Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021
Histopathological image analysis for breast cancer diagnosis by ensembles of convolutional neural networks and genetic algorithms.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Deep learning-based anomalous object detection system for panoramic cameras managed by a Jetson TX2 board.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the 14th International Conference on Computational Intelligence in Security for Information Systems and 12th International Conference on European Transnational Educational (CISIS 2021 and ICEUTE 2021), 2021
Proceedings of the 14th International Conference on Computational Intelligence in Security for Information Systems and 12th International Conference on European Transnational Educational (CISIS 2021 and ICEUTE 2021), 2021
2020
IEEE Trans. Neural Networks Learn. Syst., 2020
Exploratory Data Analysis and Foreground Detection with the Growing Hierarchical Neural Forest.
Neural Process. Lett., 2020
Deep learning-based super-resolution of 3D magnetic resonance images by regularly spaced shifting.
Neurocomputing, 2020
Multiobjective optimization of deep neural networks with combinations of Lp-norm cost functions for 3D medical image super-resolution.
Integr. Comput. Aided Eng., 2020
Integr. Comput. Aided Eng., 2020
Background subtraction by probabilistic modeling of patch features learned by deep autoencoders.
Integr. Comput. Aided Eng., 2020
Deep learning-based video surveillance system managed by low cost hardware and panoramic cameras.
Integr. Comput. Aided Eng., 2020
Expert Syst. Appl., 2020
CoRR, 2020
Artif. Intell. Rev., 2020
Aggregation of Convolutional Neural Network Estimations of Homographies by Color Transformations of the Inputs.
IEEE Access, 2020
Performance of Deep Learning and Traditional Techniques in Single Image Super-Resolution of Noisy Images.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
The Impact of Linear Motion Blur on the Object Recognition Efficiency of Deep Convolutional Neural Networks.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
Adaptive estimation of optimal color transformations for deep convolutional network based homography estimation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Super-Resolution of 3D MRI Corrupted by Heavy Noise With the Median Filter Transform.
Proceedings of the IEEE International Conference on Image Processing, 2020
Deep Autoencoder Architectures For Foreground Object Detection In Video Sequences Based On Probabilistic Mixture Models.
Proceedings of the IEEE International Conference on Image Processing, 2020
Foreground Detection by Probabilistic Mixture Models Using Semantic Information from Deep Networks.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
2019
Foreground detection by probabilistic modeling of the features discovered by stacked denoising autoencoders in noisy video sequences.
Pattern Recognit. Lett., 2019
Neural Process. Lett., 2019
Integr. Comput. Aided Eng., 2019
Deep Learning Networks with p-norm Loss Layers for Spatial Resolution Enhancement of 3D Medical Images.
Proceedings of the From Bioinspired Systems and Biomedical Applications to Machine Learning, 2019
Proceedings of the From Bioinspired Systems and Biomedical Applications to Machine Learning, 2019
Proceedings of the From Bioinspired Systems and Biomedical Applications to Machine Learning, 2019
Deep Learning-Based Security System Powered by Low Cost Hardware and Panoramic Cameras.
Proceedings of the From Bioinspired Systems and Biomedical Applications to Machine Learning, 2019
Optimization of Convolutional Neural Network Ensemble Classifiers by Genetic Algorithms.
Proceedings of the Advances in Computational Intelligence, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the International Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2019) and 10th International Conference on EUropean Transnational Education (ICEUTE 2019), 2019
2018
Int. J. Neural Syst., 2018
Foreground object detection for video surveillance by fuzzy logic based estimation of pixel illumination states.
Log. J. IGPL, 2018
Vehicle type detection by ensembles of convolutional neural networks operating on super resolved images.
Integr. Comput. Aided Eng., 2018
Expert Syst. J. Knowl. Eng., 2018
Blood Cell Classification Using the Hough Transform and Convolutional Neural Networks.
Proceedings of the Trends and Advances in Information Systems and Technologies, 2018
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2018
Super-resolution of 3D Magnetic Resonance Images by Random Shifting and Convolutional Neural Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Deep learning-based anomalous object detection system powered by microcontroller for PTZ cameras.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the Advances in Artificial Intelligence, 2018
2017
IEEE Trans. Neural Networks Learn. Syst., 2017
Robust Fitting of Ellipsoids by Separating Interior and Exterior Points During Optimization.
J. Math. Imaging Vis., 2017
Int. J. Comput. Vis. Image Process., 2017
Int. J. Comput. Vis. Image Process., 2017
Proceedings of the International Joint Conference SOCO'17-CISIS'17-ICEUTE'17, 2017
Proceedings of the Biomedical Applications Based on Natural and Artificial Computing, 2017
Proceedings of the Biomedical Applications Based on Natural and Artificial Computing, 2017
Proceedings of the Advances in Computational Intelligence, 2017
Proceedings of the Advances in Computational Intelligence, 2017
Panoramic background modeling for PTZ cameras with competitive learning neural networks.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
SIAM J. Imaging Sci., 2016
Selecting the Color Space for Self-Organizing Map Based Foreground Detection in Video.
Neural Process. Lett., 2016
Expert Syst. Appl., 2016
Pixel Features for Self-organizing Map Based Detection of Foreground Objects in Dynamic Environments.
Proceedings of the International Joint Conference SOCO'16-CISIS'16-ICEUTE'16, 2016
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2016
Proceedings of the Advances in Artificial Intelligence, 2016
2015
Soft Comput., 2015
Pattern Recognit. Lett., 2015
Image Vis. Comput., 2015
Inf. Sci., 2015
Comput. Vis. Image Underst., 2015
Comput. Math. Methods Medicine, 2015
Proceedings of the Advances in Computational Intelligence, 2015
2014
IEEE Trans. Pattern Anal. Mach. Intell., 2014
Int. J. Neural Syst., 2014
Color space selection for self-organizing map based foreground detection in video sequences.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
2013
IEEE Trans. Neural Networks Learn. Syst., 2013
A Competitive Neural Network for Multiple Object Tracking in Video Sequence Analysis.
Neural Process. Lett., 2013
Adaptive kernel regression and probabilistic self-organizing maps for JPEG image deblocking.
Neurocomputing, 2013
Assessment of geometric features for individual identification and verification in biometric hand systems.
Expert Syst. Appl., 2013
Proceedings of the Advances in Computational Intelligence, 2013
Proceedings of the Advances in Computational Intelligence, 2013
2012
Feature Selection of Hand Biometrical Traits Based on Computational Intelligence Techniques.
Proceedings of the Computational Intelligence for Privacy and Security, 2012
2011
IEEE Trans. Neural Networks, 2011
Medical Image Anal., 2011
Neurocomputing, 2011
Stochastic approximation learning for mixtures of multivariate elliptical distributions.
Neurocomputing, 2011
Int. J. Neural Syst., 2011
Feature Weighting in Competitive Learning for Multiple Object Tracking in Video Sequences.
Proceedings of the Advances in Computational Intelligence, 2011
Reduction of JPEG Compression Artifacts by Kernel Regression and Probabilistic Self-Organizing Maps.
Proceedings of the Advances in Computational Intelligence, 2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
2010
IEEE Trans. Neural Networks, 2010
Pattern Recognit., 2010
2009
Neural Process. Lett., 2009
Int. J. Neural Syst., 2009
Robust Location and Spread Measures for Nonparametric Probability Density Function Estimation.
Int. J. Neural Syst., 2009
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009
Proceedings of the Computer Analysis of Images and Patterns, 13th International Conference, 2009
2008
Pattern Recognit. Lett., 2008
Proceedings of the Artificial Neural Networks, 2008
2007
Proceedings of the Computational and Ambient Intelligence, 2007
Proceedings of the Computational and Ambient Intelligence, 2007
Proceedings of the Artificial Neural Networks, 2007
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007
2006
Proceedings of the Artificial Neural Networks, 2006
Proceedings of the Artificial Neural Networks, 2006
Global-local learning strategies in probabilistic principal components analysis.
Proceedings of the Artificial Intelligence and Soft Computing, 2006
2005
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005
2004
Dynamic Selection of Model Parameters in Principal Components Analysis Neural Networks.
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004
2003
Integr. Comput. Aided Eng., 2003
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003
2002
Neural Process. Lett., 2002
Detección de esqueletos de caracteres mediante una red neuronal competitiva basada en segmentos.
Inteligencia Artif., 2002
2001
Pattern Recognit. Lett., 2001
Proceedings of the Bio-inspired Applications of Connectionism, 2001
Proceedings of the Connectionist Models of Neurons, 2001
2000
Proceedings of the 15th International Conference on Pattern Recognition, 2000