Rafael Marcos Luque Baena

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 32

Top Topics

Competitive Learning

Foreground Detection

Convolutional Neural Networks

Top Venues

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)
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)
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)
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, 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)
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)
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)
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)
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)
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)
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)
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)
David Quintana, Francisco Chávez, Rafael Marcos Luque Baena, Francisco Luna
Fuzzy techniques for IPO underpricing prediction. J. Intell. Fuzzy Syst. 35 (1) (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)
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)
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, 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)
Daniel Urda, Rafael Marcos Luque Baena, Leonardo Franco, José M. Jerez, Noelia Sánchez-Maroño
Machine learning models to search relevant genetic signatures in clinical context. IJCNN (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)
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)
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)
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)
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)
Juan Enrique Agudo, Juan F. Valenzuela-Valdés, Francisco Luna-Valero, Rafael Marcos Luque Baena, Pablo Padilla
Analysis of beamforming for improving the energy efficiency in wireless sensor networks with metaheuristics. Prog. Artif. Intell. 5 (3) (2016)
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)
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) (2016)
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)
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) (2015)
Juan F. Valenzuela-Valdés, Francisco Luna-Valero, Rafael Marcos Luque Baena, Pablo Padilla
Saving energy in WSNs with beamforming. CloudNet (2014)
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)
Ezequiel López-Rubio, Rafael Marcos Luque Baena
An adaptive system for compressed video deblocking. Signal Process. 103 (2014)
Rafael Marcos Luque Baena, Daniel Urda, M. Gonzalo Claros, Leonardo Franco, José M. Jerez
Robust gene signatures from microarray data using genetic algorithms enriched with biological pathway keywords. J. Biomed. Informatics 49 (2014)
Esteban José Palomo, Ezequiel López-Rubio, Enrique Domínguez, Rafael Marcos Luque Baena
Hierarchical Self-Organizing Networks for Multispectral Data Visualization. IWANN (2) (2013)
Rafael Marcos Luque Baena, Daniel Urda, José Luis Subirats, Leonardo Franco, José M. Jerez
Analysis of Cancer Microarray Data using Constructive Neural Networks and Genetic Algorithms. IWBBIO (2013)
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) (2013)
José Luis Subirats, Rafael Marcos Luque Baena, Daniel Urda, Francisco Ortega-Zamorano, José Manuel Jerez, Leonardo Franco
Committee C-Mantec: A Probabilistic Constructive Neural Network. IWANN (1) (2013)
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)
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) (2011)
Ezequiel López-Rubio, Rafael Marcos Luque Baena
Stochastic approximation for background modelling. Comput. Vis. Image Underst. 115 (6) (2011)
Rafael Marcos Luque Baena, Enrique Domínguez, Domingo López-Rodríguez, Esteban J. Palomo
A Neighborhood-Based Competitive Network for Video Segmentation and Object Detection. ICANN (1) (2008)