Rafael M. Luque-Baena

33 papers A 1B 2Journal 21Unranked 9
YearRankTypeTitle / Venue / Authors
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
Improving 5 G base station placement through precise rooftop detection using super-resolution diffusion models and satellite image analysis.
Nat. Comput.
Iván García Aguilar, Jesús Galeano-Brajones, Francisco Luna-Valero, Javier Carmona-Murillo, José David Fernández-Rodríguez, Rafael M. Luque-Baena
2024 J jnl
Enhancing Histopathological Image Classification Performance through Synthetic Data Generation with Generative Adversarial Networks.
Sensors
Jose L. Ruiz-Casado, Miguel A. Molina-Cabello, Rafael M. Luque-Baena
2024 — conf
Enhancing Object Segmentation via Few-Shot Learning with Limited Annotated Data.
SOCO (2)
Iván García Aguilar, Syed Ali Haider Jafri, David A. Elizondo, Saúl Calderón Ramírez, Sarah Greenfield, Rafael M. Luque-Baena
2024 — conf
Prediction of Optimal Locations for 5G Base Stations in Urban Environments Using Neural Networks and Satellite Image Analysis.
IWINAC (2)
Iván García Aguilar, Jesús Galeano-Brajones, Francisco Luna-Valero, Javier Carmona-Murillo, José David Fernández-Rodríguez, Rafael M. Luque-Baena
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
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
Pneumonia Detection in Chest X-ray Images using Convolutional Neural Networks.
MetroXRAINE
Esteban J. Palomo, Miguel A. Zafra-Santisteban, Rafael M. Luque-Baena
2022 — conf
Stenosis detection in coronary angiography images using deep learning models.
MetroXRAINE
Rafael M. Luque-Baena, Irene Romero Granados, Ariadna Jiménez-Partinen, Esteban J. Palomo, Manuel Jiménez-Navarro
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 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
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 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 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
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
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 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
2018 — conf
Addressing the 5G Cell Switch-off Problem with a Multi-objective Cellular Genetic Algorithm.
5G World Forum
Francisco Luna, Rafael M. Luque-Baena, Jesus Martinez, Juan F. Valenzuela-Valdés, Pablo Padilla
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
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
Study and classification of plum varieties using image analysis and deep learning techniques.
Prog. Artif. Intell.
Francisco J. Rodríguez, Antonio García, Pedro J. Pardo, Francisco Chávez, Rafael M. Luque-Baena
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 J jnl
Dynamic tree topology learning by self-organization.
Neural Comput. Appl.
Ezequiel López-Rubio, Rafael M. Luque-Baena, Esteban J. Palomo, Enrique Domínguez
2016 J jnl
Clustering and Beamforming for Efficient Communication in Wireless Sensor Networks.
Sensors
Francisco Porcel-Rodríguez, Juan F. Valenzuela-Valdés, Pablo Padilla, Francisco Luna-Valero, Rafael M. Luque-Baena, Miguel Angel Lopez-Gordo
2016 J jnl
Efficient Implementation of the Backpropagation Algorithm in FPGAs and Microcontrollers.
IEEE Trans. Neural Networks Learn. Syst.
Francisco Ortega-Zamorano, José M. Jerez, Daniel Urda, Rafael M. Luque-Baena, Leonardo Franco
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
Wound image evaluation with machine learning.
Neurocomputing
Francisco J. Veredas, Rafael M. Luque-Baena, Francisco J. Martín-Santos, Juan C. Morilla-Herrera, Laura Morente
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
Computer-Aided Diagnosis in Wound Images with Neural Networks.
IWANN (2)
María Navas, Rafael M. Luque-Baena, Laura Morente, David Coronado, Rafael Rodríguez, Francisco J. Veredas
2013 J jnl
Image Compression and Video Segmentation Using Hierarchical Self-Organization.
Neural Process. Lett.
Esteban J. Palomo, Enrique Domínguez, Rafael M. Luque-Baena, José Muñoz