R. M. Luque-Baena

AN ACADEMIC REINFORCEMENT METHODOLOGY BASED ON MULTIMEDIA RESOURCES

R. Godoy-Rubio, Juan J. Sanchez-Sanchez, V. Arévalo, 2011 .

Application of genetic algorithms and constructive neural networks for the analysis of microarray cancer data

R. M. Luque-Baena, L. Franco, J. M. Jerez, 2014, Theoretical Biology and Medical Modelling.

The effect of noise on foreground detection algorithms

Miguel A. Molina-Cabello, Francisco Javier López-Rubio, R. M. Luque-Baena, 2016, Artificial Intelligence Review.

Pneumonia Detection in Chest X-ray Images using Convolutional Neural Networks

Rafael Marcos Luque Baena, R. M. Luque-Baena, E. Palomo, 2022, 2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE).

A self-organizing map to improve vehicle detection in flow monitoring systems

R. M. Luque-Baena, Ezequiel López-Rubio, E. Palomo, 2015, Soft Computing.

The effect of downsampling–upsampling strategy on foreground detection algorithms

Miguel A. Molina-Cabello, R. M. Luque-Baena, Ezequiel López-Rubio, 2020, Artificial Intelligence Review.

Application of genetic algorithms and constructive neural networks for the analysis of microarray cancer data

R. M. Luque-Baena, L. Franco, J. M. Jerez, 2014, Theoretical Biology and Medical Modelling.

Stenosis detection in coronary angiography images using deep learning models

R. M. Luque-Baena, M. Jiménez-Navarro, Ariadna Jiménez-Partinen, 2022, 2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE).

A Competitive Neural Network for Multiple Object Tracking in Video Sequence Analysis

Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio, Esteban J. Palomo, 2012, Neural Processing Letters.

1H NMR-Linked Urinary Metabolic Profiling of Niemann-Pick Class C1 (NPC1) Disease: Identification of Potential New Biomarkers using Correlated Component Regression (CCR) and Genetic Algorithm (GA) Analysis Strategies

R. M. Luque-Baena, D. Elizondo, P. Clayton, 2014 .

The effect of noise on foreground detection algorithms

Miguel A. Molina-Cabello, Ezequiel López-Rubio, Esteban J. Palomo, 2016, Artificial Intelligence Review.

Actas de la XVII Conferencia de la Asociación Española para la Inteligencia Artificial

Miguel A. Molina-Cabello, Stephan M. Winkler, David F. Barrero, 2016 .