Rafaela Benítez-Rochel

Content Based Image Retrieval by Convolutional Neural Networks

Miguel A. Molina-Cabello, Ezequiel López-Rubio, Bachir Boucheham, 2019, IWINAC.

Content based image retrieval by ensembles of deep learning object classifiers

Miguel A. Molina-Cabello, Ezequiel López-Rubio, Bachir Boucheham, 2020, Integr. Comput. Aided Eng..

A Recurrent Multivalued Neural Network for Codebook Generation in Vector Quantization

Enrique Mérida Casermeiro, José Muñoz-Pérez, Rafaela Benítez-Rochel, 2003, IWANN.

Exploratory Data Analysis and Foreground Detection with the Growing Hierarchical Neural Forest

Ezequiel López-Rubio, Esteban J. Palomo, Francisco Ortega-Zamorano, 2020, Neural Processing Letters.

Neural Implementation of Dijkstra's Algorithm

Enrique Mérida Casermeiro, José Muñoz-Pérez, Rafaela Benítez-Rochel, 2003, IWANN.

Parallelism in Binary Hopfield Networks

José Muñoz-Pérez, Amparo Ruiz-Sepúlveda, Rafaela Benítez-Rochel, 2011, IWANN.

The effect of image enhancement algorithms on convolutional neural networks

Miguel A. Molina-Cabello, Ezequiel López-Rubio, Rafaela Benítez-Rochel, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Test time augmentation by regular shifting for deep denoising autoencoder networks

Miguel A. Molina-Cabello, Ezequiel López-Rubio, Rafaela Benítez-Rochel, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Dynamic selection of classifiers for Content Based Image Retrieval

Miguel A. Molina-Cabello, Ezequiel López-Rubio, Bachir Boucheham, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).