A Recurrent Multivalued Neural Network for the N-Queens Problem. - Enrique Mérida Casermeiro; José Muñoz; Rafaela Benítez-Rochel (IWANN (1), 2001)

A Recurrent Multivalued Neural Network for Codebook Generation in Vector Quantization. - Rafaela Benítez-Rochel; José Muñoz-Pérez; Enrique Mérida Casermeiro (IWANN (1), 2003)

Neural Implementation of Dijkstra's Algorithm. - Enrique Mérida Casermeiro; José Muñoz-Pérez; Rafaela Benítez-Rochel (IWANN (1), 2003)

Parallelism in Binary Hopfield Networks. - José Muñoz-Pérez; Amparo Ruiz-Sepúlveda; Rafaela Benítez-Rochel (IWANN (2), 2011)

Content Based Image Retrieval by Convolutional Neural Networks. - Safa Hamreras; Rafaela Benítez-Rochel; Bachir Boucheham; Miguel A. Molina-Cabello; Ezequiel López-Rubio (IWINAC (2), 2019)

The Impact of Linear Motion Blur on the Object Recognition Efficiency of Deep Convolutional Neural Networks. - José A. Rodríguez-Rodríguez; Miguel A. Molina-Cabello; Rafaela Benítez-Rochel; Ezequiel López-Rubio (ICPR Workshops (6), 2020)

The Effect of Noise and Brightness on Convolutional Deep Neural Networks. - José A. Rodríguez-Rodríguez; Miguel A. Molina-Cabello; Rafaela Benítez-Rochel; Ezequiel López-Rubio (ICPR Workshops (6), 2020)

The effect of image enhancement algorithms on convolutional neural networks. - José A. Rodríguez-Rodríguez; Miguel A. Molina-Cabello; Rafaela Benítez-Rochel; Ezequiel López-Rubio (ICPR, 2020)

Content based image retrieval by ensembles of deep learning object classifiers. - Safa Hamreras; Bachir Boucheham; Miguel A. Molina-Cabello; Rafaela Benítez-Rochel; Ezequiel López-Rubio (Integr. Comput. Aided Eng., 2020)

Exploratory Data Analysis and Foreground Detection with the Growing Hierarchical Neural Forest. - Esteban J. Palomo; Ezequiel López-Rubio; Francisco Ortega-Zamorano; Rafaela Benítez-Rochel (Neural Process. Lett., 2020)

Dynamic selection of classifiers for Content Based Image Retrieval. - Safa Hamreras; Bachir Boucheham; Miguel A. Molina-Cabello; Rafaela Benítez-Rochel; Ezequiel López-Rubio (IJCNN, 2021)

Test time augmentation by regular shifting for deep denoising autoencoder networks. - José A. Rodríguez-Rodríguez; Miguel A. Molina-Cabello; Rafaela Benítez-Rochel; Ezequiel López-Rubio (IJCNN, 2021)

Anomalous Trajectory Detection for Automated Traffic Video Surveillance. - Jose D. Fernández 001; Jorge García-González; Rafaela Benítez-Rochel; Miguel A. Molina-Cabello; Ezequiel López-Rubio (IWINAC (1), 2022)

Automated detection of vehicles with anomalous trajectories in traffic surveillance videos. - Jose David Fernández Rodriguez; Jorge García-González; Rafaela Benítez-Rochel; Miguel A. Molina-Cabello; Gonzalo Ramos-Jiménez; Ezequiel López-Rubio (Integr. Comput. Aided Eng., 2023)

Unsupervised Detection of Incoming and Outgoing Traffic Flows in Video Sequences. - José David Fernández-Rodríguez; Pablo Carmona-Martínez; Rafaela Benítez-Rochel; Miguel A. Molina-Cabello; Ezequiel López-Rubio (IWINAC (2), 2024)

Early Breast Cancer Detection by Automated Analysis of Mammograms with Deep Convolutional Networks. - Guillermo Tell-González; Ezequiel López-Rubio; Rafaela Benítez-Rochel; Miguel A. Molina-Cabello (SOCO (2), 2024)