Rafaela Benítez-Rochel

According to our database, Rafaela Benítez-Rochel authored at least 15 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

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

Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, 2024

2023

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

2022

Anomalous Trajectory Detection for Automated Traffic Video Surveillance.

Jose D. Fernández, Jorge García-González, Rafaela Benítez-Rochel, Miguel A. Molina-Cabello, Ezequiel López-Rubio

Proceedings of the Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence, 2022

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

Proceedings of the International Joint Conference on Neural Networks, 2021

Dynamic selection of classifiers for Content Based Image Retrieval.

Safa Hamreras, Bachir Boucheham, Miguel A. Molina-Cabello, Rafaela Benítez-Rochel, Ezequiel López-Rubio

Proceedings of the International Joint Conference on Neural Networks, 2021

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

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

The effect of image enhancement algorithms on convolutional neural networks.

José A. Rodríguez-Rodríguez, Miguel A. Molina-Cabello, Rafaela Benítez-Rochel, Ezequiel López-Rubio

Proceedings of the 25th International Conference on Pattern Recognition, 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

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

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

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019

Content Based Image Retrieval by Convolutional Neural Networks.

Safa Hamreras, Rafaela Benítez-Rochel, Bachir Boucheham, Miguel A. Molina-Cabello, Ezequiel López-Rubio

Proceedings of the From Bioinspired Systems and Biomedical Applications to Machine Learning, 2019

2011

Parallelism in Binary Hopfield Networks.

José Muñoz-Pérez, Amparo Ruiz-Sepúlveda, Rafaela Benítez-Rochel

Proceedings of the Advances in Computational Intelligence, 2011

2003

Neural Implementation of Dijkstra's Algorithm.

Enrique Mérida Casermeiro, José Muñoz-Pérez, Rafaela Benítez-Rochel

Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

A Recurrent Multivalued Neural Network for Codebook Generation in Vector Quantization.

Rafaela Benítez-Rochel, José Muñoz-Pérez, Enrique Mérida Casermeiro

Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

2001

A Recurrent Multivalued Neural Network for the N-Queens Problem.

Enrique Mérida Casermeiro, José Muñoz, Rafaela Benítez-Rochel

Proceedings of the Connectionist Models of Neurons, 2001