Rafaela Benítez-Rochel

17 papers B 3Journal 4Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
Consensus-Based 3D View Generation from Noisy Images.
Int. J. Neural Syst.
José A. Rodríguez-Rodríguez, Miguel A. Molina-Cabello, Rafaela Benítez-Rochel, Ezequiel López-Rubio
2024 — conf
Early Breast Cancer Detection by Automated Analysis of Mammograms with Deep Convolutional Networks.
SOCO (2)
Guillermo Tell-González, Ezequiel López-Rubio, Rafaela Benítez-Rochel, Miguel A. Molina-Cabello
2024 — conf
Unsupervised Detection of Incoming and Outgoing Traffic Flows in Video Sequences.
IWINAC (2)
José David Fernández-Rodríguez, Pablo Carmona-Martínez, Rafaela Benítez-Rochel, Miguel A. Molina-Cabello, Ezequiel López-Rubio
2023 J jnl
Automated detection of vehicles with anomalous trajectories in traffic surveillance videos.
Integr. Comput. Aided Eng.
Jose David Fernández Rodriguez, Jorge García-González, Rafaela Benítez-Rochel, Miguel A. Molina-Cabello, Gonzalo Ramos-Jiménez, Ezequiel López-Rubio
2022 — conf
Anomalous Trajectory Detection for Automated Traffic Video Surveillance.
IWINAC (1)
Jose D. Fernández, Jorge García-González, Rafaela Benítez-Rochel, Miguel A. Molina-Cabello, Ezequiel López-Rubio
2021 B conf
Dynamic selection of classifiers for Content Based Image Retrieval.
IJCNN
Safa Hamreras, Bachir Boucheham, Miguel A. Molina-Cabello, Rafaela Benítez-Rochel, Ezequiel López-Rubio
2021 B conf
Test time augmentation by regular shifting for deep denoising autoencoder networks.
IJCNN
José A. Rodríguez-Rodríguez, Miguel A. Molina-Cabello, Rafaela Benítez-Rochel, Ezequiel López-Rubio
2020 J jnl
Content based image retrieval by ensembles of deep learning object classifiers.
Integr. Comput. Aided Eng.
Safa Hamreras, Bachir Boucheham, Miguel A. Molina-Cabello, Rafaela Benítez-Rochel, Ezequiel López-Rubio
2020 J jnl
Exploratory Data Analysis and Foreground Detection with the Growing Hierarchical Neural Forest.
Neural Process. Lett.
Esteban J. Palomo, Ezequiel López-Rubio, Francisco Ortega-Zamorano, Rafaela Benítez-Rochel
2020 — conf
The Effect of Noise and Brightness on Convolutional Deep Neural Networks.
ICPR Workshops (6)
José A. Rodríguez-Rodríguez, Miguel A. Molina-Cabello, Rafaela Benítez-Rochel, Ezequiel López-Rubio
2020 — conf
The Impact of Linear Motion Blur on the Object Recognition Efficiency of Deep Convolutional Neural Networks.
ICPR Workshops (6)
José A. Rodríguez-Rodríguez, Miguel A. Molina-Cabello, Rafaela Benítez-Rochel, Ezequiel López-Rubio
2020 B conf
The effect of image enhancement algorithms on convolutional neural networks.
ICPR
José A. Rodríguez-Rodríguez, Miguel A. Molina-Cabello, Rafaela Benítez-Rochel, Ezequiel López-Rubio
2019 — conf
Content Based Image Retrieval by Convolutional Neural Networks.
IWINAC (2)
Safa Hamreras, Rafaela Benítez-Rochel, Bachir Boucheham, Miguel A. Molina-Cabello, Ezequiel López-Rubio
2011 — conf
Parallelism in Binary Hopfield Networks.
IWANN (2)
José Muñoz-Pérez, Amparo Ruiz-Sepúlveda, Rafaela Benítez-Rochel
2003 — conf
A Recurrent Multivalued Neural Network for Codebook Generation in Vector Quantization.
IWANN (1)
Rafaela Benítez-Rochel, José Muñoz-Pérez, Enrique Mérida Casermeiro
2003 — conf
Neural Implementation of Dijkstra's Algorithm.
IWANN (1)
Enrique Mérida Casermeiro, José Muñoz-Pérez, Rafaela Benítez-Rochel
2001 — conf
A Recurrent Multivalued Neural Network for the N-Queens Problem.
IWANN (1)
Enrique Mérida Casermeiro, José Muñoz, Rafaela Benítez-Rochel