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Rafaela Benítez-Rochel
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Journal Articles
- 2023
- [j3]Jose David Fernández Rodriguez, Jorge García-González, Rafaela Benítez-Rochel, Miguel A. Molina-Cabello, Gonzalo Ramos-Jiménez, Ezequiel López-Rubio:
Automated detection of vehicles with anomalous trajectories in traffic surveillance videos. Integr. Comput. Aided Eng. 30(3): 293-309 (2023) - 2020
- [j2]Safa Hamreras, Bachir Boucheham, Miguel A. Molina-Cabello, Rafaela Benítez-Rochel, Ezequiel López-Rubio:
Content based image retrieval by ensembles of deep learning object classifiers. Integr. Comput. Aided Eng. 27(3): 317-331 (2020) - [j1]Esteban J. Palomo, Ezequiel López-Rubio, Francisco Ortega-Zamorano, Rafaela Benítez-Rochel:
Exploratory Data Analysis and Foreground Detection with the Growing Hierarchical Neural Forest. Neural Process. Lett. 52(3): 2537-2563 (2020)
Conference and Workshop Papers
- 2024
- [c12]José David Fernández-Rodríguez, Pablo Carmona-Martínez, Rafaela Benítez-Rochel, Miguel A. Molina-Cabello, Ezequiel López-Rubio:
Unsupervised Detection of Incoming and Outgoing Traffic Flows in Video Sequences. IWINAC (2) 2024: 3-12 - 2022
- [c11]Jose D. Fernández, Jorge García-González, Rafaela Benítez-Rochel, Miguel A. Molina-Cabello, Ezequiel López-Rubio:
Anomalous Trajectory Detection for Automated Traffic Video Surveillance. IWINAC (1) 2022: 173-182 - 2021
- [c10]Safa Hamreras, Bachir Boucheham, Miguel A. Molina-Cabello, Rafaela Benítez-Rochel, Ezequiel López-Rubio:
Dynamic selection of classifiers for Content Based Image Retrieval. IJCNN 2021: 1-8 - [c9]José A. Rodríguez-Rodríguez, Miguel A. Molina-Cabello, Rafaela Benítez-Rochel, Ezequiel López-Rubio:
Test time augmentation by regular shifting for deep denoising autoencoder networks. IJCNN 2021: 1-7 - 2020
- [c8]José A. Rodríguez-Rodríguez, Miguel A. Molina-Cabello, Rafaela Benítez-Rochel, Ezequiel López-Rubio:
The Impact of Linear Motion Blur on the Object Recognition Efficiency of Deep Convolutional Neural Networks. ICPR Workshops (6) 2020: 611-622 - [c7]José A. Rodríguez-Rodríguez, Miguel A. Molina-Cabello, Rafaela Benítez-Rochel, Ezequiel López-Rubio:
The Effect of Noise and Brightness on Convolutional Deep Neural Networks. ICPR Workshops (6) 2020: 639-654 - [c6]José A. Rodríguez-Rodríguez, Miguel A. Molina-Cabello, Rafaela Benítez-Rochel, Ezequiel López-Rubio:
The effect of image enhancement algorithms on convolutional neural networks. ICPR 2020: 3084-3089 - 2019
- [c5]Safa Hamreras, Rafaela Benítez-Rochel, Bachir Boucheham, Miguel A. Molina-Cabello, Ezequiel López-Rubio:
Content Based Image Retrieval by Convolutional Neural Networks. IWINAC (2) 2019: 277-286 - 2011
- [c4]José Muñoz-Pérez, Amparo Ruiz-Sepúlveda, Rafaela Benítez-Rochel:
Parallelism in Binary Hopfield Networks. IWANN (2) 2011: 105-112 - 2003
- [c3]Rafaela Benítez-Rochel, José Muñoz-Pérez, Enrique Mérida Casermeiro:
A Recurrent Multivalued Neural Network for Codebook Generation in Vector Quantization. IWANN (1) 2003: 294-301 - [c2]Enrique Mérida Casermeiro, José Muñoz-Pérez, Rafaela Benítez-Rochel:
Neural Implementation of Dijkstra's Algorithm. IWANN (1) 2003: 342-349 - 2001
- [c1]Enrique Mérida Casermeiro, José Muñoz, Rafaela Benítez-Rochel:
A Recurrent Multivalued Neural Network for the N-Queens Problem. IWANN (1) 2001: 522-529
Coauthor Index
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