Zobrazeno 1 - 10
of 162
pro vyhledávání: '"Ezequiel López-Rubio"'
Autor:
José A. Rodríguez-Rodríguez, Ezequiel López-Rubio, Juan A. Ángel-Ruiz, Miguel A. Molina-Cabello
Publikováno v:
Sensors, Vol 24, Iss 3, p 821 (2024)
The application of deep learning to image and video processing has become increasingly popular nowadays. Employing well-known pre-trained neural networks for detecting and classifying objects in images is beneficial in a wide range of application fie
Externí odkaz:
https://doaj.org/article/13069b93f4ac41c792974a8af8d1b42b
Publikováno v:
Axioms, Vol 12, Iss 12, p 1117 (2023)
This paper investigates the distribution characteristics of Fourier, discrete cosine, and discrete sine transform coefficients in T1 MRI images. This paper reveals their adherence to Benford’s law, characterized by a logarithmic distribution of fir
Externí odkaz:
https://doaj.org/article/413889e0c6d24fb4920850c3526597f0
Publikováno v:
Sensors, Vol 23, Iss 16, p 7185 (2023)
Anomaly detection in sequences is a complex problem in security and surveillance. With the exponential growth of surveillance cameras in urban roads, automating them to analyze the data and automatically identify anomalous events efficiently is essen
Externí odkaz:
https://doaj.org/article/f492c4e78b6d410fb28fa5427808dcc7
Autor:
Jose D. Fernández-Rodríguez, Jorge García-González, Rafaela Benítez-Rochel, Miguel A. Molina-Cabello, Gonzalo Ramos-Jiménez, Ezequiel López-Rubio
Publikováno v:
Integrated Computer-Aided Engineering. 30:293-309
Video feeds from traffic cameras can be useful for many purposes, the most critical of which are related to monitoring road safety. Vehicle trajectory is a key element in dangerous behavior and traffic accidents. In this respect, it is crucial to det
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcaaaabea6a4146dc12ae08cdc7e95d0
https://doi.org/10.3233/ica-230706
https://doi.org/10.3233/ica-230706
Autor:
José David Fernández-Rodríguez, Esteban José Palomo, Juan Miguel Ortiz-de-Lazcano-Lobato, Gonzalo Ramos-Jiménez, Ezequiel López-Rubio
Publikováno v:
Integrated Computer-Aided Engineering. 30:257-273
The dilemma between stability and plasticity is crucial in machine learning, especially when non-stationary input distributions are considered. This issue can be addressed by continual learning in order to alleviate catastrophic forgetting. This stra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7d1eae38d79dcc72a2eb2ef408241c5
https://doi.org/10.3233/ica-230701
https://doi.org/10.3233/ica-230701
Autor:
Iván García-Aguilar, Jorge García-González, Rafael M. Luque-Baena, Ezequiel López-Rubio, Enrique Domínguez
Publikováno v:
Integrated Computer-Aided Engineering. 30:243-256
The rise of surveillance systems has led to exponential growth in collected data, enabling several advances in Deep Learning to exploit them and automate tasks for autonomous systems. Vehicle detection is a crucial task in the fields of Intelligent V
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb12cd5cae36ff23275ede7e103aa3ca
https://doi.org/10.3233/ica-230700
https://doi.org/10.3233/ica-230700
Autor:
Saul Calderon-Ramirez, Luis Oala, Jordina Torrents-Barrena, Shengxiang Yang, David Elizondo, Armaghan Moemeni, Simon Colreavy-Donnelly, Wojciech Samek, Miguel A. Molina-Cabello, Ezequiel López-Rubio
Publikováno v:
IEEE Transactions on Artificial Intelligence. 4:282-291
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. Semi-supervised deep learning (SSDL) is a popular strategy to leverage unlabelled data for machine lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebd9fb3890f51ac2e43abe333d1f5dbf
https://doi.org/10.1109/tai.2022.3168804
https://doi.org/10.1109/tai.2022.3168804
Publikováno v:
Pattern Recognition Letters. 167:45-52
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eec4345db45ddc0c6617782063be4272
https://doi.org/10.1016/j.patrec.2023.01.015
https://doi.org/10.1016/j.patrec.2023.01.015
Autor:
José David Fernández-Rodríguez, Esteban J. Palomo, Jesús Benito-Picazo, Enrique Domínguez, Ezequiel López-Rubio, Francisco Ortega-Zamorano
Publikováno v:
Neurocomputing. 544:126288
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8437ddcf62a21c5a2f6045ba14064a8e
https://doi.org/10.1016/j.neucom.2023.126288
https://doi.org/10.1016/j.neucom.2023.126288
Publikováno v:
Neural Processing Letters. 52:2537-2563
In this paper, a new self-organizing artificial neural network called growing hierarchical neural forest (GHNF) is proposed. The GHNF is a hierarchical model based on the growing neural forest, which is a tree-based model that learns a set of trees (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67f8abd953da4812c9f0a76a2107159a
https://doi.org/10.1007/s11063-020-10360-2
https://doi.org/10.1007/s11063-020-10360-2