Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Josefa Díaz Álvarez"'
Autor:
Josefa Díaz Álvarez, Jordi A. Matias-Guiu, María Nieves Cabrera-Martín, José L. Risco-Martín, José L. Ayala
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-12 (2019)
Abstract Background The analysis of health and medical data is crucial for improving the diagnosis precision, treatments and prevention. In this field, machine learning techniques play a key role. However, the amount of health data acquired from digi
Externí odkaz:
https://doaj.org/article/5fa57f4d30e740a5bf809be4ccaaf250
Publikováno v:
Advances in Digital Crime, Forensics, and Cyber Terrorism ISBN: 9781668467411
The limits of user visibility have been exceeded by the internet. The “dark web” or “dark net” refers to certain unknown portions of the web that cannot be found using standard search methods. A number of automated techniques are being explor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec3ef4a817bc1a62132da5ae901dfa99
https://doi.org/10.4018/978-1-6684-6741-1.ch003
https://doi.org/10.4018/978-1-6684-6741-1.ch003
The memory hierarchy has a high impact on the performance and power consumption in the system. Moreover, current embedded systems, included in mobile devices, are specifically designed to run multimedia applications, which are memory intensive. This
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1d36c740465b79b456db1bcee79a76b
http://arxiv.org/abs/2303.16074
http://arxiv.org/abs/2303.16074
Nowadays, embedded systems are provided with cache memories that are large enough to influence in both performance and energy consumption as never occurred before in this kind of systems. In addition, the cache memory system has been identified as a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ae0998aba5aa993e354e091bb3ce83d
http://arxiv.org/abs/2303.03338
http://arxiv.org/abs/2303.03338
Autor:
Josefa Díaz-Álvarez, Pedro A Castillo, Francisco Fernández de Vega, Francisco Chávez, Jorge Alvarado
Publikováno v:
Digibug. Repositorio Institucional de la Universidad de Granada
Consorcio Madroño
Consorcio Madroño
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Spanish Ministry of Economy and Competitiveness under project TIN2017-85727-C4-\{2,4\}
Publikováno v:
2022 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON).
Autor:
Jordi A. Matias-Guiu, Josefa Díaz-Álvarez, José Luis Ayala, José Luis Risco-Martín, Teresa Moreno-Ramos, Vanesa Pytel, Jorge Matias-Guiu, José Luis Carreras, María Nieves Cabrera-Martín
Publikováno v:
Frontiers in Aging Neuroscience, Vol 10 (2018)
Background: Primary progressive aphasia (PPA) is a clinical syndrome characterized by the neurodegeneration of language brain systems. Three main clinical forms (non-fluent, semantic, and logopenic PPA) have been recognized, but applicability of the
Externí odkaz:
https://doaj.org/article/307341ca07f144018c99651cd916585c
Autor:
Fernando García-Gutierrez, Josefa Díaz-Álvarez, Jordi A. Matias-Guiu, Vanesa Pytel, Jorge Matías-Guiu, María Nieves Cabrera-Martín, José L. Ayala
Publikováno v:
E-Prints Complutense. Archivo Institucional de la UCM
instname
instname
Artificial Intelligence aids early diagnosis and development of new treatments, which is key to slow down the progress of the diseases, which to date have no cure. The patients’ evaluation is carried out through diagnostic techniques such as clinic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b2af247ea1939af13ffea023e65f1c0
https://eprints.ucm.es/id/eprint/74111/
https://eprints.ucm.es/id/eprint/74111/
Autor:
Josefa Díaz-Álvarez, Jordi A. Matias-Guiu, María Nieves Cabrera-Martín, Vanesa Pytel, Ignacio Segovia-Ríos, Fernando García-Gutiérrez, Laura Hernández-Lorenzo, Jorge Matias-Guiu, José Luis Carreras, José L. Ayala, Alzheimer’s Disease Neuroimaging Initiative
Publikováno v:
Frontiers in Aging Neuroscience, Vol 13 (2022)
Genetic algorithms have a proven capability to explore a large space of solutions, and deal with very large numbers of input features. We hypothesized that the application of these algorithms to 18F-Fluorodeoxyglucose Positron Emission Tomography (FD
Autor:
Vanesa Pytel, Josefa Díaz‐Álvarez, María Nieves Cabrera‐Martín, Fernando García‐Gutiérrez, Laura Hernández‐Lorenzo, Jorge Matias‐Guiu, José Luis Carreras, José Luis Ayala, Jordi A Matias‐Guiu
Publikováno v:
Alzheimer's & Dementia. 17