Zobrazeno 1 - 10
of 278
pro vyhledávání: '"Sánchez-Puente A"'
Autor:
Francisco García-Peñalvo, Andrea Vázquez-Ingelmo, Alicia García-Holgado, Jesús Sampedro-Gómez, Antonio Sánchez-Puente, Víctor Vicente-Palacios, P. Ignacio Dorado-Díaz, Pedro L. Sánchez
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 8, Iss 6, Pp 112-119 (2024)
Machine Learning (ML) has extended its use in several domains to support complex analyses of data. The medical field, in which significant quantities of data are continuously generated, is one of the domains that can benefit from the application of M
Externí odkaz:
https://doaj.org/article/d2a1b720945e44dabbc15defbfd14e3f
Autor:
Toussaint, Wiebke, Van Veen, Dave, Irwin, Courtney, Nachmany, Yoni, Barreiro-Perez, Manuel, Díaz-Peláez, Elena, de Sousa, Sara Guerreiro, Millán, Liliana, Sánchez, Pedro L., Sánchez-Puente, Antonio, Sampedro-Gómez, Jesús, Dorado-Díaz, P. Ignacio, Vicente-Palacios, Víctor
Deep learning has the potential to automate echocardiogram analysis for early detection of heart disease. Based on a qualitative analysis of design concerns, this study suggests that predicting normal heart function instead of disease accounts for da
Externí odkaz:
http://arxiv.org/abs/2006.06292
Autor:
Sánchez-Puente, Antonio, Dorado-Díaz, P. Ignacio, Sampedro-Gómez, Jesús, Bermejo, Javier, Martinez-Legazpi, Pablo, Fernández-Avilés, Francisco, Sánchez-González, Javier, Pérez del Villar, Candelas, Vicente-Palacios, Víctor, Sanchez, Pedro L.
Publikováno v:
In JACC: Cardiovascular Imaging June 2023 16(6):733-744
Autor:
Alicia García-Holgado, Andrea Vázquez-Ingelmo, Julia Alonso-Sánchez, Francisco José García-Peñalvo, Roberto Therón, Jesús Sampedro-Gómez, Antonio Sánchez-Puente, Víctor Vicente-Palacios, P. Ignacio Dorado-Díaz, Pedro L. Sánchez
Publikováno v:
Journal on Interactive Systems, Vol 13, Iss 1, Pp 154-165 (2022)
Machine Learning allows facing complex tasks related to data analysis with big datasets. This Artificial Intelligence branch allows not technical contexts to get benefits related to data processing and analysis. In particular, in medicine, medical pr
Externí odkaz:
https://doaj.org/article/0d656bb3e9994dbba6a8235f43be24ce
Autor:
José García-Peñalvo, Francisco, Vázquez-Ingelmo, Andrea, García-Holgado, Alicia, Sampedro-Gómez, Jesús, Sánchez-Puente, Antonio, Vicente-Palacios, Víctor, Ignacio Dorado-Díaz, P., Sánchez, Pedro L.
Publikováno v:
International Journal of Interactive Multimedia & Artificial Intelligence; Jun2024, Vol. 8 Issue 6, p112-119, 8p
Geodesic completeness is typically regarded as a basic criterion to determine whether a given spacetime is regular or singular. However, the principle of general covariance does not privilege any family of observers over the others and, therefore, ob
Externí odkaz:
http://arxiv.org/abs/1710.08712
Autor:
Sanchez-Puente, Antonio
This thesis deals with the problem of singularities in a family of extensions of General Relativity in the Metric-Affine formalism. I introduce the Metric-Affine formalism as a framework in which study extensions of GR. I review its features and moti
Externí odkaz:
http://arxiv.org/abs/1704.06524
Publikováno v:
Class.Quant.Grav 33 (2016) no.11, 115007
The impact of curvature divergences on physical observers in a black hole space-time which, nonetheless, is geodesically complete is investigated. This space-time is an exact solution of certain extensions of General Relativity coupled to Maxwell's e
Externí odkaz:
http://arxiv.org/abs/1602.01798
Using exactly solvable models, it is shown that black hole singularities in different electrically charged configurations can be cured. Our solutions describe black hole space-times with a wormhole giving structure to the otherwise point-like singula
Externí odkaz:
http://arxiv.org/abs/1601.00161
Publikováno v:
Phys. Rev. D 92 (2015) 4, 044047
The geometry of a spacetime containing a wormhole generated by a spherically symmetric electric field is investigated in detail. These solutions arise in high-energy extensions of General Relativity formulated within the Palatini approach and coupled
Externí odkaz:
http://arxiv.org/abs/1508.03272