Zobrazeno 1 - 10
of 210
pro vyhledávání: '"Martín López-Nores"'
Autor:
Lorena González-Castro, Marcela Chávez, Patrick Duflot, Valérie Bleret, Guilherme Del Fiol, Martín López-Nores
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5909 (2024)
Accurate and early prediction of breast cancer recurrence is crucial to guide medical decisions and treatment success. Machine learning (ML) has shown promise in this domain. However, its effectiveness critically depends on proper hyperparameter sett
Externí odkaz:
https://doaj.org/article/d0fe706f11dd46c6b5f4bd7b48036b64
Autor:
Menna Maged Kamel, Alberto Gil-Solla, Luis Fernando Guerrero-Vásquez, Yolanda Blanco-Fernández, José Juan Pazos-Arias, Martín López-Nores
Publikováno v:
Applied Sciences, Vol 13, Iss 19, p 10623 (2023)
Cultural heritage is one of many fields that has seen a significant digital transformation in the form of digitization and asset annotations for heritage preservation, inheritance, and dissemination. However, a lack of accurate and descriptive metada
Externí odkaz:
https://doaj.org/article/aff7cf16d5ee44f78791b76319df6787
Autor:
Lorena González-Castro, Marcela Chávez, Patrick Duflot, Valérie Bleret, Alistair G. Martin, Marc Zobel, Jama Nateqi, Simon Lin, José J. Pazos-Arias, Guilherme Del Fiol, Martín López-Nores
Publikováno v:
Cancers, Vol 15, Iss 10, p 2741 (2023)
Recurrence is a critical aspect of breast cancer (BC) that is inexorably tied to mortality. Reuse of healthcare data through Machine Learning (ML) algorithms offers great opportunities to improve the stratification of patients at risk of cancer recur
Externí odkaz:
https://doaj.org/article/394978412f144e97b25ec20ffd98cc52
Publikováno v:
Big Data and Cognitive Computing, Vol 7, Iss 1, p 14 (2023)
Cultural heritage is a domain that produces vast amounts of data, but it is also where the meaning of the data is crucially important, particularly to the extent that it refers to people’s opinions, perceptions, and interpretations of their past an
Externí odkaz:
https://doaj.org/article/aa0448c03fca43c7a8f174aa1ff91a51
Publikováno v:
Applied Sciences, Vol 12, Iss 19, p 9804 (2022)
The European Union is investing in the areas of digital skills, digital infrastructures, digitisation of businesses, and public services to speed up numerous administrative processes and to facilitate access to citizens from member countries and neig
Externí odkaz:
https://doaj.org/article/81bb50be1d5b43fe8727017fb8a503fd
Publikováno v:
Sensors, Vol 21, Iss 13, p 4544 (2021)
The forecast of electricity demand has been a recurrent research topic for decades, due to its economical and strategic relevance. Several Machine Learning (ML) techniques have evolved in parallel with the complexity of the electric grid. This paper
Externí odkaz:
https://doaj.org/article/dc0e4505e403416fb2ddf8eb3caebc80
Autor:
Esteban Fernando Ordóñez-Morales, Martín López-Nores, Yolanda Blanco-Fernández, Efren Patricio Reinoso-Mendoza, Jack Fernando Bravo-Torres, José Víctor Saiáns-Vázquez, José Juan Pazos-Arias, Manuel Ramos-Cabrer, Alberto Gil-Solla
Publikováno v:
Journal of Advanced Transportation, Vol 2019 (2019)
Current approaches to Cloud-based Mobile Augmentation (CMA) leverage (cloud-based) resources to meet the requirements of rich mobile applications, so that a terminal (the so-called application node or AppN) can borrow resources lent by a set of colla
Externí odkaz:
https://doaj.org/article/176c7572779a439eb2380d5a23d3cd11
Autor:
Roberto Agustín García-Vélez, Martín López-Nores, Gabriel González-Fernández, Vladimir Espartaco Robles-Bykbaev, Manolis Wallace, José J. Pazos-Arias, Alberto Gil-Solla
Publikováno v:
Applied Sciences, Vol 9, Iss 15, p 3084 (2019)
Universities in Latin America commonly gather much more information about their students than allowed by data protection regulations in other parts of the world. We have tackled the question of whether abundant socio-economic data can be harnessed fo
Externí odkaz:
https://doaj.org/article/868f3b0df16042aa9f5440a972a5f697
Autor:
Martín López-Nores, Omar Gustavo Bravo-Quezada, Maddalena Bassani, Angeliki Antoniou, Ioanna Lykourentzou, Catherine Emma Jones, Kalliopi Kontiza, Silvia González-Soutelo, Susana Reboreda-Morillo, Yannick Naudet, Andreas Vlachidis, Antonis Bikakis, José Juan Pazos-Arias
Publikováno v:
Symmetry, Vol 11, Iss 3, p 367 (2019)
Recent advances in semantic web and deep learning technologies enable new means for the computational analysis of vast amounts of information from the field of digital humanities. We discuss how some of the techniques can be used to identify historic
Externí odkaz:
https://doaj.org/article/d1c6213494214f0399634976fef155d7
Autor:
Abdullah Daif, Ahmed Tarek Dahroug, Martín López-Nores, Silvia González-Soutelo, Maddalena Bassani, Angeliki Antoniou, Alberto Gil-Solla, Manuel Ramos-Cabrer, José J. Pazos-Arias
Publikováno v:
Applied Sciences, Vol 9, Iss 1, p 9 (2018)
The Horizon 2020 project CrossCult aims to highlight historical and cultural associations between different characters, locations, events, venues, or artworks, to develop new strategies with which to promote intercultural and cross-border aspects of
Externí odkaz:
https://doaj.org/article/4dd2d163023a4112beaa827336f14ea7