Zobrazeno 1 - 10
of 110
pro vyhledávání: '"David Elizondo"'
Publikováno v:
Journal of Universal Computer Science, Vol 30, Iss 1, Pp 3-24 (2024)
The capability of offering patient-centered healthcare services involves knowing the consumer needs. Many of these needs can be conveyed through opinions about services that can be found on social networks. The consumers/patients can express their co
Externí odkaz:
https://doaj.org/article/d7f0f92cec554857bc63d0ca98296d89
Publikováno v:
Mathematics, Vol 12, Iss 19, p 3153 (2024)
This paper proposes a novel method capable of both detecting OOD data and generating in-distribution data samples. To achieve this, a VAE model is adopted and augmented with a memory module, providing capacities for identifying OOD data and synthesis
Externí odkaz:
https://doaj.org/article/7a3825705ed94d06bc662a966a14c6b1
Autor:
María Gema Carrasco-García, María Inmaculada Rodríguez-García, Juan Jesús Ruíz-Aguilar, Lipika Deka, David Elizondo, Ignacio José Turias Domínguez
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 3, p 495 (2024)
Hyperspectral technology has been playing a leading role in monitoring oil spills in marine environments, which is an issue of international concern. In the case of monitoring oil spills in local areas, hyperspectral technology of small dimensions is
Externí odkaz:
https://doaj.org/article/5de86130d0be4562beb5d06c0edbb36c
Autor:
Cristóbal J. Carmona, Manuel German-Morales, David Elizondo, Victor Ruiz-Rodado, Martin Grootveld
Publikováno v:
Metabolites, Vol 13, Iss 10, p 1079 (2023)
In this investigation, we outline the applications of a data mining technique known as Subgroup Discovery (SD) to the analysis of a sample size-limited metabolomics-based dataset. The SD technique utilized a supervised learning strategy, which lies m
Externí odkaz:
https://doaj.org/article/c8f09aff087e4952bac64ee9fa86f753
Publikováno v:
IEEE Access, Vol 9, Pp 92224-92238 (2021)
Inductors are cornerstone components in power electronics converters. Since winding loss is the dominant loss mechanism in these components, its accurate measurement is fundamental for the validation of the inductor’s operation and design. The tech
Externí odkaz:
https://doaj.org/article/9d4197fa2c4b43d5a62688485aa49c22
Autor:
Álvaro Iribarren, David Elizondo, Ernesto L. Barrios, Harkaitz Ibaiondo, Alain Sanchez-Ruiz, Joseba Arza, Pablo Sanchis, Alfredo Ursúa
Publikováno v:
IEEE Transactions on Industry Applications. 59:3741-3753
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e12e9eb333afec9e51be812098afb37
https://doi.org/10.1109/tia.2023.3247405
https://doi.org/10.1109/tia.2023.3247405
Publikováno v:
IEEE Transactions on Industry Applications. 59:3576-3592
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da6b697fdbf571ca626698343250299b
https://doi.org/10.1109/tia.2023.3250205
https://doi.org/10.1109/tia.2023.3250205
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:
IEEE Transactions on Artificial Intelligence. 3:1015-1029
Deep learning methodologies have been employed in several different fields, with an outstanding success in image recognition applications, such as material quality control, medical imaging, autonomous driving, etc. Deep learning models rely on the ab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0406daa6afce063ae6a1d3a687cf0e5d
https://doi.org/10.1109/tai.2022.3196326
https://doi.org/10.1109/tai.2022.3196326
Publikováno v:
Neurocomputing. 492:91-106
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::551ef7ff4e58e3cb4d8c23efe6481f65
https://doi.org/10.1016/j.neucom.2022.04.002
https://doi.org/10.1016/j.neucom.2022.04.002