Zobrazeno 1 - 10
of 156
pro vyhledávání: '"Duran, Victor"'
Autor:
Perera-Lago, Javier, Toscano-Durán, Víctor, Paluzo-Hidalgo, Eduardo, Narteni, Sara, Rucco, Matteo
Machine learning algorithms are fundamental components of novel data-informed Artificial Intelligence architecture. In this domain, the imperative role of representative datasets is a cornerstone in shaping the trajectory of artificial intelligence (
Externí odkaz:
http://arxiv.org/abs/2404.09541
Autor:
Toscano-Durán, Víctor, Perera-Lago, Javier, Paluzo-Hidalgo, Eduardo, Gonzalez-Diaz, Rocío, Gutierrez-Naranjo, Miguel Ángel, Rucco, Matteo
In recent years, Deep Learning has gained popularity for its ability to solve complex classification tasks, increasingly delivering better results thanks to the development of more accurate models, the availability of huge volumes of data and the imp
Externí odkaz:
http://arxiv.org/abs/2403.15150
Publikováno v:
Comput. Ind. 126: 103403 (2021)
Many different worldwide initiatives are promoting the transformation from machine dominant manufacturing to digital manufacturing. Thus, to achieve a successful transformation to Industry 4.0 standard, manufacturing enterprises are required to imple
Externí odkaz:
http://arxiv.org/abs/2401.17661
Publikováno v:
Semantic Web 11(6): 887-909 (2020)
Semantically rich descriptions of manufacturing machines, offered in a machine-interpretable code, can provide interesting benefits in Industry 4.0 scenarios. However, the lack of that type of descriptions is evident. In this paper we present the dev
Externí odkaz:
http://arxiv.org/abs/2401.11848
Autor:
Abad, Gorka, Paguada, Servio, Ersoy, Oguzhan, Picek, Stjepan, Ramírez-Durán, Víctor Julio, Urbieta, Aitor
Federated Learning (FL) enables collaborative training of Deep Learning (DL) models where the data is retained locally. Like DL, FL has severe security weaknesses that the attackers can exploit, e.g., model inversion and backdoor attacks. Model inver
Externí odkaz:
http://arxiv.org/abs/2203.08689
Recent privacy awareness initiatives such as the EU General Data Protection Regulation subdued Machine Learning (ML) to privacy and security assessments. Federated Learning (FL) grants a privacy-driven, decentralized training scheme that improves ML
Externí odkaz:
http://arxiv.org/abs/2112.05423
Publikováno v:
In Earth System Governance April 2024 20
Autor:
Durán, Víctor Alberto, Bernardi, Sol Zárate, Yebra, Lucía, Frigolé, Cecilia, Lucero, Gustavo, Andreoni, Diego, Winocur, Diego, Gasco, Alejandra, Marsh, Erik, Castro, Silvina, Zonana, María Inés, Barberena, Ramiro, Cortegoso, Valeria
Publikováno v:
Estudios Atacameños, 2021 Jan 01. 67, 1-35.
Externí odkaz:
https://www.jstor.org/stable/48718410
Publikováno v:
In Journal of Arid Environments September 2021 192
Publikováno v:
In Big Data Research 15 July 2021 25