Data imputation in the frequency domain using echo state networks

dc.contributor.author	Sánchez Ramos, Luciano
dc.contributor.author	Costa Cortéz, Nahuel Alejandro
dc.contributor.author	Couso Blanco, Inés
dc.date.accessioned	2025-03-31T11:50:12Z
dc.date.available	2025-03-31T11:50:12Z
dc.date.issued	2025
dc.identifier.citation	Engineering Applications of Artificial Intelligence, 144, (2025); doi:10.1016/j.engappai.2025.110129
dc.identifier.issn	0952-1976
dc.identifier.uri	https://hdl.handle.net/10651/78441
dc.description.sponsorship	Supported by Ministerio de Economia e Industria de España, grants PID2020-112726RB-I00 and PID2023-146257OB-I00 and Principado de Asturias, grant IDE/2024/000734
dc.language.iso	eng
dc.relation.ispartof	Engineering Applications of Artificial Intelligence
dc.rights	©,
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216292582&doi=10.1016%2fj.engappai.2025.110129&partnerID=40&md5=3c0de99ef8313f96725dd09d38c233f6
dc.title	Data imputation in the frequency domain using echo state networks
dc.type	journal article
dc.identifier.doi	10.1016/j.engappai.2025.110129
dc.relation.publisherversion	http://dx.doi.org/10.1016/j.engappai.2025.110129

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