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dc.rights.licenseAttribution 4.0 International
dc.contributor.authorWang, Xinyi
dc.contributor.authorAli, Shaukat
dc.contributor.authorArrieta Marcos, Aitor
dc.contributor.authorArcaini, Paolo
dc.contributor.authorArratibel, Maite
dc.date.accessioned2026-04-20T07:20:51Z
dc.date.available2026-04-20T07:20:51Z
dc.date.issued2024
dc.identifier.isbn979-8-4007-0658-5
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=178698
dc.identifier.urihttps://hdl.handle.net/20.500.11984/14173
dc.format.extentp.
dc.language.isoeng
dc.publisherAssociation for Computing Machinery
dc.rights© 2024
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleApplication of Quantum Extreme Learning Machines for QoS Prediction of Elevators Software in an Industrial Context
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2
dcterms.sourceACM International Conference on the Foundations of Software Engineering (FSE)
local.contributor.groupIngeniería del software y sistemas
local.description.peerreviewedtrue
local.identifier.doihttps://doi.org/10.1145/3663529.3663859
local.identifier.doihttps://doi.org/10.48550/arXiv.2402.12777
local.contributor.otherinstitutionhttps://ror.org/04q12yn84
local.contributor.otherinstitutionOrona
local.contributor.otherinstitutionhttps://ror.org/01xtthb56
local.contributor.otherinstitutionhttps://ror.org/00wvqgd19
local.source.details32. Pp. 399-410. Porto de Galinhas (Brasil), 15-19 julio, 2024
oaire.format.mimetypeapplication/pdf
oaire.file$DSPACE\assetstore
oaire.resourceTypehttp://purl.org/coar/resource_type/c_c94f
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
dc.unesco.tesaurohttp://vocabularies.unesco.org/thesaurus/concept450
dc.unesco.clasificacionhttp://skos.um.es/unesco6/120317


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Attribution 4.0 International
Except where otherwise noted, this item's license is described as Attribution 4.0 International