Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/16564
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dc.contributor.authorSimjanoska, Monikaen_US
dc.contributor.authorKochev, Stefanen_US
dc.contributor.authorTanevski, Jovanen_US
dc.contributor.authorMadevska Bogdanova, Anaen_US
dc.contributor.authorPapa, Gregoren_US
dc.contributor.authorEftimov, Tomeen_US
dc.date.accessioned2022-02-16T06:53:29Z-
dc.date.available2022-02-16T06:53:29Z-
dc.date.issued2020-06-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/16564-
dc.publisherElsevier BVen_US
dc.relation.ispartofInformation Fusionen_US
dc.titleMulti-level information fusion for learning a blood pressure predictive model using sensor dataen_US
dc.identifier.doi10.1016/j.inffus.2019.12.008-
dc.identifier.urlhttps://api.elsevier.com/content/article/PII:S156625351830767X?httpAccept=text/xml-
dc.identifier.urlhttps://api.elsevier.com/content/article/PII:S156625351830767X?httpAccept=text/plain-
dc.identifier.volume58-
item.fulltextWith Fulltext-
item.grantfulltextopen-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles
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