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  3. Faculty of Computer Science and Engineering
  4. Faculty of Computer Science and Engineering: Journal Articles

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Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/14049
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dc.contributor.authorZdravevski, Eftimen_US
dc.contributor.authorLameski, Petreen_US
dc.contributor.authorTrajkovikj, Vladimiren_US
dc.contributor.authorKulakov, Andreaen_US
dc.contributor.authorCHorbev, Ivanen_US
dc.contributor.authorGoleva, Rossitzaen_US
dc.contributor.authorPombo, Nunoen_US
dc.contributor.authorGarcia, Nunoen_US
dc.date.accessioned2021-07-06T09:47:07Z-
dc.date.available2021-07-06T09:47:07Z-
dc.date.issued2017-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/14049-
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartofIEEE Accessen_US
dc.titleImproving Activity Recognition Accuracy in Ambient-Assisted Living Systems by Automated Feature Engineeringen_US
dc.identifier.doi10.1109/access.2017.2684913-
dc.identifier.urlhttp://xplorestaging.ieee.org/ielx7/6287639/7859429/07883880.pdf?arnumber=7883880-
dc.identifier.volume5-
item.fulltextWith Fulltext-
item.grantfulltextopen-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
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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