Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/8904
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dc.contributor.authorAntovski, Antonioen_US
dc.contributor.authorKostadinovska, Stefanien_US
dc.contributor.authorSimjanoska, Monikaen_US
dc.contributor.authorEftimov, Tomeen_US
dc.contributor.authorAckovska, Nevenaen_US
dc.contributor.authorMadevska Bogdanova, Anaen_US
dc.date.accessioned2020-09-05T15:58:01Z-
dc.date.available2020-09-05T15:58:01Z-
dc.date.issued2019-02-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/8904-
dc.language.isoenen_US
dc.publisherSCITEPRESS - Science and Technology Publicationsen_US
dc.titleData-driven Autism Biomarkers Selection by using Signal Processing and Machine Learning Techniquesen_US
dc.typeArticleen_US
dc.relation.conferenceProceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologiesen_US
dc.identifier.doi10.5220/0007398902010208-
item.grantfulltextopen-
item.fulltextWith Fulltext-
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: Conference papers
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