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Title: A fusion of classical and deep machine learning for mobile health and behavior monitoring with wearable sensors : doctoral dissertation Authors: ID Gjoreski, Martin (Author) ID Gams, Matjaž (Mentor) More about this mentor... ID Luštrek, Mitja (Comentor) Files: DR_Gjoreski_Martin_2020.pdf (42,49 MB) MD5: 3C121A79A6215E844D0352216FE7381A   Language: English Work type: Dissertation Typology: 2.08 - Doctoral Dissertation Organization: MPŠ - Jožef Stefan International Postgraduate School Keywords: senzorji, senzorski podatki, mobilno spremljanje zdravja Place of publishing: Ljubljana Place of performance: Ljubljana Publisher: M. Gjoreski Year of publishing: 2020 Year of performance: 2020 Number of pages: XXII, 125 str. PID: 20.500.12556/ReVIS-14225  COBISS.SI-ID: 46834435  UDC: 004.85:61(043.3) Publication date in ReVIS: 13.07.2026 Views: 55 Downloads: 1 Metadata:    Cite this work Plain text BibTeX EndNote XML EndNote/Refer RIS ABNT ACM Ref AMA APA Chicago 17th Author-Date Harvard IEEE ISO 690 MLA Vancouver : Copy citation

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Language:	Slovenian
Title:	Spoj klasičnega in globokega strojnega učenja za mobilno spremljanje zdravja in obnašanja z nosljivimi senzorji : doktorska disertacija

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