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master's thesis
Metode umjetnog proširenja skupova podataka vremenskih serija
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:639978
Jakšić, Mihael
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Jakšić, M. (2021). Metode umjetnog proširenja skupova podataka vremenskih serija (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:639978

Jakšić, Mihael. "Metode umjetnog proširenja skupova podataka vremenskih serija." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:639978

Jakšić, Mihael. "Metode umjetnog proširenja skupova podataka vremenskih serija." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:639978

Jakšić, M. (2021). 'Metode umjetnog proširenja skupova podataka vremenskih serija', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 14 January 2025, https://urn.nsk.hr/urn:nbn:hr:168:639978

Jakšić M. Metode umjetnog proširenja skupova podataka vremenskih serija [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2025 January 14] Available at: https://urn.nsk.hr/urn:nbn:hr:168:639978

M. Jakšić, "Metode umjetnog proširenja skupova podataka vremenskih serija", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:639978

Metadata
TitleMetode umjetnog proširenja skupova podataka vremenskih serija
Title (english)Methods for Augmentation of Time Series Datasets
AuthorMihael Jakšić
MentorMario Cifrek (mentor)
Committee memberMario Cifrek (predsjednik povjerenstva)
Committee memberHrvoje Džapo (član povjerenstva)
Committee memberŽeljka Lučev Vasić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-07-08, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Rad pojašnjava potrebu za umjetnim proširivanjem podataka, daje kratki pregled metoda koje se koriste prilikom proširivanja skupova slikovnih i tekstualnih podataka i daje pojašnjenje specifičnosti vremenskih serija u tom kontekstu. Rad daje pregled odabranih metoda za umjetno proširivanje skupova podataka vremenskih serija, pojašnjenje skupova podataka na kojem će podaci biti testirani i rezultate primjene odabranih metoda na odabranim skupovima. Na kraju, rad raspravlja o tome postoji li najbolji algoritam za tu namjenu.
Abstract (english)
This thesis explains the need for the augmentation of time series, gives a brief overview of methods for augmentation of image and textual data and explains specificities of time series in that context. The thesis gives an overview of chosen methods for time series data augmentation, explains datasets the methods are tested on, and gives the results of application of chosen methods to the chosen datasets. At the end, the thesis argues the existence of the best method for that purpose.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:639978
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
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Created on2023-01-13 12:30:12