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  1. 1.
    0512092 - ÚI 2020 RIV DE eng C - Conference Paper (international conference)
    Tumpach, J. - Krčál, M. - Holeňa, Martin
    Deep networks in online malware detection.
    ITAT 2019: Information Technologies – Applications and Theory. Aachen: Technical University & CreateSpace Independent Publishing, 2019 - (Barančíková, P.; Holeňa, M.; Horváth, T.; Pleva, M.; Rosa, R.), s. 90-98. CEUR Workshop Proceeding, 2473. ISSN 1613-0073.
    [ITAT 2019: Conference Information Technologies - Applications and Theory /19./. Donovaly (SK), 20.09.2019-24.09.2019]
    R&D Projects: GA ČR(CZ) GA18-18080S
    Grant - others:GA MŠk(CZ) LM2015042
    Institutional support: RVO:67985807
    Keywords : artificial neural networks * multilayer perceptrons * deep networks * semi-supervised learning * malware detection
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    http://ceur-ws.org/Vol-2473/paper7.pdf
    Permanent Link: http://hdl.handle.net/11104/0302298
    FileDownloadSizeCommentaryVersionAccess
    0512092-aoa.pdf3581.3 KBOpenAccessPublisher’s postprintopen-access
     
     
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