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Rules extraction from neural networks trained on multimedia data

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    0512089 - ÚI 2020 RIV DE eng C - Conference Paper (international conference)
    Fanta, M. - Pulc, P. - Holeňa, Martin
    Rules extraction from neural networks trained on multimedia data.
    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. 26-35. 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
    Institutional support: RVO:67985807
    Keywords : artificial neural networks * multilayer perceptrons * deep networks * rules extraction * multimedia data
    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/paper4.pdf

    Permanent Link: http://hdl.handle.net/11104/0302294
    FileDownloadSizeCommentaryVersionAccess
    0512089-aoa.pdf4439.9 KBOpenAccessPublisher’s postprintopen-access
     
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