Search results

  1. 1.
    0518921 - ÚI 2020 CZ eng A - Abstract
    Coufal, David
    Generative Adversial Networks. A 2019 Review.
    Proceedings of the 22nd Czech-Japan Seminar on Data Analysis and Decision Making (CJS’19). Praha: MatfyzPress, 2019 - (Inuiguchi, M.; Jiroušek, R.; Kratochvíl, V.). s. 25-27. ISBN 978-80-7378-400-3.
    [CJS 2019. Czech-Japan Seminar on Data Analysis and Decision Making /22./. 25.09.2019-28.09.2019, Nový Světnov]
    R&D Projects: GA ČR(CZ) GA18-23827S
    Institutional support: RVO:67985807
    http://cjs.utia.cas.cz/proceedings.pdf
    Permanent Link: http://hdl.handle.net/11104/0303927
    FileDownloadSizeCommentaryVersionAccess
    0518921-aw.pdf1241.8 KBvolně onlinePublisher’s postprintopen-access
     
     
  2. 2.
    0466900 - ÚI 2017 CZ cze A - Abstract
    Coufal, David
    Vzorkovací schémata v částicovém filtru.
    ROBUST 2016 Sborník abstraktů. Praha: KPMS MFF UK, 2016. s. 2-2.
    [ROBUST 2016. 11.09.2016-16.09.2016, Jeseníky]
    Institutional support: RVO:67985807
    Subject RIV: BB - Applied Statistics, Operational Research
    Permanent Link: http://hdl.handle.net/11104/0265802
    FileDownloadSizeCommentaryVersionAccess
    a0466900.pdf0621.3 KBPublisher’s postprintopen-access
     
     
  3. 3.
    0442648 - ÚI 2015 CZ eng A - Abstract
    Coufal, David
    Kernel Estimates of Derivatives in Particle Filter.
    STOCHASTIKA 2015. Prague: CTU FEL, 2015. s. 8-8.
    [STOCHASTIKA 2015. 08.02.2015-13.02.2015, Kohútka]
    R&D Projects: GA MŠMT(CZ) LD13002
    Institutional support: RVO:67985807
    Keywords : particle filter * kernel methods * Fourier transform
    Permanent Link: http://hdl.handle.net/11104/0245457
    FileDownloadSizeCommentaryVersionAccess
    0442648.pdf8640.4 KBPublisher’s postprintopen-access
     
     
  4. 4.
    0436449 - ÚI 2015 CZ cze A - Abstract
    Coufal, David
    Jádrové odhady hustot v částicovém filtru.
    ROBUST 2014 Program a sborník abstraktů. Praha: KPMS MFF UK, 2014. s. 4-4.
    [ROBUST 2014. 19.01.2014-24.01.2014, Jetřichovice]
    Institutional support: RVO:67985807
    Keywords : částicový filtr * jádrové metody * Fourierova transformace
    Subject RIV: BB - Applied Statistics, Operational Research
    Permanent Link: http://hdl.handle.net/11104/0240201
    FileDownloadSizeCommentaryVersionAccess
    0436449.pdf450.4 KBPublisher’s postprintopen-access
     
     
  5. 5.
    0383412 - ÚI 2013 CZ cze A - Abstract
    Coufal, David
    Sekvenční metody Monte Carlo a neparametrické odhady.
    Statistické metody pro technologii a výzkum. Pardubice: TriloByte Statistical Software, 2012 - (Kupka, K.). s. 119. ISBN 978-80-904053-6-3.
    [Analýza dat 2012/II - Statistické metody pro technologii, kvalitu a výzkum. 14.11.2012-16.11.2012, Pardubice]
    Institutional support: RVO:67985807
    Keywords : parametrické odhady * metody Monte Carlo
    Subject RIV: BB - Applied Statistics, Operational Research
    Permanent Link: http://hdl.handle.net/11104/0007374
    FileDownloadSizeCommentaryVersionAccess
    a0383412.pdf1970.3 KBPublisher’s postprintrequire
     
     
  6. 6.
    0368089 - ÚI 2012 SE eng A - Abstract
    Coufal, David - Klaschka, Jan - Štefka, David
    Analysis of EEG Signals for Classification of Car Driver's Vigilance Level.
    Neuroinformatics 2011. Stockholm: INCF, 2011. s. 295-296.
    [Neuroinformatics 2011. 04.09.2011-06.09.2011, Boston]
    Institutional research plan: CEZ:AV0Z10300504
    Keywords : EEG signal analysis * microsleep
    Subject RIV: BB - Applied Statistics, Operational Research
    Permanent Link: http://hdl.handle.net/11104/0006704
     
     
  7. 7.
    0341930 - ÚI 2011 RIV HU eng A - Abstract
    Coufal, David
    Classification of Vigilance Levels Related to EEG Spectrograms.
    Computational Intelligence and Informatics. Budapest: Budapest Tech, Hungarian Fuzzy Association, 2009 - (Szakál, A.). s. 95. ISBN 978-963-7154-96-6.
    [International Symposium of Hungarian Researchers on Computational Intelligence and Informatics. 12.12.2009-14.12.2009, Budapest]
    R&D Projects: GA MDS 1F84B/042/520; GA MŠMT MEB040901
    Institutional research plan: CEZ:AV0Z10300504
    Keywords : microsleeps * fuzzy classifier * EEG spectrograms
    Subject RIV: IN - Informatics, Computer Science
    Permanent Link: http://hdl.handle.net/11104/0184772
     
     
  8. 8.
    0326475 - ÚI 2010 IT eng A - Abstract
    Coufal, David - Štefka, David - Klaschka, Jan - Holeňa, Martin - Šebesta, Václav
    Classification Models for Somnolence Detection in EEG Spectra.
    EURISBIS 09 Book of Abstracts. Cagliari, Sardinie: TILAPIA Communications, 2009 - (Mola, F.; Conversano, C.; Vinzi, V.; Fisher, N.). s. 80-81. ISBN 978-88-89744-13-0.
    [EURISBIS 09. European Regional Meeting of the International Society for Business and Industrial Statistics. 30.05.2009-03.06.2009, Cagliari]
    R&D Projects: GA MDS 1F84B/042/520
    Institutional research plan: CEZ:AV0Z10300504
    Keywords : EEG classification * combining classifiers * data mining
    Subject RIV: BB - Applied Statistics, Operational Research
    Permanent Link: http://hdl.handle.net/11104/0173571
     
     


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