Search results

  1. 1.
    0372954 - ÚI 2012 RIV CZ eng M - Monography Chapter
    Klaschka, Jan
    Tree-based EEG Classifiers for Somnolence Detection: Model Search Computational Experiments.
    Reliability of Driver Car Interactions. Praha: Ústav informatiky AV ČR, v. v. i. a ČVUT, Fakulta dopravní, 2011 - (Novák, M.), s. 80-96. Edice monografií NNW, 9. ISBN 978-80-87136-12-6
    R&D Projects: GA MŠMT ME 949
    Institutional research plan: CEZ:AV0Z10300504
    Keywords : EEG classification * somnolence * Random Forests * combining classifiers
    Subject RIV: BB - Applied Statistics, Operational Research
    Permanent Link: http://hdl.handle.net/11104/0206145
     
     
  2. 2.
    0319183 - ÚI 2009 JP eng A - Abstract
    Klaschka, Jan
    Classification of Heterogeneous EEG Data by Combining Random Forests.
    [Klasifikace heterogenních EEG dat kombinováním modelů získaných metodou Random Forests.]
    Program and Abstracts of IASC 2008. Tokyo: Japanese Society of Computational Statistics, 2008 - (Mizuta, M.; Nakano, J.). s. 160-160. ISBN 978-4-9904445-0-1.
    [IASC 2008. 05.12.2008-08.12.2008, Yokohama]
    R&D Projects: GA MDS 1F84B/042/520; GA MŠMT ME 949
    Institutional research plan: CEZ:AV0Z10300504
    Keywords : EEG classification * somnolence * random forests * combining classifiers
    Subject RIV: FH - Neurology
    Permanent Link: http://hdl.handle.net/11104/0168411
     
     
  3. 3.
    0318431 - ÚI 2009 RIV JP eng C - Conference Paper (international conference)
    Klaschka, Jan
    Classification of Heterogeneous EEG Data by Combining Random Forests.
    [Klasifikace heterogenních EEG dat kombinováním modelů získaných metodou Random Forests.]
    Proceedings of IASC 2008. Tokyo: Japanese Society of Computational Statistics, 2008 - (Mizuta, M.; Nakano, J.), s. 888-896. ISBN 978-4-9904445-1-8.
    [IASC 2008. Yokohama (JP), 05.12.2008-08.12.2008]
    R&D Projects: GA MDS 1F84B/042/520; GA MŠMT ME 949
    Institutional research plan: CEZ:AV0Z10300504
    Keywords : EEG classification * somnolence * random forests * combining classifiers
    Subject RIV: FH - Neurology
    Permanent Link: http://hdl.handle.net/11104/0167849
     
     
  4. 4.
    0088987 - ÚI 2008 RIV CZ eng M - Monography Chapter
    Klaschka, Jan
    Tree-based Classification Models for Somnolence Detection from EEG Spectra.
    [Klasifikační modely založené na stromech pro detekci ospalosti ze spekter EEG.]
    Neuroinformatic Databases and Mining of Knowledge of Them. Prague: Czech Technical University, 2007 - (Novák, M.), s. 212-233. Edice monografií NNW, 7. ISBN 978-80-87136-01-0
    R&D Projects: GA MŠMT ME 701
    Institutional research plan: CEZ:AV0Z10300504
    Keywords : classification trees * classification forests * random forests * OOB estimates * EEG classification * somnolence * microsleeps
    Subject RIV: BB - Applied Statistics, Operational Research
    Permanent Link: http://hdl.handle.net/11104/0150349
     
     


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