Search results
- 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 - 2.0346951 - ÚI 2011 SI eng A - Abstract
Klaschka, Jan
EEG Classification Models in Driver's Microsleep Prevention.
ISBIS 2010. Praha: Agentura Action M, 2010. s. 52-52.
[ISBIS 2010. International Symposium on Business and Industrial Statistics. 05.07.2010-09.07.2010, Portorož]
Institutional research plan: CEZ:AV0Z10300504
Keywords : EEG * microsleep * combining classifiers
Subject RIV: FH - Neurology
Permanent Link: http://hdl.handle.net/11104/0187845 - 3.0326475 - 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 - 4.0319183 - 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 - 5.0318431 - 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 - 6.0083507 - ÚI 2008 RIV DE eng C - Conference Paper (international conference)
Štefka, David - Holeňa, Martin
The Use of Fuzzy t-conorm Integral for Combining Classifiers.
[Využití t-konormového fuzzy integrálu pro spojování klasifikátorů.]
Symbolic and Quantitative Approaches to Reasoning with Uncertainty. Berlin: Springer, 2007 - (Mellouli, K.), s. 755-766. Lecture Notes in Artificial Intelligence, 4724. ISBN 978-3-540-75255-4.
[ECSQARU 2007. European Conference /9./. Hammamet (TN), 01.11.2007-02.11. 2007]
R&D Projects: GA AV ČR 1ET100300517; GA ČR GA201/05/0325
Institutional research plan: CEZ:AV0Z10300504
Keywords : combining classifiers * classifier aggregation * fuzzy integral * t-conorm integral * fuzzy measure
Subject RIV: IN - Informatics, Computer Science
Permanent Link: http://hdl.handle.net/11104/0146725