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  1. 1.
    0579589 - ÚI 2024 RIV CH eng C - Conference Paper (international conference)
    Neruda, Roman - Figueroa-Garcia, J.C.
    Feature Selection for Performance Estimation of Machine Learning Workflows.
    International Conference on Information Technology and Systems: ICITS 2023, Volume 1. Cham: Springer, 2023 - (Rocha, A.; Ferrás, C.; Ibarra, W.), s. 351-359. Lecture Notes in Networks and Systems, 691. ISBN 978-3-031-33257-9. ISSN 2367-3370.
    [ICITS 2023: International Conference on Information Technology and Systems /6./. Cusco (PE), 24.04.2023-26.04.2023]
    Institutional support: RVO:67985807
    Keywords : Auto-ML * Machine learning * Performance estimation
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    https://doi.org/10.1007/978-3-031-33258-6_33
    Permanent Link: https://hdl.handle.net/11104/0348401
     
     
  2. 2.
    0099286 - ÚTIA 2010 RIV PT eng C - Conference Paper (international conference)
    Somol, Petr - Novovičová, Jana - Pudil, Pavel
    Are Better Feature Selection Methods Actually Better? Discussion, Reasoning and Examples.
    [Jsou lepší metody výběru příznaků skutečně lepší? Diskuse, Úvahy, Příklady.]
    Proceedings of the International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSTEC 2008. Madeira: INSTICC Press, 2008, s. 246-253. ISBN 978-989-8111-16-6.
    [International Conference on Health Informatics. Funchal Madeira (PT), 28.01.2008-31.01.2008]
    R&D Projects: GA ČR GA102/07/1594; GA MŠMT 1M0572; GA AV ČR IAA2075302
    EU Projects: European Commission(XE) 507752 - MUSCLE
    Grant - others:GA MŠk(CZ) 2C06019
    Institutional research plan: CEZ:AV0Z10750506
    Keywords : feature selection * subset search * performance estimation * classification accuracy
    Subject RIV: IN - Informatics, Computer Science
    http://library.utia.cas.cz/separaty/2008/RO/somol-are better feature selection methods actually better discussion, reasoning and examples.pdf
    Permanent Link: http://hdl.handle.net/11104/0157947
     
     
  3. 3.
    0085720 - ÚTIA 2008 CZ eng V - Research Report
    Somol, Petr - Novovičová, Jana
    Does It Make Sense to Develop New Feature Selection Methods?.
    [Má smysl vyvíjet nové metody výběru příznaků?]
    Praha: ÚTIA AV ČR, 2007. 11 s. Research Report, 2193.
    R&D Projects: GA MŠMT(CZ) 2C06019; GA MŠMT 1M0572; GA AV ČR IAA2075302
    EU Projects: European Commission(XE) 507752 - MUSCLE
    Institutional research plan: CEZ:AV0Z10750506
    Keywords : feature selection * subset search * search methods * performance estimation * classification accuracy
    Subject RIV: BB - Applied Statistics, Operational Research
    Permanent Link: http://hdl.handle.net/11104/0148168
     
     


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