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  1. 1.
    0474072 - ÚI 2018 RIV CH eng C - Conference Paper (international conference)
    Kalina, Jan - Hlinka, Jaroslav
    On Coupling Robust Estimation with Regularization for High-Dimensional Data.
    Data Science. Innovative Developments in Data Analysis and Clustering. Cham: Springer, 2017 - (Palumbo, F.; Montanari, A.; Vichi, M.), s. 15-27. Studies in Classification, Data Analysis, and Knowledge Organization. ISBN 978-3-319-55722-9. ISSN 1431-8814.
    [IFCS 2015. Bologna (IT), 05.07.2015-08.07.2015]
    R&D Projects: GA ČR GA13-23940S
    Grant - others:GA MŠk(CZ) ED2.1.00/03.0078; Nadační fond na podporu vědy(CZ) Neuron
    Institutional support: RVO:67985807
    Keywords : classification * outliers * robustness * sparsity * brain activity
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    Permanent Link: http://hdl.handle.net/11104/0271250
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  2. 2.
    0473143 - ÚI 2018 RIV CH eng C - Conference Paper (international conference)
    Kalina, Jan - Hlinka, Jaroslav
    Implicitly Weighted Robust Classification Applied to Brain Activity Research.
    Biomedical Engineering Systems and Technologies. Cham: Springer, 2017 - (Fred, A.; Gamboa, H.), s. 87-107. Communications in Computer and Information Science, 690. ISBN 978-3-319-54716-9. ISSN 1865-0929.
    [BIOSTEC 2016 International Joint Conference /9./. Rome (IT), 21.02.2016-23.02.2016]
    R&D Projects: GA ČR GA13-23940S
    Grant - others:GA MŠk(CZ) LO1611; Nadační fond na podporu vědy(CZ) Neuron
    Institutional support: RVO:67985807
    Keywords : high-dimensional data * classification analysis * robustness * outliers * regularization
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    Permanent Link: http://hdl.handle.net/11104/0270309
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    a0473143.pdf2315.9 KBPublisher’s postprintrequire
     
     
  3. 3.
    0457036 - ÚI 2016 RIV PT eng C - Conference Paper (international conference)
    Kalina, Jan - Hlinka, Jaroslav
    Highly Robust Classification: A Regularized Approach for Omics Data.
    BIOSTEC 2016 - BIOINFORMATICS. Vol. 3. Lisbon: Scitepress, 2016, s. 17-26. ISBN 978-989-758-170-0.
    [BIOINFORMATICS 2016. International Conference on Bioinformatics Models, Methods and Algorithms /7./. Rome (IT), 21.02.2016-23.02.2016]
    R&D Projects: GA ČR GA13-23940S
    Grant - others:GA MŠk(CZ) ED2.1.00/03.0078
    Institutional support: RVO:67985807
    Keywords : high-dimensional data * classification analysis * robustness * outliers * regularization
    Subject RIV: IN - Informatics, Computer Science
    Permanent Link: http://hdl.handle.net/11104/0257480
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    a0457036.pdf12.7 MBPublisher’s postprintrequire
     
     


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