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  1. 1.
    0533392 - ÚČL 2021 RIV CZ cze M - Monography Chapter
    Piorecký, Karel
    Mix kreativity, nahodilosti a tiché práce algoritmů.
    [A mix of creativity, randomness and silent work of algorithms.]
    Google poezie. Psáno našeptávačem. Brno: Backstage Books, 2020 - (Miklica, T.; Poláček, D.; Coufal, T.; Toman, M.), s. 7-17. ISBN 978-80-88049-96-8
    R&D Projects: GA MŠMT(CZ) EF16_013/0001743
    Institutional support: RVO:68378068
    Keywords : poetry * google * internet * generative literature
    OECD category: Specific literatures
    Permanent Link: http://hdl.handle.net/11104/0311775
     
     
  2. 2.
    0577144 - ÚI 2024 RIV CH eng J - Journal Article
    Štěpánek, Lubomír - Dlouhá, Jana - Martinková, Patrícia
    Item Difficulty Prediction Using Item Text Features: Comparison of Predictive Performance across Machine-Learning Algorithms.
    Mathematics. Roč. 11, č. 19 (2023), č. článku 4104. ISSN 2227-7390
    R&D Projects: GA ČR(CZ) GA21-03658S
    Institutional support: RVO:67985807
    Keywords : text-based item difficulty prediction * text features and item wording * machine learning * regularization methods * elastic net regression * support vector machines * regression and decision trees * random forests * neural networks * algorithm vs. domain expert’s prediction performance
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    Impact factor: 2.4, year: 2022
    Method of publishing: Open access
    https://dx.doi.org/10.3390/math11194104
    Permanent Link: https://hdl.handle.net/11104/0346365
    FileDownloadSizeCommentaryVersionAccess
    0577144-aoa.pdf1715.6 KBOA CC BY 4.0Publisher’s postprintopen-access
     
     

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