Search results

  1. 1.
    0587093 - ÚTIA 2025 RIV US eng C - Conference Paper (international conference)
    Reznychenko, T. - Uglickich, Evženie - Nagy, Ivan
    Accuracy Comparison of Logistic Regression, Random Forest, and Neural Networks Applied to Real MaaS Data.
    2024 Smart City Symposium Prague (SCSP). Danvers: IEEE, 2024. ISBN 979-8-3503-6096-7. ISSN 2831-5618. E-ISSN 2691-3666.
    [Smart City Symposium Prague 2024 (SCSP 2024). Prague (CZ), 23.05.2024-24.05.2024]
    R&D Projects: GA MŠMT 8A21009
    Institutional support: RVO:67985556
    Keywords : classification algorithms * data analysis * machine learning * Mobility as a Service * random forests
    OECD category: Statistics and probability
    http://library.utia.cas.cz/separaty/2024/ZS/uglickich-0587093.pdf https://ieeexplore.ieee.org/document/10552715
    Permanent Link: https://hdl.handle.net/11104/0354390
     
     
  2. 2.
    0575361 - ÚTIA 2024 RIV US eng C - Conference Paper (international conference)
    Uglickich, Evženie - Nagy, Ivan - Reznychenko, T.
    Count Predictive Model with Mixed Categorical and Count Explanatory Variables.
    Proceedings of the The 12th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) IDAACS'2023. Piscataway: IEEE, 2023, s. 51-56. ISBN 979-8-3503-5804-9. E-ISSN 2770-4254.
    [The 12th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) IDAACS'2023. Dortmund (DE), 07.09.2023-09.09.2023]
    R&D Projects: GA MŠMT 8A21009
    Institutional support: RVO:67985556
    Keywords : count data * Poisson mixtures * Poisson regression * recursive Bayesian mixture estimation
    OECD category: Statistics and probability
    http://library.utia.cas.cz/separaty/2023/ZS/uglickich-0575361.pdf
    Permanent Link: https://hdl.handle.net/11104/0345384
     
     
  3. 3.
    0574160 - ÚTIA 2024 RIV US eng C - Conference Paper (international conference)
    Reznychenko, T. - Uglickich, Evženie - Nagy, Ivan
    Conditional histogram analysis of discrete questionnaire data.
    2023 Smart City Symposium Prague (SCSP). Red Hook: Curran Associates, 2023, s. 1-6. ISBN 979-8-3503-2162-3. ISSN 2831-5618. E-ISSN 2691-3666.
    [Smart City Symposium Prague 2023 (SCSP 2023). Prague (CZ), 25.05.2023-26.05.2023]
    R&D Projects: GA MŠMT 8A21009
    Grant - others:GA TA ČR(CZ) FW06010535
    Institutional support: RVO:67985556
    Keywords : conditional histograms * discrete data * Marascuilo procedure * questionnaire analysis
    OECD category: Statistics and probability
    http://library.utia.cas.cz/separaty/2023/ZS/uglickich-0574160.pdf
    Permanent Link: https://hdl.handle.net/11104/0344512
     
     


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