Search results
- 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 - 2.0575361 - 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 - 3.0574160 - 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 - 4.0573436 - ÚTIA 2024 PT eng C - Conference Paper (international conference)
Likhonina, Raissa - Kadlec, Jiří - Uglickich, Evženie
Hand detection ultrasound based application implemented on the FPGA platform.
Book of abstracts. 6th International Caparica Conference on Ultrasonic-based applications from analysis to synthesis. Portugal: PROTEOMASS Scientific Society, 2023, s. 107-107. ISBN 978-989-53350-8-4.
[Ultrasonics 2023. Caparica (PT), 26.06.2023-29.06.2023]
Grant - others:ECSEL(XE) 101007321
Institutional support: RVO:67985556
Keywords : hand detection * FPGA platform * noise cancellation * RLS algorithms
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Permanent Link: https://hdl.handle.net/11104/0344731 - 5.0544577 - ÚTIA 2022 RIV PT eng C - Conference Paper (international conference)
Jozová, Šárka - Uglickich, Evženie - Nagy, Ivan
Bayesian Mixture Estimation without Tears.
Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics. Setúbal: Scitepress, 2021 - (Gusikhin, O.; Nijmeijer, H.; Madani, K.), s. 641-648. ISBN 978-989-758-522-7. ISSN 2184-2809.
[International Conference on Informatics in Control, Automation and Robotics 2021 /18./. Setúbal (online) (PT), 06.07.2021-08.07.2021]
R&D Projects: GA MŠMT(CZ) 8A19009
Institutional support: RVO:67985556
Keywords : Data Analysis * Clustering * Classification * Mixture Model * Estimation * Prior Knowledge
OECD category: Statistics and probability
http://library.utia.cas.cz/separaty/2021/ZS/uglickich-0544577.pdf
Permanent Link: http://hdl.handle.net/11104/0321817 - 6.0544576 - ÚTIA 2022 RIV PT eng C - Conference Paper (international conference)
Uglickich, Evženie - Nagy, Ivan - Petrouš, Matej
Prediction of Multimodal Poisson Variable using Discretization of Gaussian Data.
Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics. Setúbal: Scitepress, 2021 - (Gusikhin, O.; Nijmeijer, H.; Madani, K.), s. 600-608. ISBN 978-989-758-522-7. ISSN 2184-2809.
[International Conference on Informatics in Control, Automation and Robotics 2021 /18./. Setúbal (online) (PT), 06.07.2021-08.07.2021]
R&D Projects: GA MŠMT(CZ) 8A19009
Institutional support: RVO:67985556
Keywords : Poisson Distribution Prediction * Discrete Data * Discretization * Mixture based Clustering * Bayesian Recursive Mixture Estimation
OECD category: Statistics and probability
http://library.utia.cas.cz/separaty/2021/ZS/uglickich-0544576.pdf
Permanent Link: http://hdl.handle.net/11104/0321816 - 7.0531345 - ÚTIA 2021 RIV US eng C - Conference Paper (international conference)
Petrouš, Matej - Uglickich, Evženie
Rayleigh model fitting to nonnegative discrete data.
Proceedings of 2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES). Piscataway: IEEE, 2020, s. 67-72. ISBN 978-1-7281-1059-2. ISSN 1543-9259.
[IEEE International Conference on Intelligent Engineering Systems 2020 (INES 2020) /24./. Reykjavík (IS), 08.07.2020-10.07.2020]
R&D Projects: GA MŠMT(CZ) 8A17006
Institutional support: RVO:67985556
Keywords : Poisson distribution * multimodal data * Rayleigh distribution * recursive estimation * passenger demand
OECD category: Statistics and probability
http://library.utia.cas.cz/separaty/2020/ZS/uglickich-0531345.pdf
Permanent Link: http://hdl.handle.net/11104/0310088 - 8.0524975 - ÚTIA 2021 RIV US eng C - Conference Paper (international conference)
Petrouš, Matej - Uglickich, Evženie
Modeling of mixed data for Poisson prediction.
Applied Computational Intelligence and Informatics (SACI) : 2020 IEEE 14th International Symposium on Applied Computational Intelligence and Informatics (SACI). Piscataway: IEEE, 2020, s. 77-82. ISBN 978-1-7281-7378-8.
[IEEE 14th International Symposium on Applied Computational Intelligence and Informatics SACI 2020. Timisoara (RO), 21.05.2020-23.05.2020]
R&D Projects: GA MŠMT(CZ) 8A17006
Institutional support: RVO:67985556
Keywords : mixed data * Poisson distribution * mixture based clustering * passenger demand
OECD category: Statistics and probability
http://library.utia.cas.cz/separaty/2020/AS/uglickich-0524975.pdf
Permanent Link: http://hdl.handle.net/11104/0309417