Search results
- 1.0586040 - ÚI 2025 RIV CZ eng J - Journal Article
Kalina, Jan - Vidnerová, Petra - Janáček, Patrik
Highly Robust Training of Regularized Radial Basis Function Networks.
Kybernetika. Roč. 60, č. 1 (2024), s. 38-59. ISSN 0023-5954
R&D Projects: GA ČR(CZ) GA22-02067S
Institutional support: RVO:67985807
Keywords : effective regularization * quantile regression * regression neural networks * robust training * robustness
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 0.5, year: 2022
Method of publishing: Open access
https://doi.org/85190739311
Permanent Link: https://hdl.handle.net/11104/0353642File Download Size Commentary Version Access 0586040-oaf.pdf 1 1.2 MB Freely available: https://www.kybernetika.cz/content/2024/1/38/paper.pdf Publisher’s postprint require - 2.0583644 - ÚTIA 2024 RIV CZ eng C - Conference Paper (international conference)
Kalina, Jan
Statistical Method Selection Matters: Vanilla Methods in Regression May Yield Misleading Results.
Proceedings of the 17th International Scientific Conference INPROFORUM: Challenges and Opportunities in the Digital World. České Budějovice: University of South Bohemia in České Budějovice, Faculty of Economics, 2023 - (Rolínek, L.), s. 5-10. ISBN 978-80-7694-053-6. E-ISSN 2336-6788.
[INPROFORUM 2023: Challenges and Opportunities in the Digital World. International Scientific Conference /17./. České Budějovice (CZ), 02.11.2023-03.11.2023]
R&D Projects: GA ČR GA21-05325S
Institutional support: RVO:67985556
Keywords : linear regression * assumptions * non-standard situations * robustness * diagnostics
OECD category: Statistics and probability
http://library.utia.cas.cz/separaty/2024/SI/kalina-0583644.pdf
Permanent Link: https://hdl.handle.net/11104/0351666 - 3.0583632 - ÚI 2024 RIV CZ eng C - Conference Paper (international conference)
Kalina, Jan
Statistical Method Selection Matters: Vanilla Methods in Regression May Yield Misleading Results.
Proceedings of the 17th International Scientific Conference INPROFORUM: Challenges and Opportunities in the Digital World. České Budějovice: University of South Bohemia in České Budějovice, Faculty of Economics, 2023 - (Rolínek, L.), s. 5-10. ISBN 978-80-7694-053-6. E-ISSN 2336-6788.
[INPROFORUM 2023: Challenges and Opportunities in the Digital World. International Scientific Conference /17./. České Budějovice (CZ), 02.11.2023-03.11.2023]
R&D Projects: GA ČR GA21-05325S
Institutional support: RVO:67985807
Keywords : linear regression * assumptions * non-standard situations * robustness * diagnostics
OECD category: Statistics and probability
https://inproforum.ef.jcu.cz/incfiles/inf-990000-0900_007.pdf https://doi.org/10.32725/978-80-7694-053-6.63
Permanent Link: https://hdl.handle.net/11104/0351663 - 4.0583584 - ÚTIA 2024 RIV PL eng J - Journal Article
Kalina, Jan - Tichavský, J.
On Robust Estimation of Error Variance in (Highly) Robust Regression.
Measurement Science Review. Roč. 20, č. 1 (2020), s. 6-14. ISSN 1335-8871. E-ISSN 1335-8871
R&D Projects: GA ČR(CZ) GA19-05704S; GA ČR GA17-07384S
Institutional support: RVO:67985556
Keywords : high robustness * simulation * least weighted squares * variance of errors * outliers * robust regression
OECD category: Statistics and probability
Impact factor: 1.319, year: 2020
Method of publishing: Open access
https://sciendo.com/article/10.2478/msr-2020-0002 http://library.utia.cas.cz/separaty/2020/SI/kalina-0583584.pdf
Permanent Link: https://hdl.handle.net/11104/0351590 - 5.0583575 - ÚTIA 2024 RIV CZ eng C - Conference Paper (international conference)
Kalina, Jan
Some Robust Approaches to Reducing the Complexity of Economic Data.
The 17th International Days of Statistics and Economics Conference Proceedings. Praha: Melandrium, 2023 - (Löster, T.; Pavelka, T.), s. 246-255. ISBN 978-80-87990-31-5.
[International Days of Statistics and Economics /17./. Praha (CZ), 07.09.2023-09.09.2023]
R&D Projects: GA ČR GA21-05325S
Institutional support: RVO:67985556
Keywords : dimensionality reduction * Big Data * variable selection * robustness * sparsity
OECD category: Statistics and probability
http://library.utia.cas.cz/separaty/2023/SI/kalina-0583575.pdf
Permanent Link: https://hdl.handle.net/11104/0351582 - 6.0583574 - ÚTIA 2024 RIV CH eng C - Conference Paper (international conference)
Kalina, Jan - Peštová, B.
On the Bayesian Interpretation of Penalized Statistical Estimators.
Artificial Intelligence and Soft Computing. 22nd International Conference, ICAISC 2023, Proceedings, Part 2. Cham: Springer, 2023 - (Rutkowski, L.; Scherer, R.; Korytkowski, M.; Pedrycz, W.; Tadeusiewicz, R.; Zurada, J.), s. 343-352. Lecture Notes in Computer Science, 14126. ISBN 978-3-031-42507-3.
[ICAISC 2023: International Conference on Artificial Intelligence and Soft Computing /22./. Zakopane (PL), 18.07.2023-22.07.2023]
R&D Projects: GA ČR GA21-05325S
Institutional support: RVO:67985556
Keywords : Bayesian estimation * regularization * penalization * robustness * regression
OECD category: Statistics and probability
http://library.utia.cas.cz/separaty/2023/SI/kalina-0583574.pdf
Permanent Link: https://hdl.handle.net/11104/0351579 - 7.0581699 - ÚI 2024 RIV CZ eng C - Conference Paper (international conference)
Kalina, Jan
Some Robust Approaches to Reducing the Complexity of Economic Data.
The 17th International Days of Statistics and Economics Conference Proceedings. Praha: Melandrium, 2023 - (Löster, T.; Pavelka, T.), s. 246-255. ISBN 978-80-87990-31-5.
[International Days of Statistics and Economics /17./. Praha (CZ), 07.09.2023-09.09.2023]
R&D Projects: GA ČR GA21-05325S
Institutional support: RVO:67985807
Keywords : dimensionality reduction * Big Data * variable selection * robustness * sparsity
OECD category: Statistics and probability
https://msed.vse.cz/msed_2023/article/687-Kalina-Jan-paper.pdf
Permanent Link: https://hdl.handle.net/11104/0349888File Download Size Commentary Version Access 0581699-awfin.pdf 2 588.2 KB volně online Publisher’s postprint open-access - 8.0580817 - ÚI 2024 RIV CH eng C - Conference Paper (international conference)
Kalina, Jan - Janáček, Patrik
Robustness Aspects of Optimized Centroids.
Classification and Data Science in the Digital Age. Cham: Springer, 2023 - (Brito, P.; Dias, J.; Lausen, B.; Montanari, A.; Nugent, R.), s. 193-201. Studies in Classification, Data Analysis, and Knowledge Organization. ISBN 978-3-031-09033-2.
[IFCS 2022: The Conference of the International Federation of Classification Societies /17./. Porto (PT), 19.07.2022-23.07.2022]
R&D Projects: GA ČR(CZ) GA22-02067S
Institutional support: RVO:67985807
Keywords : Image processing * Optimized centroids * Robustness * Sparsity * Low-energy replacements
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://doi.org/10.1007/978-3-031-09034-9_22
Permanent Link: https://hdl.handle.net/11104/0349582File Download Size Commentary Version Access 0580817-afinoa.pdf 1 283 KB OA CC BY 4.0 Publisher’s postprint open-access - 9.0579680 - ÚI 2024 RIV CH eng C - Conference Paper (international conference)
Kalina, Jan - Peštová, Barbora
On the Bayesian Interpretation of Penalized Statistical Estimators.
Artificial Intelligence and Soft Computing. 22nd International Conference, ICAISC 2023, Proceedings, Part 2. Cham: Springer, 2023 - (Rutkowski, L.; Scherer, R.; Korytkowski, M.; Pedrycz, W.; Tadeusiewicz, R.; Zurada, J.), s. 343-352. Lecture Notes in Computer Science, 14126. ISBN 978-3-031-42507-3.
[ICAISC 2023: International Conference on Artificial Intelligence and Soft Computing /22./. Zakopane (PL), 18.07.2023-22.07.2023]
R&D Projects: GA ČR GA21-05325S
Institutional support: RVO:67985807
Keywords : Bayesian estimation * regularization * penalization * robustness * regression
OECD category: Statistics and probability
https://doi.org/10.1007/978-3-031-42508-0_31
Permanent Link: https://hdl.handle.net/11104/0348492 - 10.0578508 - ÚTIA 2024 RIV GB eng C - Conference Paper (international conference)
Karella, Tomáš - Šroubek, Filip - Blažek, Jan - Flusser, Jan - Košík, Václav
H-NeXt: The next step towards roto-translation invariant networks.
34th British Machine Vision Conference 2023. Aberdeen: BMVA, 2023, s. 1-14.
[British Machine Vision Conference 2023 /34./. Aberdeen (GB), 20.11.2023-24.11.2023]
R&D Projects: GA ČR GA21-03921S
Institutional support: RVO:67985556
Keywords : H-NeXT * robustness to unseen deformations * parameter-efficient roto-translation invariant network * classification on unaugmented training set
OECD category: Computer hardware and architecture
http://library.utia.cas.cz/separaty/2023/ZOI/karella-0578508.pdf
Permanent Link: https://hdl.handle.net/11104/0347650