Search results
- 1.0583575 - 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 - 2.0581699 - 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 - 3.0565535 - ÚI 2024 RIV US eng M - Monography Chapter
Kalina, Jan
Robust Dimensionality Reduction: A Resistant Search for the Relevant Information in Complex Data.
Convergence of Big Data Technologies and Computational Intelligent Techniques. Hershey: IGI Global, 2023 - (Gupta, G.), s. 186-210. ISBN 9781668452646
R&D Projects: GA ČR(CZ) GA22-02067S
Institutional support: RVO:67985807
Keywords : Computational Intelligence * Complexity Reduction * Machine Learning * Variable Selection * Outlying Measurements * Robustness * Sparsity * Comprehensibility
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://dx.doi.org/10.4018/978-1-6684-5092-5.ch004
Permanent Link: https://hdl.handle.net/11104/0337062 - 4.0562370 - ÚI 2023 RIV US eng C - Conference Paper (international conference)
Kalina, Jan - Vidnerová, Petra - Janáček, Patrik
Sparse Versions of Optimized Centroids.
2022 International Joint Conference on Neural Networks (IJCNN) Proceedings. Piscataway: IEEE, 2022, s. 1-7. ISBN 978-1-7281-8671-9.
[IJCNN 2022: International Joint Conference on Neural Networks /35./. Padua (IT), 18.07.2022-23.07.2022]
R&D Projects: GA ČR(CZ) GA22-02067S
Institutional support: RVO:67985807
Keywords : image processing * templates * sparsity * variable selection * robustness * computational efficiency
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/11104/0334709 - 5.0510771 - ÚTIA 2020 RIV CZ eng C - Conference Paper (international conference)
Kalina, Jan - Neoral, A.
A Robustified Metalearning Procedure for Regression Estimators.
The 13th International Days of Statistics and Economics Conference Proceedings. Slaný: Melandrium, 2019 - (Löster, T.; Pavelka, T.), s. 617-626. ISBN 978-80-87990-18-6.
[International Days of Statistics and Economics /13./. Prague (CZ), 05.09.2019-07.09.2019]
R&D Projects: GA ČR GA17-07384S
Institutional support: RVO:67985556
Keywords : model choice * computational statistics * robustness * variable selection
OECD category: Pure mathematics
http://library.utia.cas.cz/separaty/2019/SI/kalina-0510771.pdf
Permanent Link: http://hdl.handle.net/11104/0301154 - 6.0510554 - ÚI 2020 RIV CZ eng C - Conference Paper (international conference)
Kalina, Jan - Neoral, A.
A Robustified Metalearning Procedure for Regression Estimators.
The 13th International Days of Statistics and Economics Conference Proceedings. Slaný: Melandrium, 2019 - (Löster, T.; Pavelka, T.), s. 617-626. ISBN 978-80-87990-18-6.
[International Days of Statistics and Economics /13./. Prague (CZ), 05.09.2019-07.09.2019]
Grant - others:GA ČR(CZ) GA17-07384S
Institutional support: RVO:67985807
Keywords : model choice * computational statistics * robustness * variable selection
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://msed.vse.cz/msed_2019/sbornik/toc.html
Permanent Link: http://hdl.handle.net/11104/0300999File Download Size Commentary Version Access 0510554-aw.pdf 6 325.3 KB volně online Publisher’s postprint open-access - 7.0489389 - ÚI 2019 RIV CZ eng J - Journal Article
Kalina, Jan
Big Data, Biostatistics and Complexity Reduction.
European Journal for Biomedical Informatics. Roč. 14, č. 2 (2018), s. 24-32. ISSN 1801-5603
R&D Projects: GA MZd(CZ) NV15-29835A
Institutional support: RVO:67985807
Keywords : Biostatistics * Big data * Multivariate statistics * Dimensionality * Variable selection
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/11104/0283810 - 8.0444963 - ÚI 2016 RIV CZ eng J - Journal Article
Kalina, Jan
Statistical Challenges of Big Data Analysis in Medicine.
International Journal on Biomedicine and Healthcare. Roč. 3, č. 1 (2015), s. 24-27. ISSN 1805-8698
R&D Projects: GA ČR GA13-23940S
Grant - others:CESNET Development Fund(CZ) 494/2013
Institutional support: RVO:67985807
Keywords : big data * variable selection * classification * cluster analysis
Subject RIV: BB - Applied Statistics, Operational Research
http://www.ijbh.org/ijbh2015-1.pdf
Permanent Link: http://hdl.handle.net/11104/0247393 - 9.0444727 - ÚI 2016 RIV US eng J - Journal Article
Kalina, Jan - Schlenker, Anna
A Robust Supervised Variable Selection for Noisy High-Dimensional Data.
BioMed Research International. Roč. 2015 (2015), č. článku 320385. ISSN 2314-6133. E-ISSN 2314-6141
R&D Projects: GA ČR GA13-17187S
Institutional support: RVO:67985807
Keywords : dimensionality reduction * variable selection * robustness
Subject RIV: BA - General Mathematics
Impact factor: 2.134, year: 2015
Permanent Link: http://hdl.handle.net/11104/0247234 - 10.0427944 - ÚTIA 2015 AT eng C - Conference Paper (international conference)
Hlaváčková-Schindler, Kateřina
Granger Causality for Ill-Posed Problems: Methods, Ideas and Application in Life Sciences.
Conference on Statistics and Causality. Vienna: University of Vienna, 2014.
[Statistics and Causality - Conference 2014. Vienna (AT), 23.05.2014-24.05.2014]
R&D Projects: GA ČR GA13-13502S
Institutional support: RVO:67985556
Keywords : Granger causality * statistics * variable selection * thresholding
Subject RIV: BB - Applied Statistics, Operational Research
http://library.utia.cas.cz/separaty/2014/AS/hlavackova-schindler-0427944.pdf
Permanent Link: http://hdl.handle.net/11104/0233818