Search results
- 1.0564516 - ÚI 2023 RIV CZ eng C - Conference Paper (international conference)
Kalina, Jan - Neoral, Aleš
Recent Trends in Machine Learning with a Focus on Applications in Finance.
The 16th International Days of Statistics and Economics Conference Proceedings. Praha: Melandrium, 2022 - (Löster, T.; Pavelka, T.), s. 187-196. ISBN 978-80-87990-29-2.
[International Days of Statistics and Economics /16./. Praha (CZ), 08.09.2022-10.09.2022]
R&D Projects: GA ČR(CZ) GA22-02067S
Grant - others:GA ČR(CZ) GA21-19311S
Institutional support: RVO:67985807
Keywords : statistical learning * automated machine learning * metalearning * financial data analysis * stock market investing
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://msed.vse.cz/msed_2022/article/577-Kalina-Jan-paper.pdf
Permanent Link: https://hdl.handle.net/11104/0336174 - 2.0541777 - ÚI 2022 RIV SG eng J - Journal Article
Kalina, Jan - Neoral, Aleš - Vidnerová, Petra
Effective Automatic Method Selection for Nonlinear Regression Modeling.
International Journal of Neural Systems. Roč. 31, č. 10 (2021), č. článku 2150020. ISSN 0129-0657. E-ISSN 1793-6462
R&D Projects: GA ČR(CZ) GA19-05704S; GA ČR(CZ) GA18-23827S
Institutional support: RVO:67985807
Keywords : metalearning * nonlinear regression * robust statistical estimation * feature selection * AutoML
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 6.325, year: 2021
Method of publishing: Limited access
http://dx.doi.org/10.1142/S0129065721500209
Permanent Link: http://hdl.handle.net/11104/0319314File Download Size Commentary Version Access 0541777-afin.pdf 6 2.8 MB Publisher’s postprint require - 3.0524791 - ÚI 2021 RIV CH eng C - Conference Paper (international conference)
Kalina, Jan - Vidnerová, Petra
A Metalearning Study for Robust Nonlinear Regression.
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference. Cham: Springer, 2020 - (Iliadis, L.; Parvanov Angelov, P.; Jayne, C.; Pimenidis, E.), s. 499-510. Proceedings of the International Neural Networks Society. ISBN 978-3-030-48790-4. ISSN 2661-8141.
[EANN 2020: International Conference on Engineering Applications of Neural Networks /21./. Halkidiki (GR), 05.06.2020-07.06.2020]
R&D Projects: GA ČR(CZ) GA19-05704S; GA ČR(CZ) GA18-23827S
Institutional support: RVO:67985807
Keywords : Metalearning * Nonlinear regression * Robust
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://link.springer.com/chapter/10.1007%2F978-3-030-48791-1_39
Permanent Link: http://hdl.handle.net/11104/0309080 - 4.0506986 - ÚTIA 2020 RIV CZ eng C - Conference Paper (international conference)
Kalina, Jan - Pitra, Z.
How to down-weight observations in robust regression: A metalearning study.
Mathematical Methods in Economics 2018. Conference Proceedings. Prague: MatfyzPress, 2018 - (Váchová, L.; Kratochvíl, V.), s. 204-209. ISBN 978-80-7378-371-6.
[MME 2018. International Conference Mathematical Methods in Economics /36./. Jindřichův Hradec (CZ), 12.09.2018-14.09.2018]
R&D Projects: GA ČR GA17-07384S; GA ČR GA17-01251S
Institutional support: RVO:67985556 ; RVO:67985807
Keywords : metalearning * robust statistics * linear regression * outliers
OECD category: Statistics and probability; Statistics and probability (UIVT-O)
http://library.utia.cas.cz/separaty/2019/SI/kalina-0506986.pdf
Permanent Link: http://hdl.handle.net/11104/0298101 - 5.0504176 - ÚI 2021 RIV CH eng C - Conference Paper (international conference)
Kalina, Jan
On Sensitivity of Metalearning: An Illustrative Study for Robust Regression.
Nonparametric Statistics. ISNPS 2018 Conference Proceedings. Cham: Springer, 2020 - (La Rocca, M.; Liseo, B.; Salmaso, L.), s. 261-270. Springer Proceedings in Mathematics & Statistics, 339. ISBN 978-3-030-57305-8. ISSN 2194-1009.
[ISNPS 2018. Conference of the International Society for Nonparametric Statistics /4./. Salerno (IT), 11.06.2018-15.06.2018]
R&D Projects: GA ČR(CZ) GA19-05704S
Institutional support: RVO:67985807
Keywords : metalearning * sensitivity * model choice * robust estimation * data contamination
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/11104/0295867File Download Size Commentary Version Access 0504176-awww.mhtml 3 833.1 KB ulozena www stranka, jinak nepristupne Publisher’s postprint require 0504176-acc.pdf 7 124.4 KB Author’s postprint require - 6.0497292 - ÚI 2019 RIV CZ eng C - Conference Paper (international conference)
Peštová, Barbora - Kalina, Jan
Robust Metalearning: Comparing Robust Regression Using A Robust Prediction Error.
The 12th International Days of Statistics and Economics Conference Proceedings. Slaný: Melandrium, 2018 - (Löster, T.; Pavelka, T.), s. 1367-1376. ISBN 978-80-87990-14-8.
[International Days of Statistics and Economics /12./. Prague (CZ), 06.09.2018-08.09.2018]
R&D Projects: GA ČR GA17-01251S
Institutional support: RVO:67985807
Keywords : metalearning * robust regression * outliers * robust prediction error
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://msed.vse.cz/msed_2018/article/13-Pestova-Barbora-paper.pdf
Permanent Link: http://hdl.handle.net/11104/0289877File Download Size Commentary Version Access 0497292a.pdf 6 626.9 KB Volne na webu Publisher’s postprint open-access - 7.0493805 - ÚI 2019 RIV CZ eng C - Conference Paper (international conference)
Kalina, Jan - Pitra, Zbyněk
How to down-weight observations in robust regression: A metalearning study.
Mathematical Methods in Economics 2018. Conference Proceedings. Prague: MatfyzPress, 2018 - (Váchová, L.; Kratochvíl, V.), s. 204-209. ISBN 978-80-7378-371-6.
[MME 2018. International Conference Mathematical Methods in Economics /36./. Jindřichův Hradec (CZ), 12.09.2018-14.09.2018]
R&D Projects: GA ČR GA17-07384S; GA ČR GA17-01251S
Institutional support: RVO:67985807
Keywords : metalearning * robust statistics * linear regression * outliers
OECD category: Statistics and probability
Permanent Link: http://hdl.handle.net/11104/0287108File Download Size Commentary Version Access a0493805.pdf 21 719.5 KB Publisher’s postprint require - 8.0491783 - ÚI 2019 IT eng A - Abstract
Kalina, Jan - Peštová, Barbora
A comparison of robust nonlinear regression methods by statistical learning.
ISNPS 2018. Book of Abstracts. Salerno, 2018 - (La Rocca, M.; Liseo, B.; Parella, M.; Salmaso, L.; Tardella, L.). s. 42-42. ISBN 978-88-61970-00-7.
[ISNPS 2018. Conference of the International Society for Nonparametric Statistics /4./. 11.06.2018-15.06.2018, Salerno]
Institutional support: RVO:67985807 ; RVO:67985556
Keywords : metalearning * robust estimation * nonlinear regression * nonlinear regression quantiles * heteroscedasticity
OECD category: Statistics and probability
https://drive.google.com/file/d/13Sqxpj5A0oHiNn4jLBGSUPpSmlYvFX-0/view
Permanent Link: http://hdl.handle.net/11104/0285411File Download Size Commentary Version Access a0491783.pdf 8 4.8 MB Publisher’s postprint open-access - 9.0475088 - ÚI 2018 RIV CZ eng C - Conference Paper (international conference)
Kalina, Jan - Peštová, Barbora
Robust Regression Estimators: A Comparison of Prediction Performance.
MME 2017 Mathematical Methods in Economics. Hradec Králové: University of Hradec Králové, 2017 - (Pražák, P.), s. 307-312. ISBN 978-80-7435-678-0.
[MME 2017. International Conference Mathematical Methods in Economics /35./. Hradec Králové (CZ), 13.09.2017-15.09.2017]
R&D Projects: GA ČR GA17-01251S
Institutional support: RVO:67985807
Keywords : robust estimation * linear regression * prediction * outliers * metalearning
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/11104/0271963File Download Size Commentary Version Access a0475088.pdf 1 1.9 MB Publisher’s postprint require - 10.0459144 - ÚI 2017 RIV US eng C - Conference Paper (international conference)
Šmíd, J. - Pilát, M. - Pešková, K. - Neruda, Roman
Co-evolutionary Genetic Programming for Dataset Similarity Induction.
2015 IEEE Congress on Evolutionary Computation. Piscataway: IEEE CS, 2015, s. 1160-1166. ISBN 978-1-4799-7492-4. ISSN 1089-778X. E-ISSN 1941-0026.
[CEC 2015. IEEE Congress on Evolutionary Computation. Sendai (JP), 25.05.2015-28.05.2015]
R&D Projects: GA ČR GA15-19877S
Institutional support: RVO:67985807
Keywords : metalearning * genetic programming * datamining * co-evolution * metric
Subject RIV: IN - Informatics, Computer Science
Permanent Link: http://hdl.handle.net/11104/0259384File Download Size Commentary Version Access a0459144.pdf 1 310.3 KB Publisher’s postprint require