Search results
- 1.0544026 - ÚI 2022 RIV CH eng C - Conference Paper (international conference)
Kalina, Jan - Vidnerová, Petra - Tichavský, Jan
A Comparison of Trend Estimators under Heteroscedasticity.
Artificial Intelligence and Soft Computing. ICAISC 2021 Proceedings, Part I. Cham: Springer, 2021 - (Rutkowski, L.; Scherer, R.; Korytkowski, M.; Pedrycz, W.; Tadeusiewicz, R.; Zurada, J.), s. 89-98. Lecture Notes in Artificial Intelligence, 12854. ISBN 978-3-030-87985-3. ISSN 0302-9743.
[ICAISC 2021: The International Conference on Artificial Intelligence and Soft Computing /20./. Zakopane / Virtual (PL), 20.06.2021-24.06.2021]
R&D Projects: GA ČR(CZ) GA19-05704S; GA ČR(CZ) GA18-23827S
Institutional support: RVO:67985807
Keywords : Nonlinear regression * Robust neural networks * Taut string * Outliers * Heteroscedasticity
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/11104/0321087 - 2.0537567 - ÚI 2021 RIV US eng C - Conference Paper (international conference)
Suchopárová, Gabriela - Neruda, Roman
Genens: An AutoML System for Ensemble Optimization Based on Developmental Genetic Programming.
2020 IEEE Symposium Series on Computational Intelligence (SSCI). New York: IEEE, 2020, s. 631-638. ISBN 978-1-7281-2547-3.
[IEEE SSCI 2020: IEEE Symposium Series on Computational Intelligence. Canberra / Online (AU), 01.12.2020-04.12.2020]
R&D Projects: GA ČR(CZ) GA18-23827S
Institutional support: RVO:67985807
Keywords : Machine learning * AutoML * Genetic programming * Developmental methods * Pipelines * Vegetation * Optimization * Task analysis * Machine learning algorithms * Computational modeling * Benchmark testing
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/11104/0315396 - 3.0535711 - ÚI 2021 RIV CZ eng C - Conference Paper (international conference)
Vidnerová, Petra - Kalina, Jan
Least Weighted Absolute Value Estimator with an Application to Investment Data.
The 14th International Days of Statistics and Economics Conference Proceedings. Slaný: Melandrium, 2020 - (Löster, T.; Pavelka, T.), s. 1357-1366. ISBN 978-80-87990-22-3.
[International Days of Statistics and Economics /14./. Prague (CZ), 10.09.2020-12.09.2020]
R&D Projects: GA ČR(CZ) GA18-23827S; GA ČR(CZ) GA19-05704S
Institutional support: RVO:67985807
Keywords : robust regression * regression median * implicit weighting * computational aspects * nonparametric bootstrap
OECD category: Statistics and probability
https://msed.vse.cz/msed_2020/article/351-Vidnerova-Petra-paper.pdf
Permanent Link: http://hdl.handle.net/11104/0313658File Download Size Commentary Version Access 0535711-aw.pdf 0 315.6 KB Volně online Publisher’s postprint open-access - 4.0535704 - ÚI 2021 RIV CZ eng C - Conference Paper (international conference)
Kalina, Jan - Vidnerová, Petra
Regression for High-Dimensional Data: From Regularization to Deep Learning.
The 14th International Days of Statistics and Economics Conference Proceedings. Slaný: Melandrium, 2020 - (Löster, T.; Pavelka, T.), s. 418-427. ISBN 978-80-87990-22-3.
[International Days of Statistics and Economics /14./. Prague (CZ), 10.09.2020-12.09.2020]
R&D Projects: GA ČR(CZ) GA19-05704S; GA ČR(CZ) GA18-23827S
Institutional support: RVO:67985807
Keywords : regression * neural networks * robustness * high-dimensional data * regularization
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://msed.vse.cz/msed_2020/article/252-Kalina-Jan-paper.pdf
Permanent Link: http://hdl.handle.net/11104/0313657File Download Size Commentary Version Access 0535704-aw.pdf 0 267.1 KB Volně online Publisher’s postprint open-access - 5.0534837 - ÚI 2021 RIV CH eng C - Conference Paper (international conference)
Vidnerová, Petra - Neruda, Roman
Multi-objective Evolution for Deep Neural Network Architecture Search.
Neural Information Processing. ICONIP 2020 Proceedings, Part III. Cham: Springer, 2020 - (Yang, H.; Pasupa, K.; Chi-Sing Leung, A.; Kwok, J.; Chan, J.; King, I.), s. 270-281. Lecture Notes on Computer Science, 12534. ISBN 978-3-030-63835-1. ISSN 0302-9743.
[ICONIP 2020: International Conference on Neural Information Processing /27./. Bangkok (TH), 23.11.2020-27.11.2020]
R&D Projects: GA ČR(CZ) GA18-23827S
Institutional support: RVO:67985807
Keywords : neural architecture search * deep neural networks * multi-objective evolution
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/11104/0312997File Download Size Commentary Version Access 0534837-a.pdf 2 626 KB Publisher’s postprint require - 6.0534830 - ÚI 2021 RIV CH eng C - Conference Paper (international conference)
Vidnerová, Petra - Procházka, Štěpán - Neruda, Roman
Multiobjective Evolution for Convolutional Neural Network Architecture Search.
Artificial Intelligence and Soft Computing. ICAISC 2020 Proceedings, Part I. Cham: Springer, 2020 - (Rutkowski, L.; Scherer, R.; Korytkowski, M.; Pedrycz, W.; Tadeusiewicz, R.; Zurada, J.), s. 261-270. Lecture Notes on Computer Science, 12415. ISBN 978-3-030-61400-3. ISSN 0302-9743.
[ICAISC 2020: International Conference on Artificial Intelligence and Soft Computing /19./. Zakopane (PL), 12.10.2020-14.10.2020]
R&D Projects: GA ČR(CZ) GA18-23827S
Institutional support: RVO:67985807
Keywords : Multi-objective evolution * Neural architecture search * Convolutional neural networks
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/11104/0312994File Download Size Commentary Version Access 0534830-a.pdf 1 574.3 KB Publisher’s postprint require - 7.0534345 - ÚI 2021 RIV US eng C - Conference Paper (international conference)
Procházka, Štěpán - Neruda, Roman
Black-box Evolutionary Search for Adversarial Examples against Deep Image Classifiers in Non-Targeted Attacks.
2020 International Joint Conference on Neural Networks (IJCNN): Conference Proceedings. Piscataway: IEEE, 2020, č. článku 9207688. ISBN 978-1-7281-6926-2.
[IJCNN 2020: International Joint Conference on Neural Networks /33./. Glasgow (GB), 19.07.2020-24.07.2020]
R&D Projects: GA ČR(CZ) GA18-23827S
Institutional support: RVO:67985807
Keywords : Machine learning * Perturbation methods * Task analysis * Data models * Computer architecture * Sociology * Statistics
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/11104/0312558 - 8.0532657 - ÚI 2021 RIV US eng C - Conference Paper (international conference)
Figueroa-Garcia, J.C. - Neruda, Roman - Chalco-Cano, Y. - Roman-Flores, H.
On the Relationship Between the Centroid and the Footprint of Uncertainty of Interval Type-2 Fuzzy Numbers.
2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Piscataway: IEEE, 2020, č. článku 9177600. ISBN 978-1-7281-6932-3.
[FUZZ 2020: IEEE International Conference on Fuzzy Systems. Glasgow (GB), 19.07.2020-24.07.2020]
R&D Projects: GA ČR(CZ) GA18-23827S
Institutional support: RVO:67985807
Keywords : Type-2 fuzzy numbers * K-M algorithm * centroid
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/11104/0311087 - 9.0531580 - ÚI 2021 RIV CH eng C - Conference Paper (international conference)
Vidnerová, Petra - Kalina, Jan - Güney, Y.
A Comparison of Robust Model Choice Criteria Within a Metalearning Study.
Analytical Methods in Statistics. Cham: Springer, 2020 - (Maciak, M.; Pešta, M.; Schindler, M.), s. 125-141. Proceedings in Mathematics & Statistics. ISBN 978-3-030-48813-0.
[AMISTAT 2019: Analytical Methods in Statistics. Liberec (CZ), 16.09.2019-19.09.2019]
R&D Projects: GA ČR(CZ) GA19-05704S; GA ČR(CZ) GA18-23827S
Institutional support: RVO:67985807
Keywords : Automatic method selection * Linear regression * Robust estimation * Robust Akaike criterion
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/11104/0310207 - 10.0525292 - ÚI 2021 RIV CH eng C - Conference Paper (international conference)
Kalina, Jan - Vidnerová, Petra
On Robust Training of Regression Neural Networks.
Functional and High-Dimensional Statistics and Related Fields. Cham: Springer, 2020 - (Aneiros, G.; Horová, I.; Hušková, M.; Vieu, P.), s. 145-152. Contributions to Statistics. ISBN 978-3-030-47755-4. ISSN 1431-1968.
[IWFOS 2020/2021: International Workshop on Functional and Operatorial Statistics /5./. Online (CZ), 23.06.2021-25.06.2021]
R&D Projects: GA ČR(CZ) GA19-05704S; GA ČR(CZ) GA18-23827S
Institutional support: RVO:67985807
Keywords : Neural networks * Nonlinear regression * Nonlinear quantiles * Robustness * Optimization
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/11104/0309464