Search results
- 1.0568306 - ÚI 2024 RIV CH eng J - Journal Article
Korel, L. - Yorsh, U. - Behr, A. S. - Kockmann, N. - Holeňa, Martin
Text-to-Ontology Mapping via Natural Language Processing with Application to Search for Relevant Ontologies in Catalysis.
Computers. Roč. 12, č. 1 (2023), č. článku 14. ISSN 2073-431X
Institutional support: RVO:67985807
Keywords : text representation learning * text classification * text preprocessing * text data * ontology
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Method of publishing: Open access
https://dx.doi.org/10.3390/computers12010014
Permanent Link: https://hdl.handle.net/11104/0339633
File Download Size Commentary Version Access 0568306-afinoa.pdf 2 1.9 MB OA CC BY 4.0 Publisher’s postprint open-access - 2.0567441 - ÚI 2023 RIV CH eng J - Journal Article
Dropka, N. - Tang, X. - Chappa, G. K. - Holeňa, Martin
Smart Design of Cz-Ge Crystal Growth Furnace and Process.
Crystals. Roč. 12, č. 12 (2022), č. článku 1764. ISSN 2073-4352. E-ISSN 2073-4352
Institutional support: RVO:67985807
Keywords : Czochralski Ge growth * CFD training data * furnace design * process design * regression tree * correlation coefficient
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 2.670, year: 2021
Method of publishing: Open access
https://dx.doi.org/10.3390/cryst12121764
Permanent Link: https://hdl.handle.net/11104/0338696
- 3.0561617 - ÚI 2023 GB J - Journal Article
Sheikhi, A. - Mesiar, R. - Holeňa, Martin
A dimension reduction in neural network using copula matrix.
International Journal of General Systems. Online AUG 2022 (2023). ISSN 0308-1079. E-ISSN 1563-5104
Institutional support: RVO:67985807
Keywords : Principal component * copula * neural network * correlation * association measure
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 2.435, year: 2021
Method of publishing: Limited access
https://dx.doi.org/10.1080/03081079.2022.2108029
Permanent Link: https://hdl.handle.net/11104/0334185
- 4.0547633 - ÚI 2022 RIV CH eng J - Journal Article
Dropka, N. - Böttcher, K. - Holeňa, Martin
Development and Optimization of VGF-GaAs Crystal Growth Process Using Data Mining and Machine Learning Techniques.
Crystals. Roč. 11, č. 10 (2021), č. článku 1218. ISSN 2073-4352. E-ISSN 2073-4352
R&D Projects: GA ČR(CZ) GA18-18080S
Institutional support: RVO:67985807
Keywords : VGF-GaAs growth * machine learning * data mining * decision trees * correlation analysis * PCA biplot * k-means clustering
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 2.670, year: 2021
Method of publishing: Open access
http://dx.doi.org/10.3390/cryst11101218
Permanent Link: http://hdl.handle.net/11104/0323829
File Download Size Commentary Version Access 0547633-afin.pdf 3 3.2 MB OA CC BY 4.0 Publisher’s postprint open-access - 5.0541776 - ÚI 2022 RIV CH eng J - Journal Article
Dropka, N. - Ecklebe, S. - Holeňa, Martin
Real Time Predictions of VGF-GaAs Growth Dynamics by LSTM Neural Networks.
Crystals. Roč. 11, č. 2 (2021), č. článku 138. ISSN 2073-4352. E-ISSN 2073-4352
R&D Projects: GA ČR(CZ) GA18-18080S
Institutional support: RVO:67985807
Keywords : neural networks * crystal growth * GaAs * process control * digital twins
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 2.670, year: 2021
Method of publishing: Open access
Permanent Link: http://hdl.handle.net/11104/0319303
File Download Size Commentary Version Access 541776-aoa.pdf 2 3.5 MB OA CC BY 4.0 Publisher’s postprint open-access - 6.0525271 - ÚI 2021 RIV US eng J - Journal Article
Górecki, J. - Hofert, M. - Holeňa, Martin
Hierarchical Archimedean Copulas for Matlab and Octave: The HACopula Toolbox.
Journal of Statistical Software. Roč. 93, č. 10 (2020), s. 1-36. ISSN 1548-7660. E-ISSN 1548-7660
R&D Projects: GA ČR GA17-01251S
Institutional support: RVO:67985807
Keywords : copula * hierarchical Archimedean copula * structure * family * estimation * collapsing * sampling * goodness-of-fit * Kendall’s tau * tail dependence * MATLAB * Octave
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 6.440, year: 2020
Method of publishing: Open access
Permanent Link: http://hdl.handle.net/11104/0309452
File Download Size Commentary Version Access 0525271-aoa.pdf 6 2.5 MB OA CC BY 3.0 Publisher’s postprint open-access - 7.0522404 - ÚI 2021 RIV GB eng J - Journal Article
Kopp, M. - Pevný, T. - Holeňa, Martin
Anomaly explanation with random forests.
Expert Systems With Applications. Roč. 149, 1 July (2020), č. článku 113187. ISSN 0957-4174. E-ISSN 1873-6793
R&D Projects: GA ČR GA17-01251S
Grant - others: GA ČR(CZ) GA18-21409S
Program: GA
Institutional support: RVO:67985807
Keywords : Anomaly detection * Anomaly explanation * Classification rules * Feature selection * Random forests
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 6.954, year: 2020
Method of publishing: Limited access
http://dx.doi.org/10.1016/j.eswa.2020.113187
Permanent Link: http://hdl.handle.net/11104/0306903
- 8.0505764 - ÚI 2020 RIV NL eng J - Journal Article
Dropka, N. - Holeňa, Martin - Ecklebe, S. - Frank-Rotsch, C. - Winkler, J.
Fast Forecasting of VGF Crystal Growth Process by Dynamic Neural Networks.
Journal of Crystal Growth. Roč. 521, 1 September (2019), s. 9-14. ISSN 0022-0248. E-ISSN 1873-5002
R&D Projects: GA ČR(CZ) GA18-18080S
Institutional support: RVO:67985807
Keywords : Computer simulation * Fluid flows * Gradient freeze technique
OECD category: Condensed matter physics (including formerly solid state physics, supercond.)
Impact factor: 1.632, year: 2019
Method of publishing: Limited access
http://dx.doi.org/10.1016/j.jcrysgro.2019.05.022
Permanent Link: http://hdl.handle.net/11104/0297153
- 9.0498868 - ÚI 2020 RIV US eng J - Journal Article
Bajer, L. - Pitra, Z. - Repický, J. - Holeňa, Martin
Gaussian Process Surrogate Models for the CMA Evolution Strategy.
Evolutionary Computation. Roč. 27, č. 4 (2019), s. 665-697. ISSN 1063-6560. E-ISSN 1530-9304
R&D Projects: GA ČR GA17-01251S; GA ČR(CZ) GA18-18080S
Grant - others: GA MŠk(CZ) LM2015042
Institutional support: RVO:67985807
Keywords : Black-box optimization * CMA-ES * Gaussian processes * evolution strategies * surrogate modeling
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 3.933, year: 2019
Method of publishing: Limited access
http://dx.doi.org/10.1162/evco_a_00244
Permanent Link: http://hdl.handle.net/11104/0291157
File Download Size Commentary Version Access 0498868-afin.pdf 10 29.7 MB Publisher’s postprint require 0498868-acc.pdf 8 3.8 MB Proofreading v. Author’s postprint require 0498868subm.pdf 12 2.7 MB Submitted Author´s preprint open-access - 10.0478633 - ÚI 2018 RIV GB eng J - Journal Article
Górecki, J. - Hofert, M. - Holeňa, Martin
On Structure, Family and Parameter Estimation of Hierarchical Archimedean Copulas.
Journal of Statistical Computation and Simulation. Roč. 87, č. 17 (2017), s. 3261-3324. ISSN 0094-9655. E-ISSN 1563-5163
R&D Projects: GA ČR GA17-01251S
Institutional support: RVO:67985807
Keywords : copula estimation * goodness-of-fit * Hierarchical Archimedean copula * structure determination
OECD category: Statistics and probability
Impact factor: 0.869, year: 2017
Permanent Link: http://hdl.handle.net/11104/0274688
File Download Size Commentary Version Access a0478633.pdf 9 11.5 MB Publisher’s postprint require