Search results
- 1.0597843 - ÚI 2025 RIV US eng J - Journal Article
Pitra, Z. - Koza, J. - Tumpach, J. - Holeňa, Martin
Landscape Analysis for Surrogate Models in the Evolutionary Black-Box Context.
Evolutionary Computation. August 14 2024 (2024). ISSN 1063-6560. E-ISSN 1530-9304
Institutional support: RVO:67985807
Keywords : Black-box optimization * Surrogate modeling * Landscape analysis * Metalearning CMAES
Impact factor: 4.6, year: 2023
Method of publishing: Limited access
https://doi.org/10.1162/evco_a_00357
Permanent Link: https://hdl.handle.net/11104/0355837 - 2.0585427 - ÚI 2025 DE eng J - Journal Article
Dropka, N. - Böttcher, K. - Chappa, G. K. - Holeňa, Martin
Data-Driven Cz–Si Scale-Up under Conditions of Partial Similarity.
Crystal Research and Technology. Online 09 April 2024 (2024). ISSN 0232-1300. E-ISSN 1521-4079
Institutional support: RVO:67985807
Keywords : artificial neural networks * Cz–Si growth * data-driven scale up * partial similarity * Voronkov criteria
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 1.5, year: 2023
Method of publishing: Open access
https://doi.org/10.1002/crat.202300342
Permanent Link: https://hdl.handle.net/11104/0353135File Download Size Commentary Version Access 0585427-oaonl.pdf 0 5.5 MB OA CC BY 4.0 Publisher’s postprint open-access - 3.0579923 - ÚI 2024 RIV CH eng J - Journal Article
Tang, X. - Chappa, G. K. - Viera, L. - Holeňa, Martin - Dropka, N.
Decision Tree-Supported Analysis of Gallium Arsenide Growth Using the LEC Method.
Crystals. Roč. 13, č. 12 (2023), s. 1659. ISSN 2073-4352. E-ISSN 2073-4352
Institutional support: RVO:67985807
Keywords : LEC growth * gallium arsenide * CFD * regression tree
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 2.4, year: 2023
Method of publishing: Open access
https://doi.org/10.3390/cryst13121659
Permanent Link: https://hdl.handle.net/11104/0348712File Download Size Commentary Version Access 0579923-aoa.pdf 2 5.7 MB OA CC BY 4.0 Author´s preprint open-access - 4.0576081 - ÚI 2025 DE eng J - Journal Article
Dropka, N. - Holeňa, Martin - Thieme, C. - Chou, T.-S.
Development of the VGF Crystal Growth Recipe: Intelligent Solutions of Ill-Posed Inverse Problems using Images and Numerical Data.
Crystal Research and Technology. Online first 23 August 2023 (2024). ISSN 0232-1300. E-ISSN 1521-4079
Institutional support: RVO:67985807
Keywords : artificial neural networks * image data * inverse problems * Kriging * numerical data * reduced order modelling * VGF growth
Impact factor: 1.5, year: 2023
Method of publishing: Open access
https://dx.doi.org/10.1002/crat.202300125
Permanent Link: https://hdl.handle.net/11104/0345705File Download Size Commentary Version Access 0576081-aonloa.pdf 0 1.8 MB OA CC BY 4.0 Publisher’s postprint open-access - 5.0568306 - 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. E-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)
Impact factor: 2.6, year: 2023
Method of publishing: Open access
https://dx.doi.org/10.3390/computers12010014
Permanent Link: https://hdl.handle.net/11104/0339633File Download Size Commentary Version Access 0568306-afinoa.pdf 3 1.9 MB OA CC BY 4.0 Publisher’s postprint open-access - 6.0567441 - 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: 2.7, year: 2022
Method of publishing: Open access
https://dx.doi.org/10.3390/cryst12121764
Permanent Link: https://hdl.handle.net/11104/0338696 - 7.0561617 - ÚI 2024 RIV GB eng J - Journal Article
Sheikhi, A. - Mesiar, R. - Holeňa, Martin
A dimension reduction in neural network using copula matrix.
International Journal of General Systems. Roč. 52, č. 2 (2023), s. 131-146. 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: 2.4, year: 2023
Method of publishing: Limited access
https://dx.doi.org/10.1080/03081079.2022.2108029
Permanent Link: https://hdl.handle.net/11104/0334185 - 8.0547633 - 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/11104/0323829File Download Size Commentary Version Access 0547633-afin.pdf 3 3.2 MB OA CC BY 4.0 Publisher’s postprint open-access - 9.0541776 - 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/11104/0319303File Download Size Commentary Version Access 541776-aoa.pdf 2 3.5 MB OA CC BY 4.0 Publisher’s postprint open-access - 10.0525271 - 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/11104/0309452File Download Size Commentary Version Access 0525271-aoa.pdf 7 2.5 MB OA CC BY 3.0 Publisher’s postprint open-access