Search results
- 1.0585312 - ÚGN 2025 RIV CH eng C - Conference Paper (international conference)
Hasal, M. - Pecha, Marek - Nowaková, J. - Hernández-Sosa, D. - Snášel, V. - Timkovič, J.
Retinal Vessel Segmentation by U-Net with VGG-16 Backbone on Patched Images with Smooth Blending.
Advances in Intelligent Networking and Collaborative Systems. Cham: Springer Cham, 2023 - (Barolli, L.), s. 465-474. Lecture Notes on Data Engineering and Communications Technologies, 182. ISBN 978-3-031-40970-7. ISSN 2367-4512. E-ISSN 2367-4520.
[International Conference on Intelligent Networking and Collaborative Systems (INCoS-2023). Chiang Mai (TH), 06.09.2023-08.09.2023]
Institutional support: RVO:68145535
Keywords : deap learning * semantic segmentation * retina vessels
OECD category: Applied mathematics
https://link.springer.com/chapter/10.1007/978-3-031-40971-4_44
Permanent Link: https://hdl.handle.net/11104/0353022File Download Size Commentary Version Access UGN_0585312.pdf 0 1.5 MB Other require - 2.0585305 - NHÚ 2025 RIV US eng J - Journal Article
Sun, Yiman
A dynamic model of censorship.
Theoretical Economics. Roč. 19, č. 1 (2024), s. 29-60. ISSN 1933-6837. E-ISSN 1555-7561
Grant - others:AV ČR(CZ) LQ300852101
Program: Prémie Lumina quaeruntur
Institutional support: RVO:67985998
Keywords : censorship * information manipulation * learning
OECD category: Applied Economics, Econometrics
Impact factor: 1.7, year: 2022
Method of publishing: Open access
https://doi.org/10.3982/TE4639
Permanent Link: https://hdl.handle.net/11104/0353017 - 3.0585135 - ÚI 2025 RIV DE eng J - Journal Article
Kalina, Jan
Exploring the impact of post-training rounding in regression models.
Applications of Mathematics. Roč. 69, č. 2 (2024), s. 257-271. ISSN 0862-7940. E-ISSN 1572-9109
R&D Projects: GA ČR(CZ) GA22-02067S
Institutional support: RVO:67985807
Keywords : supervised learning * trained model * perturbations * effect of rounding * low-precision arithmetic
OECD category: Statistics and probability
Impact factor: 0.7, year: 2022
Method of publishing: Open access
https://doi.org/10.21136/AM.2024.0090-23
Permanent Link: https://hdl.handle.net/11104/0352867File Download Size Commentary Version Access 0585135-afinoa.pdf 0 184.7 KB OA CC BY 4.0 Publisher’s postprint open-access - 4.0585085 - ÚGN 2025 RIV GB eng J - Journal Article
Nag, A. - Gupta, M. - Ross, N. S. - Klichová, Dagmar - Petrů, J. - Krolczyk, G. M. - Hloch, S.
Real-time prediction and classification of erosion crater characteristics in pulsating water jet machining of different materials with machine learning models.
Archives of Civil and Mechanical Engineering. Roč. 24, č. 2 (2024), č. článku 97. ISSN 1644-9665. E-ISSN 2083-3318
R&D Projects: GA ČR(CZ) GA23-05372S
Institutional support: RVO:68145535
Keywords : droplet erosion * wear * machine learning * crater * prediction * pulsating water jet machining
OECD category: Mechanical engineering
Impact factor: 4.4, year: 2022
Method of publishing: Limited access
https://link.springer.com/article/10.1007/s43452-024-00908-7
Permanent Link: https://hdl.handle.net/11104/0352844File Download Size Commentary Version Access UGN_0585085.pdf 0 3.5 MB Other require - 5.0584910 - FZÚ 2025 RIV GB eng J - Journal Article
Stránský, O. - Tarant, Ivan - Beránek, L. - Holešovský, F. - Pathak, Sunil - Brajer, Jan - Mocek, Tomáš - Denk, Ondřej
Machine learning approach towards laser powder bed fusion manufactured AlSi10Mg thin tubes in laser shock peening.
Surface Engineering. Roč. 40, č. 1 (2024), s. 66-72. ISSN 0267-0844. E-ISSN 1743-2944
Institutional support: RVO:68378271
Keywords : laser powder bed fusion * laser shock peening * porosity * residual stresses * aluminium * machine learning * optimisation
OECD category: Optics (including laser optics and quantum optics)
Impact factor: 2.8, year: 2022
Method of publishing: Open access
Permanent Link: https://hdl.handle.net/11104/0352720File Download Size Commentary Version Access 0584910.pdf 0 1.7 MB CC Licence Publisher’s postprint open-access - 6.0584178 - ÚFP 2024 RIV SK eng C - Conference Paper (international conference)
Abbasi, S. - Mlynář, J. - Chlum, J. - Svoboda, V. - Svoboda, Jakub - Ficker, Ondřej - Brotánková, J.
Machine-learning-based reconstruction of spatial distribution of plasma radiation using color visible cameras at golem tokamak.
21st Conference of Czech and Slovak Physicists. Košice: Slovak Physical Society, 2023, (2023), s. 59-60. ISBN 9788089855216.
[21st Conference of Czech and Slovak Physicists. Bratislava (SK), 04.09.2023-07.09.2023]
Institutional support: RVO:61389021
Keywords : tokamak * GOLEM * machine learning
OECD category: Fluids and plasma physics (including surface physics)
Permanent Link: https://hdl.handle.net/11104/0352161 - 7.0584160 - ÚJČ 2024 RIV GB eng J - Journal Article
Sherman, Tamah - Tůma, F.
Claiming insufficient knowledge in pairwork and groupwork classroom activities.
Learning Culture and Social Interaction. Roč. 43, December 20232 (2023), č. článku 100758. ISSN 2210-6561. E-ISSN 2210-657X
Institutional support: RVO:68378092
Keywords : claims of insufficient knowledge * learning in interaction * conversation Analysis * epistemics * multimodality * groupwork
OECD category: Linguistics
Impact factor: 1.9, year: 2022
Method of publishing: Open access
https://www.sciencedirect.com/science/article/pii/S2210656123000740?ref=pdf_download&fr=RR-2&rr=86443f5a0e92b391
Permanent Link: https://hdl.handle.net/11104/0352188 - 8.0583939 - ÚI 2024 RIV CZ cze A - Abstract
Martinková, Patrícia
Data science pro analýzu přijímacích a maturitních testů.
[Data science for the analysis of admissions and maturita tests.]
Den otevřených dveří Ústavu informatiky AV ČR 2023 - program. Praha: Ústav informatiky AV ČR, 2023.
[Týden Akademie věd ČR. 06.11.2023-12.11.2023, Praha]
R&D Projects: GA TA ČR(CZ) TL05000008
Institutional support: RVO:67985807
Keywords : psychometrics * educational measurement * machine learning
OECD category: Education, general; including training, pedagogy, didactics [and education systems]
https://www.cs.cas.cz/news/2023-11-08-Den-otevrenych-dveri/en
Permanent Link: https://hdl.handle.net/11104/0351919 - 9.0583897 - GFÚ 2024 RIV NL eng J - Journal Article
Liu, H. - Harris, J. - Sherlock, R. - Behnia, P. - Grunsky, E. - Naghizadeh, M. - Rubingh, K. - Tuba, G. - Roots, E. A. - Hill, Graham J.
Mineral prospectivity mapping using machine learning techniques for gold exploration in the Larder Lake area, Ontario, Canada.
Journal of Geochemical Exploration. Roč. 253, October (2023), č. článku 107279. ISSN 0375-6742. E-ISSN 1879-1689
Institutional support: RVO:67985530
Keywords : mineral prospectivity mapping (MPM) * machine learning * partial least-squares-discriminant analysis (PLS-DA) * Random Forest (RF) * Larder Lake area
OECD category: Geology
Impact factor: 3.9, year: 2022
Method of publishing: Limited access
https://www.sciencedirect.com/science/article/abs/pii/S0375674223001267
Permanent Link: https://hdl.handle.net/11104/0351880File Download Size Commentary Version Access Liu2023JGeochemExploration.pdf 1 19.4 MB Publisher’s postprint require - 10.0583650 - BC 2024 RIV FR eng J - Journal Article
Orderud, G.I. - Porcal, Petr - Eikebrokk, B. - Sláma, J. - Vogt, R. D. - Hejzlar, Josef - Haaland, S.
The technological development of drinking water treatment plants in the Czech Republic.
Water Policy. Roč. 25, č. 9 (2023), s. 889-907. ISSN 1366-7017. E-ISSN 1996-9759
R&D Projects: GA TA ČR(CZ) TO01000202
Institutional support: RVO:60077344
Keywords : Development support with economic subsidies * Drinking water treatment plants * Learning-knowledge processes * Technological development
OECD category: Water resources
Impact factor: 1.6, year: 2022
Method of publishing: Open access
https://doi.org/10.2166/wp.2023.102
Permanent Link: https://hdl.handle.net/11104/0351674