Search results
- 1.0584178 - 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 - 2.0583897 - 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 - 3.0582334 - ÚJF 2024 CZ eng D - Thesis
Mrázková, Jitka
Identification of c-jets in p+p and A+A collisions with machine learning.
Ústav jaderné fyziky AV ČR, v. v. i. Defended: Fakulta jaderná a fyzikálně inženýrská ČVUT v Praze. 05.06.2023. - Praha: České vysoké učení technické v Praze, 2023. 60 s.
Institutional support: RVO:61389005
Keywords : jet physics * charm quarks * quark-gluon plasma * machine learning
OECD category: Particles and field physics
http://hdl.handle.net/10467/108558
Permanent Link: https://hdl.handle.net/11104/0350445 - 4.0581659 - ÚTIA 2025 RIV NL eng J - Journal Article
Baruník, Jozef - Hanus, Luboš
Fan charts in era of big data and learning.
Finance Research Letters. Roč. 61, č. 1 (2024), č. článku 105003. ISSN 1544-6123. E-ISSN 1544-6131
R&D Projects: GA ČR(CZ) GX19-28231X
Institutional support: RVO:67985556
Keywords : Fan charts * Probabilistic forecasting * Machine learning
OECD category: Applied Economics, Econometrics
Impact factor: 10.4, year: 2022
Method of publishing: Limited access
https://www.sciencedirect.com/science/article/pii/S1544612324000333?dgcid=author http://library.utia.cas.cz/separaty/2023/E/barunik-0581659.pdf
Permanent Link: https://hdl.handle.net/11104/0349774 - 5.0579619 - ÚEM 2024 RIV US eng J - Journal Article
Pardini, B. - Ferrero, G. - Tarallo, S. - Gallo, G. - Francavilla, A. - Licheri, N. - Trompetto, M. - Clerico, G. - Senore, P. - Vymetálková, Veronika - Vodičková, Ludmila - Liška, V. - Vyčítal, O. - Levý, O. - Macinga, P. - Hucl, T. - Budinská, E. - Vodička, Pavel - Cordero, F. - Naccarati, A.
A Fecal MicroRNA Signature by Small RNA Sequencing Accurately Distinguishes Colorectal Cancers: Results From a Multicenter Study.
Gastroenterology. Roč. 165, č. 3 (2023), s. 582-599. ISSN 0016-5085. E-ISSN 1528-0012
R&D Projects: GA ČR(CZ) GA17-16857S; GA ČR(CZ) GA22-05942S; GA MZd(CZ) NV18-03-00199; GA MŠMT LX22NPO5102
Institutional support: RVO:68378041
Keywords : Stool MicroRNAs * Noninvasive Diagnosis * Small RNA Sequencing * Colorectal Cancer * Precancerous Lesions * Machine Learning
OECD category: Biochemistry and molecular biology
Impact factor: 29.4, year: 2022
Method of publishing: Open access
https://www.sciencedirect.com/science/article/pii/S0016508523008119?via%3Dihub
Permanent Link: https://hdl.handle.net/11104/0348441File Download Size Commentary Version Access Pardini 2023.pdf 1 47.9 MB Publisher’s postprint open-access - 6.0579589 - ÚI 2024 RIV CH eng C - Conference Paper (international conference)
Neruda, Roman - Figueroa-Garcia, J.C.
Feature Selection for Performance Estimation of Machine Learning Workflows.
International Conference on Information Technology and Systems: ICITS 2023, Volume 1. Cham: Springer, 2023 - (Rocha, A.; Ferrás, C.; Ibarra, W.), s. 351-359. Lecture Notes in Networks and Systems, 691. ISBN 978-3-031-33257-9. ISSN 2367-3370.
[ICITS 2023: International Conference on Information Technology and Systems /6./. Cusco (PE), 24.04.2023-26.04.2023]
Institutional support: RVO:67985807
Keywords : Auto-ML * Machine learning * Performance estimation
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://doi.org/10.1007/978-3-031-33258-6_33
Permanent Link: https://hdl.handle.net/11104/0348401 - 7.0579554 - ÚTIA 2024 RIV NL eng J - Journal Article
Žid, Pavel - Haindl, Michal - Havlíček, Vojtěch
Governmental Anti-Covid Measures Effectiveness Detection.
Procedia Computer Science. Roč. 225, č. 1 (2023), s. 2922-2931. ISSN 1877-0509.
[International Conference on Knowledge-Based and Intelligent Information & Engineering Systems 2023 (KES 2023) /27./. Athens, 06.09.2023-08.09.2023]
R&D Projects: GA ČR(CZ) GA19-12340S
Institutional support: RVO:67985556
Keywords : COVID-19 * Recursive forecasting model * Machine learning method * Prediction * Anti-pandemic measures
OECD category: Automation and control systems
Method of publishing: Open access
http://library.utia.cas.cz/separaty/2023/RO/zid-0579554.pdf https://www.sciencedirect.com/science/article/pii/S1877050923014436?via%3Dihub
Permanent Link: https://hdl.handle.net/11104/0348913 - 8.0577928 - MÚA 2024 RIV US eng C - Conference Paper (international conference)
Lanz, V. - Hajič, Jan
Text boundaries do not provide a better segmentation of Gregorian antiphons.
DLfM ’23: Proceedings of the 10th International Conference on Digital Libraries for Musicology. New York: Association for Computing Machinery, 2023 - (Thomae, M.), s. 72-76. ISBN 979-8-4007-0833-6.
[International Conference on Digital Libraries for Musicology /10./. Milan (IT), 10.11.2023]
Grant - others:John Templeton Foundation(US) 61913
Program: Cultural Evolution Society Transformation Fund
Source of funding: N - Non-public resources
Keywords : digital musicology * Gregorian chant * machine learning
OECD category: Performing arts studies (Musicology, Theater science, Dramaturgy)
https://doi.org/10.1145/3625135.3625143
Permanent Link: https://hdl.handle.net/11104/0347008 - 9.0577144 - ÚI 2024 RIV CH eng J - Journal Article
Štěpánek, Lubomír - Dlouhá, Jana - Martinková, Patrícia
Item Difficulty Prediction Using Item Text Features: Comparison of Predictive Performance across Machine-Learning Algorithms.
Mathematics. Roč. 11, č. 19 (2023), č. článku 4104. ISSN 2227-7390
R&D Projects: GA ČR(CZ) GA21-03658S
Institutional support: RVO:67985807
Keywords : text-based item difficulty prediction * text features and item wording * machine learning * regularization methods * elastic net regression * support vector machines * regression and decision trees * random forests * neural networks * algorithm vs. domain expert’s prediction performance
Impact factor: 2.4, year: 2022
Method of publishing: Open access
https://dx.doi.org/10.3390/math11194104
Permanent Link: https://hdl.handle.net/11104/0346365File Download Size Commentary Version Access 0577144-aoa.pdf 0 715.6 KB OA CC BY 4.0 Publisher’s postprint open-access - 10.0576325 - PSÚ 2024 RIV CH eng C - Conference Paper (international conference)
Mekyska, J. - Galáž, Z. - Šafárová, Katarína - Zvončák, V. - Čunek, Lukáš - Urbánek, Tomáš - Havigerová, Jana Marie - Bednářová, Jiřina - Mucha, J. - Gavenčiak, M. - Smékal, Z. - Faundez-Zanuy, M.
Assessment of Developmental Dysgraphia Utilising a Display Tablet.
Graphonomics in Human Body Movement. Bridging Research and Practice from Motor Control to Handwriting Analysis and Recognition. Vol. 14285. Cham: Springer, 2023 - (Parziale, A.; Diaz, M.; Melo, F.), s. 21-35. ISBN 978-3-031-45460-8.
[International Conference of the International Graphonomics Society /21./. Évora (PT), 16.10.2023-19.10.2023]
R&D Projects: GA TA ČR(CZ) TL03000287
Institutional support: RVO:68081740
Keywords : developmental dysgraphia * handwriting difficulties * handwriting proficiency * online handwriting * computerised assessment * machine learning * display tablet
OECD category: Psychology (including human - machine relations)
https://link.springer.com/book/10.1007/978-3-031-45461-5
Permanent Link: https://hdl.handle.net/11104/0345914File Download Size Commentary Version Access 0576325 M Šafárová et al_Assessment...pdf 0 805.8 KB Author´s preprint require