Search results
- 1.0583575 - ÚTIA 2024 RIV CZ eng C - Conference Paper (international conference)
Kalina, Jan
Some Robust Approaches to Reducing the Complexity of Economic Data.
The 17th International Days of Statistics and Economics Conference Proceedings. Praha: Melandrium, 2023 - (Löster, T.; Pavelka, T.), s. 246-255. ISBN 978-80-87990-31-5.
[International Days of Statistics and Economics /17./. Praha (CZ), 07.09.2023-09.09.2023]
R&D Projects: GA ČR GA21-05325S
Institutional support: RVO:67985556
Keywords : dimensionality reduction * Big Data * variable selection * robustness * sparsity
OECD category: Statistics and probability
http://library.utia.cas.cz/separaty/2023/SI/kalina-0583575.pdf
Permanent Link: https://hdl.handle.net/11104/0351582 - 2.0581699 - ÚI 2024 RIV CZ eng C - Conference Paper (international conference)
Kalina, Jan
Some Robust Approaches to Reducing the Complexity of Economic Data.
The 17th International Days of Statistics and Economics Conference Proceedings. Praha: Melandrium, 2023 - (Löster, T.; Pavelka, T.), s. 246-255. ISBN 978-80-87990-31-5.
[International Days of Statistics and Economics /17./. Praha (CZ), 07.09.2023-09.09.2023]
R&D Projects: GA ČR GA21-05325S
Institutional support: RVO:67985807
Keywords : dimensionality reduction * Big Data * variable selection * robustness * sparsity
OECD category: Statistics and probability
https://msed.vse.cz/msed_2023/article/687-Kalina-Jan-paper.pdf
Permanent Link: https://hdl.handle.net/11104/0349888File Download Size Commentary Version Access 0581699-awfin.pdf 2 588.2 KB volně online Publisher’s postprint open-access - 3.0581668 - ASÚ 2024 RIV US eng J - Journal Article
Nádvorník, J. - Škoda, Petr - Tvrdík, P.
Hierarchical Semi-Sparse Cubes-Parallel Framework for Storing Multi-Modal Big Data in HDF5.
IEEE Access. Roč. 11, November (2023), s. 119876-119897. ISSN 2169-3536. E-ISSN 2169-3536
Institutional support: RVO:67985815
Keywords : big data * multi-modal data * multi-dimensional data
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 3.9, year: 2022
Method of publishing: Open access
Permanent Link: https://hdl.handle.net/11104/0349775File Download Size Commentary Version Access 581668.pdf 2 3 MB Publisher’s postprint open-access - 4.0579685 - ÚI 2024 RIV US eng M - Monography Chapter
Kalina, Jan
Appropriate artificial intelligence algorithms will ultimately contribute to health equity.
Artificial intelligence, Big data, blockchain and 5G for the digital transformation of the healthcare industry. Cambridge: Academic Press / Elsevier, 2023 - (Ordonez de Pablos, P.; Zhang, X.), s. 153-172. ISBN 9780443215988
R&D Projects: GA MZd(CZ) NU21-08-00432
Institutional support: RVO:67985807
Keywords : medical informatics * information-based medicine * big data * reliability * explainability * ethics
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://shop.elsevier.com/books/artificial-intelligence-big-data-blockchain-and-5g-for-the-digital-transformation-of-the-healthcare-industry/de-pablos/978-0-443-21598-8
Permanent Link: https://hdl.handle.net/11104/0348496 - 5.0578903 - ARÚB 2024 RIV FR eng C - Conference Paper (international conference)
Vlach, Marek - Komoróczy, Balázs - Kmošková, Michaela - Sofka, Stanislav - Szabová, Alina - Smrčka, V. - Růžičková, Pavla - Malíšková, Johana
Multiproxy approach towards the complex understanding of the Germanic chiefdom societies of the Middle Danube region during the Roman Period. An outline of the research project.
Dynamiques des peuplements, des territoires et des paysages. Bilan et perspectives en archéologie spatiale, hommages à Jean-Luc Fiches. Nice: Éditions APDCA, 2023 - (Bertoncello, F.; Ouriachi, M.; Nuninger, L.; Favory, F.), s. 191-202. ISBN 978-2-904110-65-8.
[Settlement, territory and landscape dynamics: Assessment and prospects in spatial archaeology, October 12 – 14, 2022, Nice. Nice (FR), 12.10.2022-14.10.2022]
R&D Projects: GA ČR(CZ) GA20-11070S
Institutional support: RVO:68081758
Keywords : Palaeodemography * big data * spatial analyses * GIS * digital modelling and simulation * Germanic tribes * Middle Danube Region
OECD category: Archaeology
Permanent Link: https://hdl.handle.net/11104/0351494 - 6.0575621 - ARÚ 2024 RIV eng U - Conference, Workshop Arrangement
Riebschläger, F. - Novák, David - Roesler, K. - Auth, F.
Quality measures for mass- and automated recording of archaeological data. 29th EAA Annual Meeting Session #408.
[Belfast, 31.08.2023-31.08.2023, (K-WRD 30/29)]
R&D Projects: GA MŠMT LM2023031
Institutional support: RVO:67985912
Keywords : FAIR * quality control * machine learning * mass recording * big data
OECD category: Archaeology
https://submissions.e-a-a.org/repository/preview.php?id=18210
Permanent Link: https://hdl.handle.net/11104/0345403 - 7.0566793 - SOÚ 2024 RIV CZ cze J - Journal Article
Raudenská, Petra - Topinková, R.
Fenomén #scicomm: využití big data a jejich analýzy při sledování komunikace vědy na internetových stránkách českých výzkumných organizací.
[The #scicomm Phenomenon: Using and Analysing Big Data to Track Science Communication on Czech Research Institutional Websites.]
Sociologický časopis / Czech Sociological Review. Roč. 59, č. 4 (2023), s. 387-415. ISSN 0038-0288. E-ISSN 0038-0288
R&D Projects: GA MK(CZ) DG18P02OVV016
Keywords : science communication * public research institutions * big data analysis * text analysis * topic models * social network analysis
OECD category: Sociology
Impact factor: 0.4, year: 2022
Method of publishing: Open access
https://sreview.soc.cas.cz/corproof.php?tartkey=csr-000000-0250
Permanent Link: https://hdl.handle.net/11104/0338083File Download Size Commentary Version Access J_Raudenska_Topinkova_Fenomén #scicomm_CSR_4.pdf 4 1 MB Publisher’s postprint open-access - 8.0565534 - ÚI 2024 RIV US eng M - Monography Chapter
Kalina, Jan
On Analyzing Complex Data Within Clinical Decision Support Systems.
Diverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems. Hershey: IGI Global, 2023 - (Connoly, T.; Papadopoulos, P.; Soflano, M.), s. 84-104. ISBN 9781668450925
R&D Projects: GA MZd(CZ) NU21-08-00432
Institutional support: RVO:67985807
Keywords : clinical decision making * deep learning * machine learning * dimensionality reduction * big data
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://dx.doi.org/10.4018/978-1-6684-5092-5.ch004
Permanent Link: https://hdl.handle.net/11104/0337060 - 9.0556700 - GFÚ 2023 RIV GB eng J - Journal Article
Ruetenik, Gregory A.
Introducing RiverProfileApp, a web application for near-global, exploratory, longitudinal river profile analysis.
International Journal of Digital Earth. Roč. 15, č. 1 (2022), s. 679-689. ISSN 1753-8947. E-ISSN 1753-8955
Institutional support: RVO:67985530
Keywords : river profile analysis * geomorphology * big data * science communication
OECD category: Geology
Impact factor: 5.1, year: 2022
Method of publishing: Open access
https://www.tandfonline.com/doi/full/10.1080/17538947.2022.2055173
Permanent Link: http://hdl.handle.net/11104/0330836File Download Size Commentary Version Access Ruetenik2022IJDE.pdf 0 2.5 MB Publisher’s postprint open-access - 10.0555705 - ARÚB 2022 RIV cze A - Abstract
Lečbychová, Olga
Velká výzkumná infrastruktura AriadnePlus – standardizovaná péče o mezinárodní data a výzkum bez bariér.
[Archaeological research infrastructure ARIADNEplus - standardised international data stewardship and research without barriers.]
[Počítačová podpora v archeologii /20./. Bořetice, 25.10.2021-27.10.2021]
Method of presentation: Poster
Event organizer: Masarykova univerzita
URL events: https://archeo-muzeo.phil.muni.cz/ppa2021
R&D Projects: GA MŠMT(CZ) LM2018134
Keywords : research infrastructure * archaeological data * big data
OECD category: Archaeology
Permanent Link: http://hdl.handle.net/11104/0330223