Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Kateřina Hlaváčková"'
Publikováno v:
Entropy, Vol 25, Iss 6, p 910 (2023)
The present Special Issue of Entropy, entitled "Causal Inference for Heterogeneous Data and Information Theory", covers various aspects of causal inference [...]
Externí odkaz:
https://doaj.org/article/932dbd12ec7f4854984b5ff5ca05d583
Publikováno v:
Entropy, Vol 22, Iss 12, p 1400 (2020)
The heterogeneous graphical Granger model (HGGM) for causal inference among processes with distributions from an exponential family is efficient in scenarios when the number of time observations is much greater than the number of time series, normall
Externí odkaz:
https://doaj.org/article/8a576f68d7924489a204d3aa3a7e3c04
Publikováno v:
Journal of Experimental Botany.
Leguminous plants have established mutualistic endosymbiotic interactions with nitrogen-fixing rhizobia to secure nitrogen sources in root nodules. Before nodule formation, the development of early symbiotic structures is essential for rhizobia docki
The number of wind farms and amount of wind power production in Europe, both on- and offshore, have increased rapidly in the past years. To ensure grid stability and on-time (re)scheduling of maintenance tasks and to mitigate fees in energy trading,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a54e279ada319032655d212a4a7e0215
https://doi.org/10.5194/gmd-16-251-2023
https://doi.org/10.5194/gmd-16-251-2023
The amount of wind farms and wind power production in Europe, both on- and off-shore, has increased rapidly in the past years. To ensure grid stability, on-time (re)scheduling of maintenance tasks and mitigate fees in energy trading, accurate predict
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f33448246f18a3ee36308975f95ff39b
https://doi.org/10.5194/egusphere-2022-599
https://doi.org/10.5194/egusphere-2022-599
Autor:
Martin Perdacher, Kateřina Hlaváčková-Schindler, Lukas Miklautz, Benjamin Schelling, Robert Fritze, Can Altinigneli, Maximilian Leodolter, Sahar Behzadi, Claudia Plant, Lena Greta Marie Bauer, Ylli Sadikaj
Publikováno v:
Datenbank-Spektrum. 20:71-79
How can we extract meaningful knowledge from massive amounts of data? The data mining group at University of Vienna contributes novel methods for exploratory data analysis. Our main research focus is on unsupervised learning, where we want to identif
Autor:
Kateřina Hlaváčková, Miroslav Ovečka, Hanna Bednarz, Karsten Niehaus, Miroslava Hrbáčková, Jozef Šamaj, Petr Dvořák, Dominik Novák, Michaela Tichá, Ivan Luptovčiak, Olga Šamajová
Publikováno v:
Plant Biotechnology Journal
Summary Nitrogen‐fixing rhizobia and legumes have developed complex mutualistic mechanism that allows to convert atmospheric nitrogen into ammonia. Signalling by mitogen‐activated protein kinases (MAPKs) seems to be involved in this symbiotic int
Autor:
Michaela, Tichá, Kateřina, Hlaváčková, Miroslava, Hrbáčková, Miroslav, Ovečka, Olga, Šamajová, Jozef, Šamaj
Publikováno v:
Methods in cell biology. 160
Study of microtubules on cellular and subcellular levels is compromised by limited resolution of conventional fluorescence microscopy. However, it is possible to improve Abbe's diffraction-limited resolution by employment of super-resolution microsco
Autor:
Olga Šamajová, Kateřina Hlaváčková, Miroslava Hrbáčková, Jozef Šamaj, Michaela Tichá, Miroslav Ovečka
Study of microtubules on cellular and subcellular levels is compromised by limited resolution of conventional fluorescence microscopy. However, it is possible to improve Abbe's diffraction-limited resolution by employment of super-resolution microsco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a61397406405ed315f8820dd89cc2336
https://doi.org/10.1016/bs.mcb.2020.03.004
https://doi.org/10.1016/bs.mcb.2020.03.004