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pro vyhledávání: '"Kachan, Oleg"'
Autor:
Kachan, Oleg, Bernstein, Alexander
Most approaches to the estimation of brain functional connectivity from the functional magnetic resonance imaging (fMRI) data rely on computing some measure of statistical dependence, or more generally, a distance between univariate representative ti
Externí odkaz:
http://arxiv.org/abs/2209.11703
Autor:
Onuchin, Arsenii A., Kachan, Oleg N.
Traditionally, extracting patterns from eye movement data relies on statistics of different macro-events such as fixations and saccades. This requires an additional preprocessing step to separate the eye movement subtypes, often with a number of para
Externí odkaz:
http://arxiv.org/abs/2205.10667
Publikováno v:
IEEE Access 2022
The training of Generative Adversarial Networks (GANs) requires a large amount of data, stimulating the development of new augmentation methods to alleviate the challenge. Oftentimes, these methods either fail to produce enough new data or expand the
Externí odkaz:
http://arxiv.org/abs/2104.00925
Akademický článek
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Autor:
Banerjee, Pradeep Kr., Sumukh Bansal, Demir, Ilke, Quang, Minh Ha, Huang, Lin, Hühnerbein, Ruben, James, Scott C, Kachan, Oleg, Ly, Louis, Lysaker, Marius, Samee Maharjan, Mallasto, Anton, Montufar, Guido, Sandfort, Kai, Schonsheck, Stefan C., Suárez-Serrato, Pablo, Tóthová, Katarína, Wang, Yu Guang, Xian, Jia Le, Xiang, Rui, Hongkai Zhao
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffbcc8dfcbe17be879949dfea2224c51
Autor:
Osten, Wolfgang, Nikolaev, Dmitry P., Bernstein, Alexander, Burnaev, Eugeny, Sharaev, Maxim, Kondrateva, Ekaterina, Kachan, Oleg
Publikováno v:
Proceedings of SPIE; January 2020, Vol. 11433 Issue: 1 p114332H-114332H-7, 1028996p
