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Irina S Knyazeva
Irina S Knyazeva
N.P. Bechtereva Institute of the Human Brain, Russian Academy of Sciences, Saint-Petersburg, Russia
Подтвержден адрес электронной почты в домене ihb.spb.ru - Главная страница
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Процитировано
Год
Detection of new emerging magnetic flux from the topology of SOHO/MDI magnetograms
IS Knyazeva, NG Makarenko, MA Livshits
Astronomy reports 55, 463-471, 2011
122011
Texture recognition in digital images by computational topology methods
NG Makarenko, FA Urtiev, IS Knyazeva, DB Malkova, IT Park, ...
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz Kosmosa 12 (1 …, 2015
92015
Providing evidence for the null hypothesis in functional magnetic resonance imaging using group-level Bayesian inference
R Masharipov, I Knyazeva, Y Nikolaev, A Korotkov, M Didur, ...
Frontiers in Neuroinformatics 15, 738342, 2021
72021
Resting state dynamic functional connectivity: Network topology analysis
I Knyazeva, A Poyda, V Orlov, V Verkhlyutov, N Makarenko, S Kozlov, ...
Biologically Inspired Cognitive Architectures 23, 43-53, 2018
72018
Topology of magnetic fields from MDI data: Background field
IS Knyazeva, NG Makarenko, LM Karimova
Astronomy reports 54, 747-755, 2010
72010
Dynamic clustering of connections between fMRI resting state networks: A comparison of two methods of data analysis
V Zavyalova, I Knyazeva, V Ushakov, A Poyda, N Makarenko, D Malakhov, ...
Biologically Inspired Cognitive Architectures (BICA) for Young Scientists …, 2016
62016
Comparison of the dynamics of active regions by methods of computational topology
IS Knyazeva, NG Makarenko, FA Urt’ev
Geomagnetism and Aeronomy 55, 1134-1140, 2015
62015
Multifractal analysis of digital images, Izvestiya VUZ
NG Makarenko, IS Knyazeva
Applied Nonlinear Dynamics 17 (5), 85-98, 2009
62009
GPU-based high-performance computing of multichannel EEG phase wavelet synchronization.
A Efitorov, I Knyazeva, B Yulia, S Danko
Procedia computer science 123, 128-133, 2018
52018
Methods of computational topology for the analysis of dynamics of active regions of the Sun
N Makarenko, D Malkova, M Machin, I Knyazeva, I Makarenko
Journal of Mathematical Sciences 203, 806-815, 2014
52014
Magnetic field topology by MDI data: Active region
NG Makarenko, IS Knyazeva, LM Karimova
Astronomy letters 38 (8), 531-542, 2012
52012
Multi-output deep learning framework for solar atmospheric parameters inferring from stokes profiles
I Knyazeva, A Plotnikov, T Medvedeva, N Makarenko
Advances in Neural Computation, Machine Learning, and Cognitive Research V …, 2022
42022
Deep-learning approach for mcintosh-based classification of solar active regions using hmi and mdi images
I Knyazeva, A Rybintsev, T Ohinko, N Makarenko
Advances in Neural Computation, Machine Learning, and Cognitive Research III …, 2020
42020
On the prognostic efficiency of topological descriptors for magnetograms of active regions
IS Knyazeva, FA Urtiev, NG Makarenko
Geomagnetism and Aeronomy 57 (8), 1086-1091, 2017
42017
Analysis of the Solar magnetograms evolution using a spectral gap of critical nets
IS Knyazeva, NG Makarenko, I Makarenko, A Vdovina, FA Urtiev
Journal of Physics: Conference Series 738 (1), 012070, 2016
42016
The new approach for dynamical regimes detection in geomagnetic time series
IS Knyazeva, NG Makarenko, YA Kuperin, LA Dmitrieva
Journal of Physics: Conference Series 675 (3), 032028, 2016
42016
Evolution of the magnetic fields of solar flare active regions from the geometry and topology of HMI/SDO magnetograms
IS Knyazeva, NG Makarenko
Astronomy Reports 58, 145-155, 2014
42014
Methods of computational topology for the analysis of dynamics of active regions of the Sun
NG Makarenko, DB Malkova, ML Myachin, IS Knyazeva, IN Makarenko
Fundamentalnaya i Prikladnaya Matematika 18 (2), 79-93, 2013
42013
Magnetic-field variations and solar flare activity
IY Grigor’eva, AN Shakhovskaya, MA Livshits, IS Knyazeva
Astronomy Reports 56, 887-894, 2012
42012
47Glioblastoma gene expression profile diagnostics by the artificial neural networks
AA Mekler, I Knyazeva, DR Schwartz, YA Kuperin, VV Dmitrenko, ...
Optical Memory and Neural Networks 19, 181-186, 2010
42010
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