| 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 | 13 | 2011 |
| 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 | 9 | 2021 |
| 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 | 8 | 2018 |
| 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 | 8 | 2015 |
| Topology of magnetic fields from MDI data: Background field IS Knyazeva, NG Makarenko, LM Karimova Astronomy reports 54, 747-755, 2010 | 7 | 2010 |
| 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 | 6 | 2016 |
| 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 | 6 | 2015 |
| Multifractal analysis of digital images, Izvestiya VUZ NG Makarenko, IS Knyazeva Applied Nonlinear Dynamics 17 (5), 85-98, 2009 | 6 | 2009 |
| 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 | 5 | 2018 |
| 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 | 5 | 2014 |
| Magnetic field topology by MDI data: Active region NG Makarenko, IS Knyazeva, LM Karimova Astronomy letters 38 (8), 531-542, 2012 | 5 | 2012 |
| 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 | 4 | 2022 |
| Topological data analysis approach for weighted networks embedding I Knyazeva, O Talalaeva Networks in the Global World V: Proceedings of NetGloW 2020 5, 81-100, 2021 | 4 | 2021 |
| 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 | 4 | 2020 |
| 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 | 4 | 2017 |
| 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 | 4 | 2016 |
| 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 | 4 | 2016 |
| 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 | 4 | 2014 |
| 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 | 4 | 2013 |
| Magnetic-field variations and solar flare activity IY Grigor’eva, AN Shakhovskaya, MA Livshits, IS Knyazeva Astronomy Reports 56, 887-894, 2012 | 4 | 2012 |
Maxim KireevФГБУН Институт мозга человека им Н.П. Бехтеревой РАН在 ihb.spb.ru 的电子邮件经过验证
