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  1. 2020

  2. Graph Dynamics of Solar Active Regions: Morse–Smale Complexes and Multiscale Graphs of Magnetograms

    Alekseev, V. V., Makarenko, N. G. & Knyazeva, I. S., Jul 2020, In: Astronomy Letters. 46, 7, p. 488-500 13 p.

    Research output: Contribution to journal › Article › peer-review

  3. Deep-learning approach for McIntosh-based classification of solar active regions using HMI and MDI images

    Knyazeva, I., Rybintsev, A., Ohinko, T. & Makarenko, N., 2020, Advances in Neural Computation, Machine Learning, and Cognitive Research III - Selected Papers from the XXI International Conference on Neuroinformatics, 2019. Kryzhanovsky, B., Dunin-Barkowski, W., Redko, V. & Tiumentsev, Y. (eds.). Springer Nature, p. 239-245 7 p. (Studies in Computational Intelligence; vol. 856).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  4. Topological Properties of Brain Networks Underlying Deception: fMRI Study of Psychophysiological Interactions

    Knyazeva, I., Kireev, M., Masharipov, R., Zheltyakova, M., Korotkov, A., Nikolay, M. & Svyatoslav, M., 2020, Complex Networks and Their Applications VIII - Volume 2 Proceedings of the 8th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2019. Cherifi, H., Gaito, S., Mendes, J. F., Moro, E. & Rocha, L. M. (eds.). Springer Nature, p. 868-879 12 p. (Studies in Computational Intelligence; vol. 882 SCI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  5. 2019

  6. Features of Spatiotemporal Clustering in a Maunder Butterfly Diagram

    Volobuev, D. M. & Knyazeva, I. S., 1 Dec 2019, In: Geomagnetism and Aeronomy. 59, 8, p. 1036-1041 6 p.

    Research output: Contribution to journal › Article › peer-review

  7. Single trial eeg classification of tasks with dominance of mental and sensory attention with deep learning approach

    Knyazeva, I., Efitorov, A., Boytsova, Y., Danko, S., Shiroky, V. & Makarenko, N., 1 Jan 2019, Studies in Computational Intelligence. Vol. 799. p. 190-195 6 p. (Studies in Computational Intelligence).

    Research output: Chapter in Book/Report/Conference proceeding › Article in an anthology › Research › peer-review

  8. Spatial and temporal dynamics of eeg parameters during performance of tasks with dominance of mental and sensory attention

    Knyazeva, I., Yulia, B., Danko, S. & Makarenko, N., 1 Jan 2019, Studies in Computational Intelligence. Springer Nature, Vol. 799. p. 321-327 7 p. (Studies in Computational Intelligence; vol. 799).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research › peer-review

  9. Learning dynamical regimes of solar active region via homology estimation

    Knyazeva, I. S., 2019, p. 235-242. 8 p.

    Research output: Contribution to conference › Paper › peer-review

  10. 2018

  11. GPU-based high-performance computing of multichannel EEG phase wavelet synchronization

    Efitorov, A., Knyazeva, I., Yulia, B. & Danko, S., 1 Jan 2018, In: Procedia Computer Science. 123, p. 128-133 6 p.

    Research output: Contribution to journal › Conference article › peer-review

  12. Resting state dynamic functional connectivity: Network topology analysis

    Knyazeva, I., Poyda, A., Orlov, V., Verkhlyutov, V., Makarenko, N., Kozlov, S., Velichkovsky, B. & Ushakov, V., 1 Jan 2018, In: Biologically Inspired Cognitive Architectures. 23, p. 43-53 11 p.

    Research output: Contribution to journal › Article › peer-review

  13. 2017

  14. On the Prognostic Efficiency of Topological Descriptors for Magnetograms of Active Regions

    Knyazeva, I. S., Urtiev, F. A. & Makarenko, N. G., 1 Dec 2017, In: Geomagnetism and Aeronomy. 57, 8, p. 1086-1091 6 p.

    Research output: Contribution to journal › Article › peer-review

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