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  1. 2025

  2. Temporal and frequency features play different role in recognizing preparation of voluntary movements from electroencephalogram

    Сагатдинов, А. Р., Липкович, М., Князева, В. М. & Александров, А. А., 1 Oct 2025, In: The European Physical Journal Special Topics. 234, 15, p. 4317–4328 12 p.

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

  3. 2024

  4. Detection of the intention to perform a two-staged movement from EEG signals

    Sagatdinov, A., Knyazeva, V., Lipkovich, M. & Aleksandrov, A., 19 Sep 2024, p. 183-186. 4 p.

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

  5. 2023

  6. Evoked potentials detection during self-initiated movements using machine learning approach

    Липкович, М., Князева, В. М., Александров, А. А., Шанарова, Н. Л., Сагатдинов, А. Р. & Фрадков, А. Л., 16 Oct 2023, p. 47-50. 4 p.

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

  7. Применение алгоритма "Полоска" для онлайнового декодирования ЭЭГ-паттернов

    Липкович, М. & Сагатдинов, А. Р., 13 Jun 2023, In: МЕХАТРОНИКА, АВТОМАТИЗАЦИЯ, УПРАВЛЕНИЕ. 24, 6, p. 300-306 7 p.

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

  8. Application of Machine Learning to Diagnostics of Schizophrenia Patients Based on Event-Related Potentials

    Шанарова, Н. Л., Пронина, М. В., Липкович, М., Пономарев, В., Muller, A. & Кропотов, Ю. Д., 30 Jan 2023, In: Diagnostics. 13, 3

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

  9. 2022

  10. Machine learning based diagnostics of schizophrenia patients

    Shanarova, N., Pronina, M., Lipkovich, M. & Kropotov, J., 21 Oct 2022, Proceedings - 6th Scientific School "Dynamics of Complex Networks and their Applications", DCNA 2022. Institute of Electrical and Electronics Engineers Inc., p. 252-255 4 p. (Proceedings - 6th Scientific School "Dynamics of Complex Networks and their Applications", DCNA 2022).

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

  11. Классификация сигналов электроэнцефалограмм человека на определение намерения совершить движение

    Шанарова, Н. Л., Липкович, М., Волошина, А. И., Александров, А. А. & Князева, В. М., 5 Oct 2022, (E-pub ahead of print) 15-я Мультиконференция по проблемам управления (МКПУ-2022), 4-6 октября 2022 г., г. СПб. p. 148-150

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

  12. Adaptive Absolute Stabilization of SISO Systems Based on Circle Criterion

    Lipkovich, M., 2022, In: IEEE Control Systems Letters. 6, p. 2353-2358 6 p.

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

  13. Yakubovich’s method of recursive objective inequalities in machine learning

    Липкович, М., 2022, In: IFAC-PapersOnLine. 55, 12, p. 138-143

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

  14. 2019

  15. Artificial intelligence-based neurofeedback

    Plotnikov, S. A., Lipkovich, M., Semenov, D. M. & Fradkov, A. L., 1 Jan 2019, In: Cybernetics and Physics. 8, 4, p. 287-291

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

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