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  1. 2023

  2. Using PCA Machine Learning Approach Based on Psychological Questionnaires and Spectral Characteristics of the EEG to Separate the Healthy Participants and Participants with Major Depressive Disorder

    Merkulova, E. A., Kozulin, I. A., Savostyanov, A. N., Bocharov, A. V. & Privodnova, E. Y., 2023, 24th IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2023; Novosibirsk; Russian Federation; 29 June 2023 до 3 July 2023. Institute of Electrical and Electronics Engineers (IEEE), p. 1740-1745 6 p.

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

  3. 2022

  4. Verification Method of Hypothesis Based on Different EEG Data Statistical Processing

    Merkulova, E. A., Ladonovskaya, K. V., Bocharov, A. V. & Kozulin, I. A., 2022, Proceedings of the 2022 IEEE 23rd International Conference of Young Professionals in Electron Devices and Materials, EDM 2022. IEEE Computer Society, p. 525-529 5 p. (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM; vol. 2022-June).

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

  5. 2021

  6. Interchannel nonlinearity compensation using a perturbative machine learning technique

    Kozulin, I. A. & Redyuk, A. A., 15 Aug 2021, In: Optics Communications. 493, 127026.

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

ID: 41345110