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  1. Аллельные полиморфизмы транспортера серотонина как фактор формирования когнитивного контроля над поведением у якутов

    Karpova, A. G., Savostyanov, A. N., Bazovkina, D. V., Tamozhnikov, S. S., Saprygin, A. E., Proshina, E. A., Borisova, N. V. & Aftanas, L. I., 2017, In: Yakut medical journal. 3, p. 21-24 4 p.

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

  2. Алгоритм предобработки сигнала импульсного нейтронного гамма-каротажа с учетом статистической зависимости соседних элементов спектра

    Косогова, Н. О. & Власов, А. А., 2019, In: Вестник Новосибирского государственного университета. Серия: Информационные технологии. 17, 1, p. 42-52 11 p.

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

  3. Автоматизированная обучающая система Linguoman

    Лебедева, А. Д., Шевчук, Е. С. & Яхъяева, Г. Э., 26 May 2021, Роспатент - Федеральная служба по интеллектуальной собственности, Patent No. 2021618335, Priority date 4 May 2021, Priority No. 2021617014

    Research output: Patent › Software registration

  4. Σ-Definability in Hereditarily Finite Superstructures and Computable Analysis

    Aleksandrova, S. A., 1 Sept 2018, In: Siberian Mathematical Journal. 59, 5, p. 763-767 5 p.

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

  5. Will and self-regulation: An interdisciplinary research experience

    Savostyanov, A. N., Stepanova, V. V. & Tolstykh, N. N., 1 Jan 2019, In: Cultural-Historical Psychology. 15, 3, p. 91-104 14 p.

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

  6. Wannier Diagrams for Semiconductor Artificial Graphene

    Tkachenko, O. A., Tkachenko, V. A., Baksheev, D. G. & Sushkov, O. P., Nov 2022, In: JETP Letters. 116, 9, p. 638-642 5 p.

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

  7. Verification of industrial control algorithms in virtual laboratory stands

    Liakh, T. & Zyubin, V., 2017, 29th European Modeling and Simulation Symposium, EMSS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017. CAL-TEK S.r.l., p. 380-384 5 p.

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

  8. Utilizing Lexicographic Resources for Sentiment Classification in Uzbek Language

    Mengliev, D. B., Akhmedov, E. Y., Barakhnin, V. B., Hakimov, Z. A. & Alloyorov, O. M., 2023, Proceedings of the 2023 IEEE 16th International Scientific and Technical Conference Actual Problems of Electronic Instrument Engineering, APEIE 2023. Institute of Electrical and Electronics Engineers Inc., p. 1720-1724 5 p.

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

  9. 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 Inc., p. 1740-1745 6 p.

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

  10. Use of Machine Learning Methods to Analyze Patterns of Brain Activity during Assessment of the Self and Others

    Knyazev, G. G., Savostyanov, A. N., Rudych, P. D. & Bocharov, A. V., Sept 2023, In: Neuroscience and Behavioral Physiology. 53, 7, p. 1210-1218 9 p.

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

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