1. Using Few-Shot Learning Techniques for Named Entity Recognition and Relation Extraction

    Bondarenko, I., Berezin, S., Pauls, A., Batura, T., Rubtsova, Y. & Tuchinov, B., 14 Nov 2020, Proceedings - 2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020. Novosibirsk, Russia: Institute of Electrical and Electronics Engineers Inc., p. 58-65 8 p. 9303192. (Proceedings - 2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020).

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

  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 Inc., p. 1740-1745 6 p.

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

  3. Validation of the Russian Version of the Broad Autism Phenotype Questionnaire in a Russian Speaking Sample of Neurotypical Subjects

    Kuleshov, D., Vlasov, M. & Vergunov, E., 8 Aug 2025, International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM. IEEE Computer Society, p. 1770-1773 4 p. (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM).

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

  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. Wav2vec2 Without Attention: Do You Need Hopfield Networks for Self-Supervised Learning of Speech Representations?

    Grebenkin, D. & Bondarenko, I., Oct 2024, In: Journal of Mathematical Sciences (United States). 285, 1, p. 28-35 8 p.

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

  6. 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

  7. Автоматическое фенотипирование морфологии колоса тетра- и гексаплоидных видов пшеницы методами компьютерного зрения

    Pronozin, A. Y., Paulish, A. A., Zavarzin, E. A., Prikhodko, A. Y., Prokhoshin, N. M., Kruchinina, Y. V., Goncharov, N. P., Komyshev, E. G. & Genaev, M. A., Feb 2021, In: Vavilovskii Zhurnal Genetiki i Selektsii. 25, 1, p. 71-81 11 p., 8.

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

  8. 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

  9. Анализ активности мозга по данным функциональной МРТ при эмоциональной оценке себя и других людей

    Knyazev, G. G., Bocharov, A. V., Savostyanov, A. N., Levin, E. A. & Rudych, P. D., 2020, In: Журнал высшей нервной деятельности им. И. П. Павлова. 70, 1, p. 31-39 9 p.

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

ID: 3085523