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  1. Task-positive and task-negative networks and their relation to depression: EEG beamformer analysis

    Knyazev, G. G., Savostyanov, A. N., Bocharov, A. V., Tamozhnikov, S. S. & Saprigyn, A. E., 1 Jun 2016, In: Behavioural Brain Research. 306, p. 160-169 10 p.

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

  2. Task-driven approach to artificial intelligence

    Vityaev, E. E., Goncharov, S. S. & Sviridenko, D. I., Sept 2023, In: Cognitive Systems Research. 81, p. 50-56 7 p.

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

  3. System Architecture for Reading and Interpreting Physical Printouts of Medical Forms

    Snegireva, E., Khazankin, G. R. & Mikheenko, I., 30 Jun 2021, 2021 IEEE 22nd International Conference of Young Professionals in Electron Devices and Materials, EDM 2021 - Proceedings. IEEE Computer Society, p. 547-550 4 p. 9507594. (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM; vol. 2021-June).

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

  4. System architecture for deep packet inspection in high-speed networks

    Khazankin, G. R., Komarov, S., Kovalev, D., Barsegyan, A. & Likhachev, A., 18 Oct 2017, Proceedings - 2017 Siberian Symposium on Data Science and Engineering, SSDSE 2017. Institute of Electrical and Electronics Engineers Inc., p. 27-32 6 p. 8071958

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

  5. Suppression of Alpha and Beta Oscillations in the Course of Virtual Social Interactions

    Bocharov, A. V., Savostyanov, A. N., Saprygin, A. E., Merkulova, E. A., Tamozhnikov, S. S., Proshina, E. A. & Knyazev, G. G., Feb 2023, In: Human Physiology. 49, 1, p. 35-43 9 p.

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

  6. Suppression mediates the effect of 5-HTTLPR by stress interaction on depression

    Knyazev, G. G., Bazovkina, D. V., Savostyanov, A. N., Naumenko, V. S., Kuznetsova, V. B. & Proshina, E. A., 1 Oct 2017, In: Scandinavian Journal of Psychology. 58, 5, p. 373-378 6 p.

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

  7. Superposition as Data Augmentation using LSTM and HMM in Small Training Sets

    Павловский, Е. Н. & Сивасвами, А., 24 Oct 2019, Daejeon, South Korea: Cornell University, 5 p.

    Research output: Working paper

  8. Subjective Expert Evaluations in the Model-Theoretic Representation of Object Domain Knowledge

    Yakhyaeva, G. & Skokova, V., 2021, Artificial Intelligence - 19th Russian Conference, RCAI 2021, Proceedings. Kovalev, S. M., Kuznetsov, S. O. & Panov, A. I. (eds.). Springer Science and Business Media Deutschland GmbH, p. 152-165 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12948 LNAI).

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

  9. Studies of the 5-HTTLPR Serotonin Transporter Polymorphism (literature review)

    Proshina, E. A., Bocharov, A. V., Savostyanov, A. N. & Knyazev, G. G., Jul 2022, In: Neuroscience and Behavioral Physiology. 52, 6, p. 899-909 11 p.

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

  10. Stroop-like animal size test: Links with child effortful control, personality and problem behavior

    Bairova, N. B., Bocharov, A. V., Savostyanov, A. N., Petrenko, E. N., Kozlova, E. A., Saprigyn, A. E. & Slobodskaya, H. R., 2 Apr 2020, In: Child Neuropsychology. 26, 3, p. 409-432 24 p.

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

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