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  1. 2022

  2. Доказательство теоремы Бельтюкова — Липшица квазиэлиминацией кванторов. II. Основное сведение

    Старчак, М. Р., 4 Jan 2022, In: ВЕСТНИК САНКТ-ПЕТЕРБУРГСКОГО УНИВЕРСИТЕТА. МАТЕМАТИКА. МЕХАНИКА. АСТРОНОМИЯ. 66, 4, p. 608-619

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

  3. Numerical Studies of Statistical Management Decisions in Conditions of Stochastic Chaos

    Мусаев, А. А. & Григорьев, Д. А., 1 Jan 2022, In: Mathematics. 10, 2, 14 p., 226.

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

  4. Analyzing and forecasting financial series with singular spectral analysis

    Макшанов, А., Мусаев, А. А. & Григорьев, Д. А., 2022, In: Dependence Modeling. 10, 1, p. 215-224 10 p.

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

  5. Artionyms and Machine Learning: Auto Naming of the Paintings

    Алтынова, А. Ю., Григорьев, Д. А., Семёнов, А. В. & Колычева, В. А., 2022, (SSRN Electronic Journal).

    Research output: Working paper › Preprint

  6. Grey intergalactic dust could explain the Hubble constant tension

    Yershov, V., Raikov, A., Lovyagin, N., Kuin, P. & Popova, E., 2022, Astronomy at the Epoch of Multimessenger Studies: Proceedings of the BAK-2021 conference, 23-28 August, 2021 in Moscow. p. 411-413

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

  7. Impact of Self-Learning Based High-Frequency Traders on the Stock Market

    Мансуров, К. Д., Семёнов, А. В., Григорьев, Д. А., Радионов, А. В. & Ибрагимов, Р., 2022, (Submitted) In: Journal of Economic Dynamics and Control.

    Research output: Contribution to journal › Article

  8. Machine Learning-Based Cyber-Physical Systems for Forecasting Short-Term State of Unstable Systems

    Мусаев, А. А. & Григорьев, Д. А., 2022, Cyber-Physical Systems: Intelligent Models and Algorithms. Springer Nature, p. 189-200 12 p. (Studies in Systems, Decision and Control; vol. 417).

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

  9. Online Social Network Post Classification: A Multiclass approach

    Oliseenko, V. D., Tulupyeva, T. V. & Abramov, M. V., 2022, Proceedings of the 5th International Scientific Conference “Intelligent Information Technologies for Industry”, IITI 2021. Kovalev, S., Tarassov, V., Snasel, V. & Sukhanov, A. (eds.). Springer Nature, p. 207-215 9 p. (Lecture Notes in Networks and Systems; vol. 330 LNNS).

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

  10. Price and color of abstract paintings. Is there a connection? // CSoNet 2022 (The 11th International Conference on Computational Data and Social Networks). December 5-7, 2022, Orlando, FL, United States, Virtual Conference.

    Колычева, В. А., Григорьев, Д. А., Борисов, М. А. & Семёнов, А. В., 2022.

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

  11. Superluminous quasars and mesolensing

    Raikov, A., Lovyagin, N. & Yershov, V., 2022, Astronomy at the epoch of multimessenger studies: Proceedings of the VAK-2021 conference, Aug 23–28, 2021. M: Janus-K, p. 392-394

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

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