1. 2026
  2. Multi-Expert Regression with Integrated Environment Indicators for Forecasting Unstable Dynamic Systems

    Мусаев, А. А., Макшанов, А. & Григорьев, Д. А., 18 May 2026, Proceedings - 2026 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2026. Institute of Electrical and Electronics Engineers Inc., p. 407-412 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  3. Improving The Performance of State Museums During A Pandemic: The Case Of Russian Museums During Covid-19

    Колычева, В. А., Гиленко, Е. В., Немцева, В. В. & Буравая, С. И., May 2026, The Performativity of Politics in Digital Arts, Media and AI. In The Performativity of Politics in Digital Arts, Media and AI. Edited collection of themed essays.. University of Arts in Belgrade, p. 442-483

    Research output: Chapter in Book/Report/Conference proceedingArticle in an anthologyResearchpeer-review

  4. Defining the payback period for nonconventional cash flows: An axiomatic approach

    Sokolov, MV., 31 Mar 2026, (E-pub ahead of print) In: Engineering Economist.

    Research output: Contribution to journalArticlepeer-review

  5. Noise-Robust Condition Monitoring Using Variational Mode Decomposition and Neural Networks

    Макшанов, А., Мусаев, А. А. & Григорьев, Д. А., 23 Mar 2026, 2026 International Russian Smart Industry Conference (SmartIndustryCon). Institute of Electrical and Electronics Engineers Inc., p. 108-114 7 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  6. A Method for Visualizing the Dynamic Characteristics of Economic Time Series Data

    Гадасина, Л. В. & Лабуткин, И. А., 2026, Digital Economy. Emerging Technologies and Business Innovation. ICDEc 2025. Springer Nature, p. 432-443 12 p. (Lecture Notes in Business Information Processing; vol. 560).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  7. Детерминанты рождаемости в Российской Федерации: факторный анализ методом градиентного бустинга

    Колычева, В. А. & Захарова, М. С., 2026, Основные тренды в демографических событиях: проблемы и решения. Екатеринбург: Институт экономики УрО РАН, p. 541-550

    Research output: Chapter in Book/Report/Conference proceedingArticle in an anthologyResearchpeer-review

  8. 2025
  9. Нейросетевое извлечение торговых рекомендаций из аналитических прогнозов: подход к управлению финансовыми активами

    Зайцев, А. Р., Маджуга, Б. А., Григорьев, Д. А. & Григорьева, А. В., 31 Dec 2025, In: ВЕСТНИК САНКТ-ПЕТЕРБУРГСКОГО УНИВЕРСИТЕТА. ЭКОНОМИКА. 41, 4, p. 583–607

    Research output: Contribution to journalArticlepeer-review

  10. A Multi-Expert Evolutionary Boosting Method for Proactive Control in Unstable Environments

    Мусаев, А. А. & Григорьев, Д. А., 2 Nov 2025, In: Algorithms. 18, 11, 692.

    Research output: Contribution to journalArticlepeer-review

  11. Ensemble Multi-Expert Forecasting: Robust Decision-Making in Chaotic Financial Markets

    Мусаев, А. А. & Григорьев, Д. А., 29 May 2025, In: Journal of Risk and Financial Management. 18, 6, 296.

    Research output: Contribution to journalArticlepeer-review

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