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  1. Adaptive algorithms for change point detection in financial time series

    Мусаев, А. А., Григорьев, Д. А. & Колосов, М., 2024, In: AIMS Mathematics. 9, 12, p. 35238-35263

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

  2. Agent-Based Model of Tax Control Under Information Spreading

    Губар, Е. А., Кумачева, С. Ш., Житкова, Е. М., Томилина, Г. & Carrera, E. J. S., 11 Oct 2024, Frontiers of Dynamic Games. Birkhäuser Verlag AG, p. 67-91 25 p. (Trends in Mathematics; vol. Part F3521).

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

  3. AI-experiments in education: An AI-driven randomized controlled trial for higher education research

    Cingillioglu, I., Gal, U. & Прохоров, А. Б., 1 Oct 2024, In: Education and Information Technologies. 29, 15, p. 19649–19677

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

  4. A MULTI-EXPERT APPROACH TO IMPROVING DICTIONARY-BASED SENTIMENT ANALYSIS WITH CORRELATED FOREX MARKET DATA

    Мусаев, А. А. & Григорьев, Д. А., 2023, In: Journal of Theoretical and Applied Information Technology. 101, 21

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

  5. Analytics for an E-commerce: Demand Analysis and Prediction

    Гадасина, Л. В. & Карпович, А. Е., 2024, Computational Data and Social Networks. CSoNet 2023. Lecture Notes in Computer Science. Springer Nature, p. 419-420

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

  6. A new approach to credit ratings

    Pertaia, G., Prokhorov, A. & Uryasev, S., 1 Feb 2021, In: Journal of Banking and Finance. 106097.

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

  7. A new family of copulas, with application to estimation of a production frontier system

    Amsler, C., Prokhorov, A. & Schmidt, P., Feb 2021, In: Journal of Productivity Analysis. 55, 1, 14 p.

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

  8. Application and Development of the Expected Goals for Hockey Player Evaluation

    Shmakov, N., J.S., D. (ed.), M., I. (ed.) & Z., H. (ed.), 2024, 1st International Sports Analytics Conference and Exhibition, ISACE 2024. Springer Nature, p. 235-248 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14794 LNCS).

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

  9. Application of Machine Learning Methods to Assess Player Skills via Business Simulation Logs

    Гадасина, Л. В., Масалимова, А. А. & Вьюненко, Л. Ф., 2025, Digital Economy. Emerging Technologies and Business Innovation (ICDEc 2024). Cham: Springer Nature, p. 3–16 14 p. (Lecture Notes in Business Information Processing; vol. 531 LNBIP).

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

  10. Application of Simulation Modeling to Assess the Operation of Urban Toll Plazas

    Талавиря, А. Ю., Ласкин, М. Б. & Dubgorn, A., 2 Nov 2023, Simulation Modeling - Recent Advances, New Perspectives, and Applications. : Имитационное моделирования - текущее состояние, новые перспективы и приложения. Great Britain: InTech, 58 p.

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

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