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  1. Bi-Solitons on the Surface of a Deep Fluid: An Inverse Scattering Transform Perspective Based on Perturbation Theory

    Gelash, A., Dremov, S., Mullyadzhanov, R. & Kachulin, D., 29 Mar 2024, In: Physical Review Letters. 132, 13, p. 133403 133403.

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

  2. BERTScore для русского языка

    Бручес, Е. П., Батурова, Д. Т. & Бондаренко, И., 2025, In: Труды Института системного программирования РАН. 37, 3, p. 147-158

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

  3. BERT-like Models for Slavic Morpheme Segmentation

    Morozov, D., Astapenka, L., Glazkova, A., Garipov, T. & Lyashevskaya, O., Jul 2025, Proceedings of the Annual Meeting of the Association for Computational Linguistics. Che, W., Nabende, J., Shutova, E. & Pilehvar, M. T. (eds.). Association for Computational Linguistics, p. 6795-6815 21 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 1).

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

  4. BERT-like Models for Automatic Morpheme Segmentation of the Russian Language

    Morozov, D., Glazkova, A. & Garipov, T., 2025, In: Компьютерная лингвистика и интеллектуальные технологии. 23, p. 206-223 10 p.

    Research output: Contribution to journal › Conference article › peer-review

  5. Belarusian Word Forms Morpheme Segmentation: Data and Evaluation

    Morozov, D. A., Shcherbakova, O. A. & Astapenka, L., 2026, In: Компьютерная лингвистика и интеллектуальные технологии. 24, p. 429-437 9 p.

    Research output: Contribution to journal › Conference article › peer-review

  6. Backflow phenomenon in converging and diverging channels

    Zaripov, D., Li, R., Lukyanov, A., Skrypnik, A., Ivashchenko, E., Mullyadzhanov, R. & Markovich, D., Jan 2023, In: Experiments in Fluids. 64, 1, 11 p., 9.

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

  7. A programmable ultrasound-based system for reconstructing the three-dimensional structure of the superficial femoral artery

    Tarasov, K. O., Epifanov, R. U. I., Gostev, A. A., Lysikov, D. A., Karpenko, A. A. & Mullyadzhanov, R. I., Sept 2024, In: Biomedical Engineering. 58, 3, p. 158-162 5 p.

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

  8. Automatic Retinogeniculate Visual Pathway Identification Based on Data-driven Fiber Clustering and Anatomical Constrains

    Zeng, Q., Zhang, J., Chen, S., Xie, L., Huang, J., He, J., Pan, Y., Yu, J., Hu, Q., Amelina, E., Amelin, M. & Feng, Y., 2023, Chinese Control Conference, CCC. Institute of Electrical and Electronics Engineers Inc., p. 8015-8020 6 p.

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

  9. Automatic Morpheme Segmentation for Russian: Can an Algorithm Replace Experts?

    Morozov, D., Garipov, T., Lyashevskaya, O., Savchuk, S., Iomdin, B. & Glazkova, A., 30 Dec 2024, In: Journal of Language and Education. 10, 4, p. 71-84 14 p.

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

  10. Automatically hemodynamic analysis of AAA from CT images based on deep learning and CFD approaches

    Fedotova, Y. V., Epifanov, R. U. I., Karpenko, A. A. & Mullyadzhanov, R. I., 15 Dec 2021, In: Journal of Physics: Conference Series. 2119, 1, 012069.

    Research output: Contribution to journal › Conference article › peer-review

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