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  1. Using Few-Shot Learning Techniques for Named Entity Recognition and Relation Extraction

    Bondarenko, I., Berezin, S., Pauls, A., Batura, T., Rubtsova, Y. & Tuchinov, B., 14 Nov 2020, Proceedings - 2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020. Novosibirsk, Russia: Institute of Electrical and Electronics Engineers Inc., p. 58-65 8 p. 9303192. (Proceedings - 2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020).

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

  2. USE OF REFRACTION FROM COAL SEAM WASHING FOR REDUCING DEVELOPMENT RISKS

    Павлович, Р. Э., Дучков, А. А. & Яскевич, С., 2023, In: Geology and Mineral Resources of Siberia. 2, p. 51-59 9 p.

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

  3. Traveltime-table compression using artificial neural networks for Kirchhoff-migration processing of microseismic data

    Grubas, S. I., Loginov, G. N. & Duchkov, A. A., 1 Sept 2020, In: Geophysics. 85, 5, p. U121-U128 8 p.

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

  4. Timing shifts retrieval for the multi-well downhole microseismic monitoring in isotropic and anisotropic (VTI) media

    Yaskevich, S. & Duchkov, A., 1 Jan 2020, p. 3106-3110. 5 p.

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

  5. Thraustochytrids: Evolution, Ultrastructure, Biotechnology, and Modeling

    Menzorov, A. G., Iukhtanov, D. A., Naumenko, L. G., Bobrovskikh, A. V., Zubairova, U. S., Morozova, K. N. & Doroshkov, A. V., 7 Dec 2024, In: International Journal of Molecular Sciences. 25, 23, 25 p., 13172.

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

  6. The use of the neural network for traveltimes approximation for inhomogeneous velocity models

    Grubas, S., Loginov, G. & Duchkov, A., 3 Jun 2019, 81st EAGE Conference and Exhibition 2019. EAGE Publishing BV, (81st EAGE Conference and Exhibition 2019).

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

  7. The Task-Based Approach: A New Paradigm for Building Trustworthy Artificial Intelligence

    Nechesov, A. V., Vityaev, E. E., Goncharov, S. S. & Sviridenko, D. I., 2025, In: Bulletin of Irkutsk State University, Series Mathematics. 54, p. 96-112 17 p., 7.

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

  8. THE SOFTWARE SYSTEM FOR THE STUDY THE MORPHOLOGY OF THE KAZAKH LANGUAGE

    Barakhnin, V. B., Fedotov, A. M., Bakiyeva, A. M., Bakiyev, M. N., Tazhibayeva, S. Z., Batura, T. V., Kozhemyakina, O. Y., Tussupov, D. A., Sambetbaiyeva, M. A. & Lukpanova, L. K., 2017, ICPE 2017: INTERNATIONAL CONFERENCE ON PSYCHOLOGY AND EDUCATION. Malykh, SB. & Nikulchev, EV. (eds.). FUTURE ACAD, p. 18-27 10 p. (European Proceedings of Social and Behavioural Sciences; vol. 33).

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

  9. The Siberian multimodal brain tumor image segmentation dataset

    Голушко, С. К., Амелина, Е. В., Groza, V., Амелин, М. Е., Толстокулаков, Н. Ю., Тучинов, Б. Н. & Pavlovskiy, E., 2020.

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

  10. The peculiarities of the parallel implementation of particle-in-cell method

    Romanenko, A. A. & Snytnikov, A. V., 1 Jan 2018, In: Vestnik Udmurtskogo Universiteta: Matematika, Mekhanika, Komp'yuternye Nauki. 28, 3, p. 419-426 8 p.

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

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