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  1. Алгоритм предобработки сигнала импульсного нейтронного гамма-каротажа с учетом статистической зависимости соседних элементов спектра

    Косогова, Н. О. & Власов, А. А., 2019, In: Вестник Новосибирского государственного университета. Серия: Информационные технологии. 17, 1, p. 42-52 11 p.

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

  2. Автоматическое фенотипирование морфологии колоса тетра- и гексаплоидных видов пшеницы методами компьютерного зрения

    Pronozin, A. Y., Paulish, A. A., Zavarzin, E. A., Prikhodko, A. Y., Prokhoshin, N. M., Kruchinina, Y. V., Goncharov, N. P., Komyshev, E. G. & Genaev, M. A., 2021, In: Vavilovskii Zhurnal Genetiki i Selektsii. 25, 1, p. 71-81 11 p., 8.

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

  3. Witness emittance growth caused by driver density fluctuations in plasma wakefield accelerators

    Minakov, V. A., Tacu, M., Sosedkin, A. P. & Lotov, K. V., 1 Sept 2018, In: Physics of Plasmas. 25, 9, 6 p., 093112.

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

  4. Visualization of graph presentations of data-flow programs

    Kasyanov, V. N. & Zolotuhin, T. A., 1 Dec 2018, p. 138-141. 4 p.

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

  5. Utilizing Lexicographic Resources for Sentiment Classification in Uzbek Language

    Mengliev, D. B., Akhmedov, E. Y., Barakhnin, V. B., Hakimov, Z. A. & Alloyorov, O. M., 2023, Proceedings of the 2023 IEEE 16th International Scientific and Technical Conference Actual Problems of Electronic Instrument Engineering, APEIE 2023. Institute of Electrical and Electronics Engineers (IEEE), p. 1720-1724 5 p.

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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

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