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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. Using EPICS channel access protocol in Novosibirsk FeL control system

    Serednyakov, S. S., 17 Nov 2020, Synchrotron and Free Electron Laser Radiation: Generation and Application, SFR 2020. Knyazev, B. & Vinokurov, N. (eds.). American Institute of Physics Inc., 020008. (AIP Conference Proceedings; vol. 2299).

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

  3. Using eigenmoduli and eigenstates to evaluate the possibility of martensitic phase transformations

    Annin, B. D., Ostrosablin, N. I. & Ugryumov, R. I., Sept 2021, In: Journal of Applied Mechanics and Technical Physics. 62, 5, p. 709-716 8 p., 1.

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

  4. Using Doping to Modify the Properties of SrFeO 3 and SrCoO 3 Oxides: DFT Calculations of the Electronic Structure

    Gainutdinov, I. I., Nemudry, A. P. & Zilberberg, I. L., 1 Feb 2019, In: Journal of Structural Chemistry. 60, 2, p. 171-178 8 p.

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

  5. Using deep learning to enhance event geometry reconstruction for the telescope array surface detector

    Ivanov, D., Kalashev, O. E., Kuznetsov, M. Y., Rubtsov, G., Sako, T., Tsunesada, Y. & Zhezher, Y., Mar 2021, In: Machine learning-Science and technology. 2, 1, p. 015006 11 p., 015006.

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

  6. Using data-compressors for statistical analysis of problems on homogeneity testing and classification

    Ryabko, B., Guskov, A. & Selivanova, I., 9 Aug 2017, 2017 IEEE International Symposium on Information Theory, ISIT 2017. Institute of Electrical and Electronics Engineers Inc., p. 121-125 5 p. 8006502. (IEEE International Symposium on Information Theory - Proceedings).

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

  7. Using data-compressors for classification hunting behavioral sequences in rodents as "ethological texts"

    Levenets, J., Novikovskaya, A., Panteleeva, S., Reznikova, Z. & Ryabko, B., 1 Apr 2020, In: Mathematics. 8, 4, 10 p., 579.

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

  8. Using data compression to build a method for statistically verified attribution of literary texts

    Ryabko, B. & Savina, N., Oct 2021, In: Entropy. 23, 10, 1302.

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

  9. Using data compression and randomisation to build an unconditionally secure short key cipher

    Ryabko, B., 2022, 2022 IEEE Information Theory Workshop, ITW 2022. Institute of Electrical and Electronics Engineers Inc., p. 238-242 5 p. (2022 IEEE Information Theory Workshop, ITW 2022).

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

  10. Using Current-Voltage Characteristics to Control the Structure of Contacts in Polyethylene Based Composites Modified by Multiwalled Carbon Nanotubes

    Moseenkov, S. I., Zavorin, A. V., Ishchenko, A. V., Serkova, A. N., Selyutin, A. G. & Kuznetsov, V. L., 1 Apr 2020, In: Journal of Structural Chemistry. 61, 4, p. 628-639 12 p.

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

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