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  1. Environment-Agnostic IRM via Unsupervised Clustering and Adaptive Penalty Scaling

    Miron, B. & Bondarenko, I., 2026, Advances in Neural Computation, Machine Learning, and Cognitive Research IX. Kryzhanovsky, B., Dunin-Barkowski, W., Redko, V., Tiumentsev, Y. & Klimov, V. V. (eds.). Springer, p. 47-63 17 p. 5. (Studies in Computational Intelligence; vol. 1241 SCI).

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

  2. Entity Recognition and Relation Extraction from Scientific and Technical Texts in Russian

    Bruches, E., Pauls, A., Batura, T. & Isachenko, V., 14 Nov 2020, Proceedings - 2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020. Institute of Electrical and Electronics Engineers Inc., p. 41-45 5 p. 9303196. (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

  3. Entity Linking over Nested Named Entities for Russian

    Loukachevitch, N., Braslavski, P., Ivanov, V., Батура, Т. В., Manandhar, S., Shelmanov, A. & Tutubalina, E. V., 2022, Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022). European Language Resources Association, p. 4458-4466 9 p.

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

  4. Ensembling Transformer-Based Models for 3D Ischemic Stroke Segmentation in Non-Contrast CT

    Cherikbayeva, L., Berikov, V., Melis, Z., Yeleussinov, A., Baigozhanova, D., Tasbolatuly, N., Temirbekova, Z. & Mikhailapov, D., 4 Sept 2025, In: Applied Sciences (Switzerland). 15, 17, 20 p., 9725.

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

  5. Ensemble Method Based on Markov Models for Time Series Forecasting

    Belousova, E. E. & Rakitskiy, A., 2025, Proceedings - 2025 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2025. Institute of Electrical and Electronics Engineers Inc., p. 130-133 4 p.

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

  6. Enhancing the stability of physics-informed neural networks applied to convection problems

    Tsgoev, C. A., Bratenkov, M. A., Sakharov, D. I., Travnikov, V. A., Seredkin, A. V., Kalinin, V. A., Fomichev, D. V. & Mullyadzhanov, R. I., Mar 2025, In: Thermophysics and Aeromechanics. 32, 2, p. 449-463 15 p.

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

  7. Enhancing the Sensitivity of the Seismological Network in the Lena River Delta

    Ponasenko, S. N., Dergach, P. A. & Duchkov, A. A., 19 Aug 2025, In: Journal of Volcanology and Seismology. 19, 4, p. 390-396 7 p.

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

  8. Enhancement of Consistent Depth Estimation for Monocular Videos Approach

    Свейлам, М. Н. Х. & Толстокулаков, Н. Ю., 26 Jun 2021, Computer Science & Information Technology (CS & IT). p. 110-115 11 p.

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

  9. Effect of dielectric permittivity distribution in invaded zone on induction log data

    Yeltsov, I., Eltsov, T., Makarov, A. & Nikitenko, M., 1 Jan 2017, In: CEUR Workshop Proceedings. 1839, p. 508-523 16 p.

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

  10. Dynamic in situ imaging of methane hydrate formation in coal media

    Nikitin, V. V., Fokin, M. I., Dugarov, G. A., Drobchik, A. N., Andrade, V. D., Shevchenko, P. D., Manakov, A. Y. & Duchkov, A. A., 15 Aug 2021, In: Fuel. 298, 120699.

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

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