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  1. Rectangular knot diagrams classification with deep learning

    Kauffman, L. H., Russkikh, N. E. & Taimanov, I. A., 1 Oct 2022, In: Journal of Knot Theory and its Ramifications. 31, 11, 2250067.

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

  2. Recovery of Motor and Cognitive Functions on Forced Waking from Stage 3 Daytime Sleep

    Soloveva, A. K., Solovev, N. K., Mokrousova, A. O. & Ukraintseva, Y. V., Mar 2024, In: Neuroscience and Behavioral Physiology. 54, 3, p. 448-457 10 p.

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

  3. Recovering density and speed of sound coefficients in the 2d hyperbolic system of acoustic equations of the first order by a finite number of observations

    Klyuchinskiy, D., Novikov, N. & Shishlenin, M., 2 Jan 2021, In: Mathematics. 9, 2, p. 1-13 13 p., 199.

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

  4. Reconstruction of Dementia Gene Network Using Online Bioinformatics Tools

    Kovalev, S. S., Dergilev, A. I., Orlov, Y. L., Fateev, O. D. & Kavai-Ool, U. N., Jul 2020, Proceedings - 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020. Institute of Electrical and Electronics Engineers Inc., p. 215-219 5 p. 9214618. (Proceedings - 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020).

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

  5. Recognition of Tomographic Images in the Diagnosis of Stroke

    Kalmutskiy, K., Tulupov, A. & Berikov, V., 2021, Pattern Recognition. ICPR International Workshops and Challenges, 2021, Proceedings. Del Bimbo, A., Cucchiara, R., Sclaroff, S., Farinella, G. M., Mei, T., Bertini, M., Escalante, H. J. & Vezzani, R. (eds.). Springer, p. 166-171 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12665 LNCS).

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

  6. Recognition of Rocks Lithology on the Images of Core Samples

    Panferov, V., Tailakov, D. & Donets, A., 14 Nov 2020, Proceedings - 2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020. Institute of Electrical and Electronics Engineers Inc., p. 54-57 4 p. 9303197. (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. Recognition of hyperspectral images with use of cluster ensemble and semisupervised learning

    Berikov, V. B., Pestunov, I. A., Karaev, N. M. & Tewari, A., 2017, In: CEUR Workshop Proceedings. 2033, p. 60-64 5 p.

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

  8. Rational choice of modelling assumptions for simulation of blood vessel end-to-side anastomosis

    Tagiltsev, I. I., Parshin, D. V. & Shutov, A. V., 2022, In: Mathematical Modelling of Natural Phenomena. 17, 20.

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

  9. RatDEGdb: a knowledge base of differentially expressed genes in the rat as a model object in biomedical research

    Chadaeva, I. V., Filonov, S. V., Zolotareva, K. A., Khandaev, B. M., Ershov, N. I., Podkolodnyy, N. L., Kozhemyakina, R. V., Rasskazov, D. A., Bogomolov, A. G., Kondratyuk, E. Y., Klimova, N. V., Shikhevich, S. G., Ryazanova, M. A., Fedoseeva, L. A., Redina, О. Е., Kozhevnikova, O. S., Stefanova, N. A., Kolosova, N. G., Markel, A. L., Ponomarenko, M. P., & 1 othersOshchepkov, D. Y., Dec 2023, In: Vavilovskii Zhurnal Genetiki i Selektsii. 27, 7, p. 794-806 13 p.

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

  10. Random walk algorithms for solving nonlinear chemotaxis problems

    Sabelfeld, K. K. & Bukhasheev, O., 1 Sept 2024, In: Monte Carlo Methods and Applications. 30, 3, p. 235-248 14 p.

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

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