1. Recurrent generalization of f-polynomials for virtual knots and links

    Gill, A., Ivanov, M., Prabhakar, M. & Vesnin, A., Jan 2022, In: Symmetry. 14, 1, 15.

    Research output: Contribution to journalArticlepeer-review

  2. 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 journalArticlepeer-review

  3. 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 journalArticlepeer-review

  4. 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 journalArticlepeer-review

  5. 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 proceedingConference contributionResearchpeer-review

  6. 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 proceedingConference contributionResearchpeer-review

  7. 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 proceedingConference contributionResearchpeer-review

  8. 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 journalArticlepeer-review

  9. Rational Integrals of Natural Systems in a Magnetic Field

    Agapov, S. V. & Solov’ev, D. V., 2 Jun 2025, In: Siberian Mathematical Journal. 66, 3, p. 609-617 9 p.

    Research output: Contribution to journalArticlepeer-review

  10. 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 journalArticlepeer-review

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