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  1. Regression analysis with cluster ensemble and kernel function

    Berikov, V. & Vinogradova, T., 1 Jan 2018, Analysis of Images, Social Networks and Texts - 7th International Conference, AIST 2018, Revised Selected Papers. Panchenko, A., van der Aalst, W. M., Khachay, M., Pardalos, P. M., Batagelj, V., Loukachevitch, N., Glavaš, G., Ignatov, D. I., Kuznetsov, S. O., Koltsova, O., Lomazova, I. A., Savchenko, A. V., Napoli, A. & Pelillo, M. (eds.). Springer, p. 211-220 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11179 LNCS).

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

  2. Refined weight of edges in normal plane maps

    Batueva, T. C. D., Borodin, O. V., Bykov, M. A., Ivanova, A. O., Kazak, O. N. & Nikiforov, D. V., 1 Nov 2017, In: Discrete Mathematics. 340, 11, p. 2659-2664 6 p.

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

  3. Reduction of the pareto set in bicriteria asymmetric traveling salesman problem

    Zakharov, A. O. & Kovalenko, Y. V., 1 Jan 2018, Optimization Problems and Their Applications - 7th International Conference, OPTA 2018, Revised Selected Papers. Khachay, M., Kochetov, Y., Eremeev, A., Pardalos, P. & Pardalos, P. (eds.). Springer, p. 93-105 13 p. (Communications in Computer and Information Science; vol. 871).

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

  4. Reducing the deterioration of sentiment analysis results due to the time impact

    Rubtsova, Y., 25 Jul 2018, In: Information (Switzerland). 9, 8, 12 p., 184.

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

  5. Reducing over-smoothness in speech synthesis using Generative Adversarial Networks

    Pavlovskiy, E. N. & Шэн, Л., 2018

    Research output: Other contribution › Research

  6. Reducing over-smoothness in speech synthesis using Generative Adversarial Networks

    Sheng, L. & Pavlovskiy, E. N., Oct 2019, SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 972-974 3 p. 8957862. (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings).

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

  7. Reducibility of Computable Metrics on the Real Line

    Kornev, R. A., 1 Sept 2017, In: Algebra and Logic. 56, 4, p. 302-317 16 p.

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

  8. 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 journal › Article › peer-review

  9. 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

  10. 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

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