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  1. 2026

  2. 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

  3. Machine Learning-Based Preconditioner to Solve Poisson Equation

    Chekmeneva, E., Khachova, T. & Lisitsa, V., 2026, Lecture Notes in Computer Science. Springer, p. 376-387 12 p. 25. (Lecture Notes in Computer Science; vol. 15888 LNCS).

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

  4. Parallel Implementation of HTC Model for Wave Propagation in Multiphase Poroelastic Media

    Reshetova, G., Shiyapov, K., Zakharov, V. & Cheverda, V., 2026, Parallel Computing Technologies. Malyshkin, V. (ed.). Springer, p. 247-259 13 p. 17. (Lecture Notes in Computer Science; vol. 16185).

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

  5. Signal Processing by a Reservoir Network on Memristors

    Tarkov, M. S. & Jing, M., 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. 3-12 10 p. 1. (Studies in Computational Intelligence; vol. 1241 SCI).

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

  6. Technological Means for Automatic Programs Construction in LuNA System

    Malyshkin, V., Perepelkin, V., Parfenov, D., Sinyukov, V., Spirin, V., Ivanchenko, D. & Nushtaev, Y., 2026, Parallel Computing Technologies. Malyshkin, V. (ed.). Springer, p. 105-123 19 p. 8. (Lecture Notes in Computer Science; vol. 16185).

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

  7. Total restrained coalitions in graphs

    Chellali, M., Golmohammadi, H., Matrokhin, N. A., Takhonov, I. I. & Valenzuela-Tripodoro, J. C., 2026, In: Computational and Applied Mathematics. 45, 2, 14 p., 50.

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

  8. Unsupervised Learning for Detection of Cognitive Distortions in Patient Narratives

    Bobo, S. & Kolonin, A., 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. 545-562 18 p. 43. (Studies in Computational Intelligence; vol. 1241 SCI).

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

  9. Интегро-дифференциальные уравнения высокого порядка с вырождением

    Баротов, Б. Х. & Кожанов, А. И., 2026, p. 69-70. 2 p.

    Research output: Contribution to conference › Abstract › peer-review

  10. Современные возможности бесконтрастной МР-перфузии: от научных исследований до клинической практики

    Popov, V. V., Stankevich, Y. A., Bogomyakova, O. B. & Tulupov, A. A., 2026, In: Sibirskij Nauchnyj Medicinskij Zhurnal. 45, 1, p. 5-20 16 p.

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

  11. 2025

  12. Нелокальные задачи для обобщенного уравнения Буссинеска-Лява

    Kozhanov, A. I. & Wang, M., 29 Dec 2025, In: Siberian Electronic Mathematical Reports. 22, 2, p. 1473-1487 15 p.

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

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