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  1. 2021

  2. Comparative analysis of the numerical methods for 3D continuation problem for parabolic equation with data on the part of the boundary

    Prikhodko, A. & Shishlenin, M., 20 Dec 2021, In: Journal of Physics: Conference Series. 2092, 1, 012010.

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

  3. Comparative Study of Acoustic Parameter Reconstruction by using Optimal Control Method and Inverse Scattering Approach

    Shishlenin, M. A., Izzatulah, M. & Novikov, N. S., 20 Dec 2021, In: Journal of Physics: Conference Series. 2092, 1, 012004.

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

  4. Gelfand-Levitan-Krein method in one-dimensional elasticity inverse problem

    Kabanikhin, S. I., Novikov, N. S. & Shishlenin, M. A., 20 Dec 2021, In: Journal of Physics: Conference Series. 2092, 1, 012022.

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

  5. Practical identifiability of mathematical models of biomedical processes

    Kabanikhin, S., Bektemesov, M., Krivorotko, O. & Bektemessov, Z., 20 Dec 2021, In: Journal of Physics: Conference Series. 2092, 1, 012014.

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

  6. Quantity of the inverse problem data for the system of conservation laws

    Klyuchinskiy, D. V., Novikov, N. S. & Shishlenin, M. A., 20 Dec 2021, In: Journal of Physics: Conference Series. 2092, 1, 012020.

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

  7. Sensitivity analysis and practical identifiability of the mathematical model for partial differential equations

    Krivorotko, O. & Andornaya, D., 20 Dec 2021, In: Journal of Physics: Conference Series. 2092, 1, 012012.

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

  8. 2022

  9. Applying Variational Circuits in Deep Learning Architectures for Improving Discriminative Power of Speaker Embeddings

    Blankson, R. & Pavlovskiy, E., 2022, Proceedings of International Conference on Data Science and Applications, ICDSA 2021. Saraswat, M., Roy, S., Chowdhury, C. & Gandomi, A. H. (eds.). Springer Nature Singapore ed. Singapore: Springer, Vol. 287. p. 483-492 10 p. (Lecture Notes in Networks and Systems; vol. 287).

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

  10. Automated Classification of Potentially Insulting Speech Acts on Social Network Sites

    Komalova, L., Glazkova, A., Morozov, D., Epifanov, R., Motovskikh, L. & Mayorova, E., 2022, Digital Transformation and Global Society - 6th International Conference, DTGS 2021, Revised Selected Papers. Alexandrov, D. A., Chugunov, A. V., Kabanov, Y., Koltsova, O., Musabirov, I., Pashakhin, S., Boukhanovsky, A. V. & Chugunov, A. V. (eds.). Springer, p. 365-374 10 p. (Communications in Computer and Information Science; vol. 1503 CCIS).

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

  11. Brain Tumor Segmentation with Self-supervised Enhance Region Post-processing

    Pnev, S., Groza, V., Tuchinov, B., Amelina, E., Pavlovskiy, E., Tolstokulakov, N., Amelin, M., Golushko, S. & Letyagin, A., 2022, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 7th International Workshop, BrainLes 2021, Held in Conjunction with MICCAI 2021, Revised Selected Papers. Crimi, A. & Bakas, S. (eds.). Springer, p. 267-275 9 p. 24. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12963 LNCS).

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

  12. Cascaded Training Pipeline for 3D Brain Tumor Segmentation

    Luu, M. S. K. & Pavlovskiy, E., 2022, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 7th International Workshop, BrainLes 2021, Held in Conjunction with MICCAI 2021, Revised Selected Papers. Crimi, A. & Bakas, S. (eds.). Springer, p. 410-420 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12962 LNCS).

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

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