101 - 110 out of 250Page size: 10
Sort by: Title

  1. Methods to identify the destructive information

    Barakhnin, V. B., Mukhamedyev, R. I., Mussabaev, R. R., Yu Kozhemyakina, O., Issayeva, A., Kuchin, Y. I., Murzakhmetov, S. B. & Yakunin, K. O., 4 Dec 2019, In: Journal of Physics: Conference Series. 1405, 1, 012004.

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

  2. Model-driven methods to design of reliable multiagent cyber-physical systems

    Staroletov, S., Shilov, N., Zyubin, V., Liakh, T., Rozov, A., Konyukhov, I., Shilov, I., Baar, T. & Schulte, H., 1 Jan 2019, In: CEUR Workshop Proceedings. 2478, p. 74-91 18 p.

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

  3. Modelling of process information dissemination and its impact dynamics to mass consciousness

    Fedotov, A., Barakнnin, V., Murzakhmetov, A. & Milyuk, I., 15 Dec 2020, In: Journal of Theoretical and Applied Information Technology. 98, 23, p. 3691-3702 12 p.

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

  4. Multi-Class Brain Tumor Segmentation via 3d and 2d Neural Networks

    Pnev, S., Groza, V., Tuchinov, B., Amelina, E., Pavlovskiy, E., Tolstokulakov, N., Amelin, M., Golushko, S. & Letyagin, A., 2022, ISBI 2022 - Proceedings: 2022 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, 5 p. (Proceedings - International Symposium on Biomedical Imaging; vol. 2022-March).

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

  5. Multi-class Brain Tumor Segmentation via Multi-sequences MRI Mixture Data Preprocessing

    Letyagin, A., Golushko, S., Amelin, M., Tuchinov, B., Amelina, E., Tolstokulakov, N., Pavlovskiy, E. & Groza, V., Jul 2020, Proceedings - 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020: International symposium will take place in the frame of 12th International Multiconference “Bioinformatics of Genome Regulation and Structure/Systems Biology”. Institute of Electrical and Electronics Engineers Inc., p. 185-189 5 p. 9214645. (Proceedings - 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020).

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

  6. Named Entity Extraction from Semi-structured Data Using Machine Learning Algorithms

    Mansurova, M., Barakhnin, V., Khibatkhanuly, Y. & Pastushkov, I., 1 Jan 2019, Computational Collective Intelligence - 11th International Conference, ICCCI 2019, Proceedings. Nguyen, N. T., Chbeir, R., Exposito, E., Aniorté, P., Trawinski, B. & Nguyen, N. T. (eds.). Springer-Verlag GmbH and Co. KG, p. 58-69 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11684 LNAI).

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

  7. Named Entity Extraction Model Based on the Random Walk Method

    Mansurova, M., Barakhnin, V., Kyrgyzbayeva, M. & Kadyrbek, N., 28 Apr 2021, SIST 2021 - 2021 IEEE International Conference on Smart Information Systems and Technologies. Institute of Electrical and Electronics Engineers Inc., 9465992. (SIST 2021 - 2021 IEEE International Conference on Smart Information Systems and Technologies).

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

  8. Network Interface Module Development on Heterogeneous Computing System

    Botvinko, V. V. & Khazankin, G. R., 2022, 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON). Institute of Electrical and Electronics Engineers (IEEE), p. 124-126 3 p.

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

  9. On constructing functional dependencies from non-enclosing interval data

    Shary, S. P. & Zvyagin, M. A., 2024, In: Journal of Computational Technologies. 29, 4, p. 71-94 24 p.

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

  10. On Decidability of List Structures

    Aleksandrova, S. A. & Bazhenov, N. A., 1 May 2019, In: Siberian Mathematical Journal. 60, 3, p. 377-388 12 p.

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

Previous 1...7 8 9 10 11 12 13 14 ...25 Next

ID: 3084753