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  1. Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks

    Dobshik, A. V., Verbitskiy, S. K., Pestunov, I. A., Sherman, K. M., Sinyavskiy, Y. N., Tulupov, A. A. & Berikov, V. B., Sept 2023, In: Computer Optics. 47, 5, p. 770-777 8 p.

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

  2. A fast consistent grid-based clustering algorithm

    Tarasenko, A. S., Berikov, V. B., Pestunov, I. A., Rylov, S. A. & Ruzankin, P. S., Dec 2024, In: Pattern Analysis and Applications. 27, 4, 11 p., 139.

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

  3. A Probabilistic Model of Fuzzy Clustering Ensemble

    Berikov, V. B., 1 Jan 2018, In: Pattern Recognition and Image Analysis. 28, 1, p. 1-10 10 p.

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

  4. Building an Ensemble of Time Series Models Using Empirical Risk Space

    Litvinenko, D. & Berikov, V., 2024, RusAutoCon - Proceedings of the International Russian Automation Conference. Institute of Electrical and Electronics Engineers Inc., p. 751-756 6 p.

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

  5. Centroid averaging algorithm for a clustering ensemble

    Tatarnikov, V. V., Pestunov, I. A. & Berikov, V. B., 1 Sept 2017, In: Computer Optics. 41, 5, p. 712-718 7 p.

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

  6. Classification at incomplete training information: Usage of group clustering to improve performance

    Berikov, V., Amirgaliyev, Y., Cherikbayeva, L., Yedilkhan, D. & Tulegenova, B., 1 Jan 2019, In: Journal of Theoretical and Applied Information Technology. 97, 19, p. 5048-5060 13 p.

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

  7. Cluster ensemble construction with the algorithm of averaged centroids

    Tatarnikov, V., Berikov Sobolev, V. & Pestunov, I., 14 Nov 2017, Proceedings - 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017. Institute of Electrical and Electronics Engineers Inc., p. 342-345 4 p. 8109902

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

  8. Cluster Ensemble Kernel for Kernel-based Classification

    Odinokikh, N. & Berikov, V., Oct 2019, SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 670-674 5 p. 8958184. (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

  9. Collective Distances for Clustering N-Valued Logic Formulas Representing Knowledge Base of Intellectual System

    Vikent'Ev, A., Serov, M., Vikentiev, R. & Berikov, V., Oct 2019, SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 664-669 6 p. 8958153. (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

  10. Comparative Analysis of Deep Neural Network and Texture-Based Classifiers for Recognition of Acute Stroke using Non-Contrast CT Images

    Nedel'ko, V., Kozinets, R., Tulupov, A. & Berikov, V., 1 May 2020, Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020. Institute of Electrical and Electronics Engineers Inc., p. 376-379 4 p. 9117784. (Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020).

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

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