1. 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 proceedingConference contributionResearchpeer-review

  2. Construction of an optimal collective decision in cluster analysis on the basis of an averaged co-association matrix and cluster validity indices

    Berikov, V. B., 1 Apr 2017, In: Pattern Recognition and Image Analysis. 27, 2, p. 153-165 13 p.

    Research output: Contribution to journalArticlepeer-review

  3. Enhancing Stability of the Weakly Supervised Regression Algorithm Using Manifold Regularization and Fuzzy Clustering

    Kalmutskiy, K. & Berikov, V., 6 Apr 2025, In: Pattern Recognition and Image Analysis. 35, 1, p. 16-18 3 p.

    Research output: Contribution to journalArticlepeer-review

  4. Ensemble clustering based on weighted co-association matrices: Error bound and convergence properties

    Berikov, V. & Pestunov, I., 1 Mar 2017, In: Pattern Recognition. 63, p. 427-436 10 p.

    Research output: Contribution to journalArticlepeer-review

  5. ERANNs: Efficient residual audio neural networks for audio pattern recognition

    Verbitskiy, S., Berikov, V. & Vyshegorodtsev, V., Sept 2022, In: Pattern Recognition Letters. 161, p. 38-44 7 p.

    Research output: Contribution to journalArticlepeer-review

  6. Group approach to solving the tasks of recognition

    Amirgaliyev, Y., Berikov, V., Cherikbayeva, L. S., Latuta, K. & Bekturgan, K., 1 Jan 2019, In: Yugoslav Journal of Operations Research. 29, 2, p. 177-192 16 p.

    Research output: Contribution to journalArticlepeer-review

  7. Identification of unknown parameters and prediction with hierarchical matrices

    Litvinenko, A., Kriemann, R. & Berikov, V., 2021, In: UNCECOMP Proceedings. 2021-June

    Research output: Contribution to journalConference articlepeer-review

  8. Model and Method for Constructing a Heterogeneous Cluster Ensemble

    Berikov, V. B., 2022, In: Automation and Remote Control. 83, 12, p. 1944-1958 15 p.

    Research output: Contribution to journalArticlepeer-review

  9. Modified U-net with Different Attention Mechanisms for Acute Ischemic Stroke Segmentation using Non-Contrast CT

    Pnev, S., Tulupov, A. & Berikov, V., 13 May 2021, Proceedings - 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021. Institute of Electrical and Electronics Engineers Inc., p. 133-136 4 p. 9454963. (Proceedings - 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  10. Multi-spectral image recognition using solution trees based on similarity

    Berikov, V. B., Pestunov, I. A., Kozinets, R. M. & Rylov, S. A., 12 Jan 2020, In: CEUR Workshop Proceedings. 2534, p. 260-266 7 p.

    Research output: Contribution to journalConference articlepeer-review

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