1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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 proceedingConference contributionResearchpeer-review

  7. 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 proceedingConference contributionResearchpeer-review

  8. 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 proceedingConference contributionResearchpeer-review

  9. 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 journalArticlepeer-review

  10. 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 journalArticlepeer-review

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