1. Weakly supervised semantic segmentation of tomographic images in the diagnosis of stroke

    Dobshik, A. V., Tulupov, A. A. & Berikov, V. B., 13 Dec 2021, In: Journal of Physics: Conference Series. 2099, 1, 012021.

    Research output: Contribution to journalConference articlepeer-review

  2. Weakly Supervised Regression Using Manifold Regularization and Low-Rank Matrix Representation

    Berikov, V. & Litvinenko, A., 2021, Mathematical Optimization Theory and Operations Research - 20th International Conference, MOTOR 2021, Proceedings. Pardalos, P., Khachay, M. & Kazakov, A. (eds.). Springer, p. 447-461 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12755 LNCS).

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

  3. Visual Word based Neural Tree for Interpretable Recognition of Images

    Kozinets, R. & Berikov, V., 2022, 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON). Institute of Electrical and Electronics Engineers Inc., p. 1830-1835 6 p.

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

  4. Some properties of the classification algorithms using ensemble kernels

    Odinokikh, N. & Berikov, V., 4 Jan 2021, In: Journal of Physics: Conference Series. 1715, 1, 012011.

    Research output: Contribution to journalConference articlepeer-review

  5. Similarity-based decision tree induction method and its application to cancer recognition on tomographic images

    Berikov, V. B., Pestunov, I. A., Kozinets, R. M. & Rylov, S. A., 27 Nov 2019, In: Journal of Physics: Conference Series. 1368, 5, 052035.

    Research output: Contribution to journalConference articlepeer-review

  6. Semi-supervised regression using cluster ensemble and low-rank co-association matrix decomposition under uncertainties

    Berikov, V. & Litvinenko, A., 2019, Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP 2019. Papadrakakis, M., Papadopoulos, V. & Stefanou, G. (eds.). National Technical University of Athens, p. 229-242 14 p. (Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP 2019).

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

  7. Semi-supervised classification with cluster ensemble

    Berikov, V., Karaev, N. & Tewari, A., 14 Nov 2017, Proceedings - 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017. Institute of Electrical and Electronics Engineers Inc., p. 245-250 6 p. 8109880

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

  8. Semi-supervised classification using multiple clustering and low-rank matrix operations

    Berikov, V., 1 Jan 2019, Mathematical Optimization Theory and Operations Research - 18th International Conference, MOTOR 2019, Proceedings. Khachay, M., Pardalos, P. & Kochetov, Y. (eds.). Springer, p. 529-540 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11548 LNCS).

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

  9. Segmentation of 3D Non-Contrast CT Brain Images Using Transformer Neural Networks

    Kirillov, K., Mikhailapov, D., Tulupov, A. & Berikov, V., 26 Nov 2024, 2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2024. Institute of Electrical and Electronics Engineers Inc., p. 173-177 5 p. (2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2024).

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

  10. Searching for optimal classifier using a combination of cluster ensemble and kernel method

    Berikov, V. B. & Cherikbayeva, L. S., 1 Jan 2018, In: CEUR Workshop Proceedings. 2098, p. 45-60 16 p.

    Research output: Contribution to journalConference articlepeer-review

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