1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

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