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  1. On a Weakly Supervised Classification Problem

    Berikov, V., Litvinenko, A., Pestunov, I. & Sinyavskiy, Y., 2022, Analysis of Images, Social Networks and Texts - 10th International Conference, AIST 2021, Revised Selected Papers. Burnaev, E., Ivanov, S., Panchenko, A., Ignatov, D. I., Kuznetsov, S. O., Khachay, M., Koltsova, O., Kutuzov, A., Loukachevitch, N., Napoli, A., Pardalos, P. M., Saramäki, J., Savchenko, A. V., Tsymbalov, E. & Tutubalina, E. (eds.). Springer, p. 315-329 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13217 LNCS).

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

  2. On the Relationship between Regulatory and Exomic DNA Markers

    Postovalov, S., Berikov, V., Bryzgalov, L. & Korbolina, E., May 2020, Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020. Institute of Electrical and Electronics Engineers Inc., p. 97-100 4 p. 9117734. (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

  3. Recognition of Tomographic Images in the Diagnosis of Stroke

    Kalmutskiy, K., Tulupov, A. & Berikov, V., 2021, Pattern Recognition. ICPR International Workshops and Challenges, 2021, Proceedings. Del Bimbo, A., Cucchiara, R., Sclaroff, S., Farinella, G. M., Mei, T., Bertini, M., Escalante, H. J. & Vezzani, R. (eds.). Springer, p. 166-171 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12665 LNCS).

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

  4. Regression analysis with cluster ensemble and kernel function

    Berikov, V. & Vinogradova, T., 1 Jan 2018, Analysis of Images, Social Networks and Texts - 7th International Conference, AIST 2018, Revised Selected Papers. Panchenko, A., van der Aalst, W. M., Khachay, M., Pardalos, P. M., Batagelj, V., Loukachevitch, N., Glavaš, G., Ignatov, D. I., Kuznetsov, S. O., Koltsova, O., Lomazova, I. A., Savchenko, A. V., Napoli, A. & Pelillo, M. (eds.). Springer, p. 211-220 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11179 LNCS).

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

  5. 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 journal › Conference article › peer-review

  6. 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 proceeding › Conference contribution › Research › peer-review

  7. 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 proceeding › Conference contribution › Research › peer-review

  8. 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 proceeding › Conference contribution › Research › peer-review

  9. 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 proceeding › Conference contribution › Research › peer-review

  10. 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 journal › Conference article › peer-review

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