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  1. 2025

  2. 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 journal › Article › peer-review

  3. 2024

  4. A fast consistent grid-based clustering algorithm

    Tarasenko, A. S., Berikov, V. B., Pestunov, I. A., Rylov, S. A. & Ruzankin, P. S., Dec 2024, In: Pattern Analysis and Applications. 27, 4, 11 p., 139.

    Research output: Contribution to journal › Article › peer-review

  5. 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

  6. Building an Ensemble of Time Series Models Using Empirical Risk Space

    Litvinenko, D. & Berikov, V., 2024, RusAutoCon - Proceedings of the International Russian Automation Conference. Institute of Electrical and Electronics Engineers Inc., p. 751-756 6 p.

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

  7. 2023

  8. Nocturnal Glucose Patterns with and without Hypoglycemia in People with Type 1 Diabetes Managed with Multiple Daily Insulin Injections

    Kladov, D. E., Berikov, V. B., Semenova, J. F. & Klimontov, V. V., 29 Sept 2023, In: Journal of Personalized Medicine. 13, 10, 1454.

    Research output: Contribution to journal › Article › peer-review

  9. Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks

    Dobshik, A. V., Verbitskiy, S. K., Pestunov, I. A., Sherman, K. M., Sinyavskiy, Y. N., Tulupov, A. A. & Berikov, V. B., Sept 2023, In: Computer Optics. 47, 5, p. 770-777 8 p.

    Research output: Contribution to journal › Article › peer-review

  10. Multi-target Weakly Supervised Regression Using Manifold Regularization and Wasserstein Metric

    Kalmutskiy, K., Cherikbayeva, L., Litvinenko, A. & Berikov, V., 2023, Communications in Computer and Information Science. Springer, p. 364-375 12 p. (Communications in Computer and Information Science; vol. 1881 CCIS).

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

  11. 2022

  12. 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 journal › Article › peer-review

  13. 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 journal › Article › peer-review

  14. 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

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