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  1. 2025

  2. Clustering-Based Graph Neural Network in a Weakly Supervised Regression Problem

    Kalmutskiy, K. & Berikov, V., 6 Jul 2025, Lecture Notes in Computer Science. Springer, p. 335-347 13 p. (Lecture Notes in Computer Science; vol. 15681 LNCS).

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

  3. 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

  4. 2024

  5. 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

  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. 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

  8. 2023

  9. 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

  10. 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

  11. 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

  12. 2022

  13. 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

  14. 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

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