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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

  15. 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

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

  17. 2021

  18. 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 journal › Conference article › peer-review

  19. Modified U-net with Different Attention Mechanisms for Acute Ischemic Stroke Segmentation using Non-Contrast CT

    Pnev, S., Tulupov, A. & Berikov, V., 13 May 2021, Proceedings - 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021. Institute of Electrical and Electronics Engineers Inc., p. 133-136 4 p. 9454963. (Proceedings - 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021).

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

  20. 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 journal › Conference article › peer-review

  21. Identification of unknown parameters and prediction with hierarchical matrices

    Litvinenko, A., Kriemann, R. & Berikov, V., 2021, In: UNCECOMP Proceedings. 2021-June

    Research output: Contribution to journal › Conference article › peer-review

  22. 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

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

  24. 2020

  25. Comparative Analysis of Deep Neural Network and Texture-Based Classifiers for Recognition of Acute Stroke using Non-Contrast CT Images

    Nedel'ko, V., Kozinets, R., Tulupov, A. & Berikov, V., 1 May 2020, Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020. Institute of Electrical and Electronics Engineers Inc., p. 376-379 4 p. 9117784. (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

  26. 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

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