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  1. 2024

  2. 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

  3. 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

  4. 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

  5. 2023

  6. 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

  7. 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

  8. 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

  9. 2022

  10. 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

  11. 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

  12. 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

  13. 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

  14. 2021

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  21. 2020

  22. 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

  23. 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

  24. Multi-spectral image recognition using solution trees based on similarity

    Berikov, V. B., Pestunov, I. A., Kozinets, R. M. & Rylov, S. A., 12 Jan 2020, In: CEUR Workshop Proceedings. 2534, p. 260-266 7 p.

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

  25. 2019

  26. 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

  27. Cluster Ensemble Kernel for Kernel-based Classification

    Odinokikh, N. & Berikov, V., Oct 2019, SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 670-674 5 p. 8958184. (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings).

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

  28. Collective Distances for Clustering N-Valued Logic Formulas Representing Knowledge Base of Intellectual System

    Vikent'Ev, A., Serov, M., Vikentiev, R. & Berikov, V., Oct 2019, SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 664-669 6 p. 8958153. (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings).

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

  29. Classification at incomplete training information: Usage of group clustering to improve performance

    Berikov, V., Amirgaliyev, Y., Cherikbayeva, L., Yedilkhan, D. & Tulegenova, B., 1 Jan 2019, In: Journal of Theoretical and Applied Information Technology. 97, 19, p. 5048-5060 13 p.

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

  30. Group approach to solving the tasks of recognition

    Amirgaliyev, Y., Berikov, V., Cherikbayeva, L. S., Latuta, K. & Bekturgan, K., 1 Jan 2019, In: Yugoslav Journal of Operations Research. 29, 2, p. 177-192 16 p.

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

  31. 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

  32. 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

  33. 2018

  34. A Probabilistic Model of Fuzzy Clustering Ensemble

    Berikov, V. B., 1 Jan 2018, In: Pattern Recognition and Image Analysis. 28, 1, p. 1-10 10 p.

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

  35. 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

  36. 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

  37. 2017

  38. Cluster ensemble construction with the algorithm of averaged centroids

    Tatarnikov, V., Berikov Sobolev, V. & Pestunov, I., 14 Nov 2017, Proceedings - 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017. Institute of Electrical and Electronics Engineers Inc., p. 342-345 4 p. 8109902

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

  39. 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

  40. Centroid averaging algorithm for a clustering ensemble

    Tatarnikov, V. V., Pestunov, I. A. & Berikov, V. B., 1 Sept 2017, In: Computer Optics. 41, 5, p. 712-718 7 p.

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

  41. Construction of an optimal collective decision in cluster analysis on the basis of an averaged co-association matrix and cluster validity indices

    Berikov, V. B., 1 Apr 2017, In: Pattern Recognition and Image Analysis. 27, 2, p. 153-165 13 p.

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

  42. Ensemble clustering based on weighted co-association matrices: Error bound and convergence properties

    Berikov, V. & Pestunov, I., 1 Mar 2017, In: Pattern Recognition. 63, p. 427-436 10 p.

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

ID: 3438243