Science activity

Articles (45) More info

1	Kalmutskiy K. , Berikov V. Enhancing Stability of the Weakly Supervised Regression Algorithm Using Manifold Regularization and Fuzzy Clustering Pattern Recognition and Image Analysis. 2025. V.35. N1. P.16-18. DOI: 10.1134/S1054661824701414 WOS Scopus РИНЦ OpenAlex
2	Tarasenko A.S. , Berikov V.B. , Pestunov I.A. , Rylov S.A. , Ruzankin P.S. A fast consistent grid-based clustering algorithm Pattern Analysis and Applications. 2024. V.27. N4. P.1-11. DOI: 10.1007/s10044-024-01354-0 WOS Scopus РИНЦ OpenAlex
3	Berikov V. Ensemble Clustering with Heterogeneous Transfer Learning In compilation Analysis of Images, Social Networks and Texts : 11th International Conference, AIST 2023, Yerevan, Armenia, September 28–30, 2023, Revised Selected Papers. – Springer., 2024. – C.255-266. – ISBN 978-3-031-54534-4. DOI: 10.1007/978-3-031-54534-4_18 Scopus OpenAlex
4	Kozinetz R.M. , Berikov V.B. , Semenova J.F. , Klimontov V.V. Machine Learning and Deep Learning Models for Nocturnal High- and Low-Glucose Prediction in Adults with Type 1 Diabetes Diagnostics. 2024. V.14. N7. 740 :1-12. DOI: 10.3390/diagnostics14070740 WOS Scopus РИНЦ OpenAlex
5	Mikhailapov D. , Tulupov A. , Berikov V. Mask Correction in 3-D Tomography Brain Images for Weakly Supervised Segmentation of Acute Ischemic Stroke In compilation 2024 International Russian Smart Industry Conference (SmartIndustryCon), Sochi, Russian Federation, 2024. – IEEE., 2024. – C.796-801. – ISBN 979-8-3503-9504-4. DOI: 10.1109/smartindustrycon61328.2024.10515449 Scopus OpenAlex
6	Litvinenko D. , Berikov V. Building an Ensemble of Time Series Models Using Empirical Risk Space In compilation Proceedings 2024 International Russian Automation Conference (RusAutoCon) Sochi, Russia September 8-14, 2024. – IEEE., 2024. – C.751-756. – ISBN 979-8-3503-4981-8. DOI: 10.1109/rusautocon61949.2024.10694116 Scopus OpenAlex
7	Kladov D.E. , Berikov V.B. , Semenova J.F. , Klimontov V.V. Machine Learning Algorithms Based on Time Series Pre-Clustering for Nocturnal Glucose Prediction in People with Type 1 Diabetes Diagnostics. 2024. V.14. N21. 2427 :1-11. DOI: 10.3390/diagnostics14212427 WOS Scopus РИНЦ OpenAlex
8	Kirillov K. , Mikhailapov D. , Tulupov A. , Berikov V. Segmentation of 3D Non-Contrast CT Brain Images Using Transformer Neural Networks In compilation Proceedings 2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON), Novosibirsk, Russian Federation, 2024. – IEEE., 2024. – C.173-177. – ISBN 979-8-3315-3202-4. DOI: 10.1109/SIBIRCON63777.2024.10758478 Scopus OpenAlex
9	Kozinets R. , Berikov V. Visual Word based Neural Tree for Interpretable Recognition of Images In compilation 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON). – IEEE., 2023. – C.1830-1835. – ISBN 9781665464802. DOI: 10.1109/sibircon56155.2022.10017004 Scopus OpenAlex
10	Kalmutskiy K. , Cherikbayeva L. , Litvinenko A. , Berikov V. Multi-target Weakly Supervised Regression Using Manifold Regularization and Wasserstein Metric In compilation Mathematical Optimization Theory and Operations Research: Recent Trends. – Springer., 2023. – Т.1881. – C.364-375. DOI: 10.1007/978-3-031-43257-6_27 Scopus OpenAlex
11	Kladov D.E. , Berikov V. , Semenova J.F. , Klimontov V.V. Nocturnal Glucose Patterns with and without Hypoglycemia in People with Type 1 Diabetes Managed with Multiple Daily Insulin Injections Journal of Personalized Medicine. 2023. V.13. N10. 1454 :1-14. DOI: 10.3390/jpm13101454 WOS Scopus РИНЦ OpenAlex
12	Dobshik A.V. , Verbitskiy S.K. , Pestunov I.A. , Sherman K.M. , Sinyavskiy Y.N. , Tulupov A.A. , Berikov V.B. Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks Компьютерная оптика (Computer Optics). 2023. V.47. N5. P.770-777. DOI: 10.18287/2412-6179-CO-1233 WOS Scopus РИНЦ OpenAlex
13	Kladov D.E. , Semenova J.F. , Berikov V.B. , Klimontov V.V. Cluster Analysis of Glucose Fluctuations in the Pre-Morning and Early Morning Hours in Patients with Type 1 Diabetes In compilation Труды 2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB). – IEEE., 2023. – C.41 - 44. DOI: 10.1109/csgb60362.2023.10329848 Scopus РИНЦ OpenAlex
14	Verbitskiy S. , Berikov V. , Vyshegorodtsev V. ERANNs: Efficient residual audio neural networks for audio pattern recognition Pattern Recognition Letters. 2022. V.161. P.38-44. DOI: 10.1016/j.patrec.2022.07.012 WOS Scopus РИНЦ OpenAlex
15	Berikov V.B. , Kutnenko O.A. , Semenova J.F. , Klimontov V.V. Machine Learning Models for Nocturnal Hypoglycemia Prediction in Hospitalized Patients with Type 1 Diabetes Journal of Personalized Medicine. 2022. V.12. N8. P.1262. DOI: 10.3390/jpm12081262 WOS Scopus РИНЦ OpenAlex
16	Mikhailapov D. , Tulupov A. , Alyamkin S. , Berikov V. Compression of Deep Neural Network for Acute Ischemic Stroke Segmentation In compilation 2022 Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB), 7-8 July, Novosibirsk, Russia. 2022. – C.240-245. DOI: 10.1109/CSGB56354.2022.9865656 Scopus OpenAlex
17	Berikov V.B. , Vikent'ev A.A. Classification with Incomplete Probabilistic Labeling Based on Manifold Regularization and Fuzzy Clustering Ensemble Pattern Recognition and Image Analysis. 2022. V.32. N3. P.515-518. DOI: 10.1134/S1054661822030075 WOS Scopus РИНЦ OpenAlex
18	Berikov V. , Litvinenko A. , Pestunov I. , Sinyavskiy Y. On a weakly supervised classification problem Lecture Notes in Computer Science. 2022. V.13217. P.315–329. DOI: 10.1007/978-3-031-16500-9_26 Scopus OpenAlex
19	Berikov V.B. Model and method for constructing a heterogeneous cluster ensemble Automation and Remote Control. 2022. V.83. N12. P.1944-1958. DOI: 10.1134/S00051179220120086 WOS Scopus РИНЦ OpenAlex
20	Odinokikh N. , Berikov V. Some properties of the classification algorithms using ensemble kernels Journal of Physics: Conference Series. 2021. V.1715. N1. 012011 . DOI: 10.1088/1742-6596/1715/1/012011 Scopus OpenAlex
21	Dobshik A.V. , Tulupov A.A. , Berikov V.B. Weakly supervised semantic segmentation of tomographic images in the diagnosis of stroke Journal of Physics: Conference Series. 2021. V.2099. N1. 012021 . DOI: 10.1088/1742-6596/2099/1/012021 Scopus OpenAlex
22	Kalmutskiy K. , Tulupov A. , Berikov V. Recognition of Tomographic Images in the Diagnosis of Stroke Lecture Notes in Computer Science. 2021. P.166-171. DOI: 10.1007/978-3-030-68821-9_16 Scopus OpenAlex
23	Berikov V. , Litvinenko A. Weakly Supervised Regression Using Manifold Regularization and Low-Rank Matrix Representation Lecture Notes in Computer Science. 2021. P.447-461. DOI: 10.1007/978-3-030-77876-7_30 Scopus OpenAlex
24	Pnev S. , Tulupov A. , Berikov V. Modified U-net with Different Attention Mechanisms for Acute Ischemic Stroke Segmentation using Non-Contrast CT In compilation Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology. – IEEE., 2021. DOI: 10.1109/usbereit51232.2021.9454963 Scopus OpenAlex
25	Litvinenko A. , Kriemann R. , Berikov V. IDENTIFICATION OF UNKNOWN PARAMETERS AND PREDICTION WITH HIERARCHICAL MATRICES UNCECOMP Proceedings. 2021. P.129-144. DOI: 10.7712/120221.8027.19161 Scopus OpenAlex
26	Nedel'ko V. , Kozinets R. , Tulupov A. , Berikov V. Comparative Analysis of Deep Neural Network and Texture-Based Classifiers for Recognition of Acute Stroke using Non-Contrast CT Images In compilation Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology. – IEEE., 2020. – C.376-379. DOI: 10.1109/USBEREIT48449.2020.9117784 Scopus OpenAlex
27	Berikov V. Autoencoder-based Low-Rank Spectral Ensemble Clustering of Biological Data In compilation Proceedings - 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020. – IEEE., 2020. – C.43-46. DOI: 10.1109/CSGB51356.2020.9214622 Scopus OpenAlex
28	Korbolina E. , Bryzgalov L. , Postovalov S. , Nedelko V. , Berikov V. , Merkulova T. Accessing the impact of functional variants on human phenotypes by transcriptome analysis in individuals carrying different rSNP alleles In compilation Proceedings - 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020. – IEEE., 2020. – C.10-13. DOI: 10.1109/CSGB51356.2020.9214706 Scopus OpenAlex
29	Odinokikh N. , Berikov V. Cluster Ensemble Kernel for Kernel-based Classification In compilation SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. 2020. – ISBN 978-172814401-6. DOI: 10.1109/sibircon48586.2019.8958184 Scopus OpenAlex
30	Postovalov S. , Berikov V. , Bryzgalov L. , Korbolina E. On the Relationship between Regulatory and Exomic DNA Markers In compilation Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology. – IEEE., 2020. DOI: 10.1109/usbereit48449.2020.9117734 Scopus OpenAlex
31	Berikov V. Semi-supervised classification using multiple clustering and low-rank matrix operations Lecture Notes in Computer Science. 2019. V.11548 LNCS. P.529-540. DOI: 10.1007/978-3-030-22629-9_37 Scopus OpenAlex
32	Amirgaliyev Y. , Berikov V. , Cherikbayeva L.S. , Latuta K. , Bekturgan K. Group approach to solving the tasks of recognition Yugoslav Journal of Operations Research. 2019. V.29. N2. P.177-192. DOI: 10.2298/YJOR180822032Y Scopus OpenAlex
33	Vikent'ev A. , Serov M. , Vikentiev R. , Berikov V. Collective Distances for Clustering N-Valued Logic Formulas Representing Knowledge Base of Intellectual System In compilation SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. 2019. – C.0664-0669. – ISBN 978-172814401-6. DOI: 10.1109/SIBIRCON48586.2019.8958153 Scopus OpenAlex
34	Berikov V. , Amirgaliyev Y. , Cherikbayeva L. , Yedilkhan D. , Tulegenova B. Classification at Incomplete Training Information: Usage of Group Clustering to Improve Performance Journal of Theoretical and Applied Information Technology. 2019. V.97. N19. P.5048-5060. Scopus
35	Berikov V.B. , Pestunov I.A. , Kozinets R.M. , Rylov S.A. Similarity-based decision tree induction method and its application to cancer recognition on tomographic images Journal of Physics: Conference Series. 2019. V.1368. N5. P.052035. DOI: 10.1088/1742-6596/1368/5/052035 Scopus OpenAlex
36	Berikov V. , Litvinenko A. SEMI-SUPERVISED REGRESSION USING CLUSTER ENSEMBLE AND LOW-RANK CO-ASSOCIATION MATRIX DECOMPOSITION UNDER UNCERTAINTIES In compilation 14th World Congress of Computational Mechanics and ECCOMAS Congress, WCCM-ECCOMAS 2020. 2019. – C.229-242. DOI: 10.7712/120219.6338.18377 Scopus OpenAlex
37	Berikov V.B. A Probabilistic Model of Fuzzy Clustering Ensemble Pattern Recognition and Image Analysis. 2018. V.28. N1. P.1-10. DOI: 10.1134/S1054661818010029 Scopus OpenAlex
38	Berikov V. , Vinogradova T. Regression analysis with cluster ensemble and kernel function Lecture Notes in Computer Science. 2018. V.11179 LNCS. P.211-220. DOI: 10.1007/978-3-030-11027-7_21 Scopus OpenAlex
39	Tatarnikov V.V. , Pestunov I.A. , Berikov V.B. Centroid averaging algorithm for a clustering ensemble Компьютерная оптика (Computer Optics). 2017. V.41. N5. P.712-718. DOI: 10.18287/2412-6179-2017-41-5-712-718 WOS Scopus OpenAlex
40	Berikov V.B. Construction of an optimal collective decision in cluster analysis on the basis of an averaged co-association matrix and cluster validity indices Pattern Recognition and Image Analysis. 2017. V.27. N2. P.153-165. DOI: 10.1134/S1054661816040040 Scopus OpenAlex
41	Berikov V. , Pestunov I. Ensemble clustering based on weighted co-association matrices: Error bound and convergence properties Pattern Recognition. 2017. V.63. P.427-436. DOI: 10.1016/j.patcog.2016.10.017 WOS Scopus OpenAlex
42	Tatarnikov V. , Berikov V. , Pestunov I. Cluster ensemble construction with the algorithm of averaged centroids In compilation 2017 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON). 2017. – C.60-64. DOI: 10.1109/sibircon.2017.8109902 Scopus OpenAlex
43	Berikov V. , Karaev N. , Tewari A. Semi-supervised classification with cluster ensemble In compilation 2017 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON). 2017. – C.245-250. DOI: 10.1109/sibircon.2017.8109880 Scopus OpenAlex
44	Berikov V.B. , Pestunov I. , Kozinets R. , Rylov S. Computationally efficient methods of clustering ensemble construction for satellite image segmentation In compilation CEUR Workshop Proceedings. 2017. – Т.1901. – C.260 - 266. Scopus
45	Berikov V.B. , Pestunov I. , Karaev N. , Tewari A. Recognition of hyperspectral images with use of cluster ensemble and semisupervised learning In compilation CEUR Workshop Proceedings. 2017. – Т.2033. – C.60-64. Scopus

Conference theses (3) More info

1	Климонтов В. , Kladov D. , Berikov V. , Семенов Ю. Nocturnal glucose fluctuations in patients with type 1 diabetes: which patterns are associated with hypoglycemia? Diabetes Technology and Therapeutics. 2022. V.24 (Suppl. 1). P.A-164. WOS OpenAlex
2	Kalmutskiy K. , Berikov V. Manifold Regularization and a Probabilistic Approach in the Problem of Weakly Supervised Regression In compilation Mathematical Optimization Theory and Operations Research: Recent Trends. 21st International Conference, MOTOR 2022 Petrozavodsk, Russia, July 2–6, 2022 Revised Selected Papers. – Springer Nature., 2022. – ISBN 9783031162237.
3	Kondratyev V. , Berikov V. Solving weakly supervised multi-output regression In compilation Computer data analysis and modeling: Stochastics and data science : Proceedings of the XIII International Conference. Minsk, 2022. – Belarusian State University., 2022. – C.83-86. – ISBN 978-985-881-420-5. РИНЦ

Conference attendances (10) More info

1	Berikov V. Ensemble Clustering with Heterogeneous Transfer Learning 11th International Conference on Analysis of Images, Social Networks and Texts 28-30 Sep 2023
2	Кальмуцкий К.О. , Cherikbayeva L. , Litvinenko A. , Berikov V.B. Multi-target Weakly Supervised Regression Using Manifold Regularization and Wasserstein Metric 22nd International conference "Mathematical Optimization Theory and Operations Research" 02-08 Jul 2023
3	Berikov V.B. Heterogeneous cluster ensemble: probabilistic model, measure of diversity and quality estimate 14-я Международная конференция "Интеллектуализация обработки информации" 06-09 Dec 2022
4	Kozinets R.M. , Berikov V.B. Visual Word based Neural Tree for Interpretable Recognition of Images 2nd International Conference “Problems of Informatics, Electronics and Radio Engineering 11-13 Nov 2022
5	Litvinenko A. , Berikov V.B. Weakly Supervised Regression on Uncertain Datasets Workshop Imaging With Uncertainty Quantification 27-29 Sep 2022
6	Кондратьев В. , Berikov V.B. Solving weakly supervised multi-output regression Международная конференция КОМПЬЮТЕРНЫЕ ДАННЫЕ АНАЛИЗ И МОДЕЛИРОВАНИЕ: СТОХАСТИКА И НАУКА ДАННЫХ 06-10 Sep 2022
7	Kalmutskiy K. , Berikov V.B. Manifold Regularization and a Probabilistic Approach in the Problem of Weakly Supervised Regression International Conference Mathematical Optimization Theory and Operations Research Petrozavodsk, Karelia, Russia, July 2-6, 2022 02-08 Jul 2022
8	Klimontov V. , Kladov D. , Berikov V. , Semenova J. Nocturnal glucose fluctuations in patients with type 1 diabetes: which patterns are associated with hypoglycemia? Advanced Technologies & Treatments for Diabetes 27-30 Apr 2022
9	Vikent'ev A. , Berikov V. , Vikentiev R. , Serov M. COLLECTIVE DISTANCES FOR CLUSTERING N-VALUED LOGIC FORMULAS REPRESENTING KNOWLEDGE BASE OF INTELLECTUAL SYSTEM 2019 International Multi-Conference on Engineering, Computer and Information Sciences 21-27 Oct 2019
10	Berikov V.B. A method of ensemble clustering using heterogeneous transfer learning Situation, Language, Speech. Models & Applications 08-11 Oct 2019

Identifiers

Degrees

2007 - Dr.Sc.

Academic titles

2003 - Associate professor