Articles - Sciact

Articles (57)

#	Публикация
21	Козинец Р.М. , Бериков В.Б. , Климонтов В.В. ПРОГНОЗИРОВАНИЕ НОЧНЫХ ЭПИЗОДОВ ГИПОГЛИКЕМИИ И ГИПЕРГЛИКЕМИИ У ПАЦИЕНТОВ С САХАРНЫМ ДИАБЕТОМ 1 ТИПА С ПОМОЩЬЮ МОДЕЛЕЙ ГЛУБОКОГО МАШИННОГО ОБУЧЕНИЯ In compilation Cборник трудов III Всероссийской конференции с международным участием "Математика в медицине". – Международный центр научного партнерства "Новая Наука"., 2023. – C.61-64. – ISBN 9785002151301. РИНЦ
22	Бериков В.Б. Нейросетевая система диагностики острого инсульта на основе компьютерного анализа кт-изображений головного мозга Наука и технологии Сибири. 2023. Т.3. №10. С.73-74.
23	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
24	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
25	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
26	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
27	Бериков В.Б. Модель и метод построения разнородного кластерного ансамбля Автоматика и телемеханика. 2022. №12. С.89-107. DOI: 10.31857/S000523102212008X РИНЦ OpenAlex
28	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
29	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
30	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
31	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
32	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
33	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
34	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
35	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
36	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
37	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
38	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
39	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
40	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

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