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21
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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
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22
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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
|
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23
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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
|
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24
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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
|
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25
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Mikhailapov D.
, Tulupov A.
, Alyamkin S.
, Berikov V.
Compression of Deep Neural Network for Acute Ischemic Stroke Segmentation
В сборнике
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
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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
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27
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Бериков В.Б.
Модель и метод построения разнородного кластерного ансамбля
Автоматика и телемеханика. 2022.
№12. С.89-107. DOI: 10.31857/S000523102212008X
РИНЦ
OpenAlex
|
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28
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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
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29
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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
|
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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
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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
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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
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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
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34
|
Pnev S.
, Tulupov A.
, Berikov V.
Modified U-net with Different Attention Mechanisms for Acute Ischemic Stroke Segmentation using Non-Contrast CT
В сборнике
Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology.
– IEEE.,
2021.
DOI: 10.1109/usbereit51232.2021.9454963
Scopus
OpenAlex
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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
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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
В сборнике
Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology.
– IEEE.,
2020.
– C.376-379. DOI: 10.1109/USBEREIT48449.2020.9117784
Scopus
OpenAlex
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37
|
Berikov V.
Autoencoder-based Low-Rank Spectral Ensemble Clustering of Biological Data
В сборнике
Proceedings - 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020.
– IEEE.,
2020.
– C.43-46. DOI: 10.1109/CSGB51356.2020.9214622
Scopus
OpenAlex
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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
В сборнике
Proceedings - 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020.
– IEEE.,
2020.
– C.10-13. DOI: 10.1109/CSGB51356.2020.9214706
Scopus
OpenAlex
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39
|
Odinokikh N.
, Berikov V.
Cluster Ensemble Kernel for Kernel-based Classification
В сборнике
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
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40
|
Postovalov S.
, Berikov V.
, Bryzgalov L.
, Korbolina E.
On the Relationship between Regulatory and Exomic DNA Markers
В сборнике
Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology.
– IEEE.,
2020.
DOI: 10.1109/usbereit48449.2020.9117734
Scopus
OpenAlex
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