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41
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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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42
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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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43
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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
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44
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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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45
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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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46
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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
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47
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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
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48
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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
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49
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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
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50
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Vikent'ev A.
, Serov M.
, Vikentiev R.
, Berikov V.
Collective Distances for Clustering N-Valued Logic Formulas Representing Knowledge Base of Intellectual System
В сборнике
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
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51
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Викентьев А.А.
, Серов М.С.
, Бериков В.Б.
, Черикбаева Л.Ш.
, Тулегенова Б.А.
КОЛЛЕКТИВНЫЕ РАССТОЯНИЯ ДЛЯ КЛАСТЕРИЗАЦИИ
МНОЖЕСТВ ФОРМУЛ N-ЗНАЧНОЙ ЛОГИКИ
В сборнике
МАТЕРИАЛЫ
IV международной научно-практической конференции
"Информатика и прикладная математика".
– Институт информационных и вычислительных технологий МОН РК.,
2019.
– C.219-234. – ISBN 978-601-332-384-8.
|
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52
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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
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53
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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
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54
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Berikov V.
, Litvinenko A.
SEMI-SUPERVISED REGRESSION USING CLUSTER ENSEMBLE AND LOW-RANK CO-ASSOCIATION MATRIX DECOMPOSITION UNDER UNCERTAINTIES
В сборнике
14th World Congress of Computational Mechanics and ECCOMAS Congress, WCCM-ECCOMAS 2020.
2019.
– C.229-242. DOI: 10.7712/120219.6338.18377
Scopus
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55
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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
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56
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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
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57
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Бериков В.Б.
, Cherikbayeva L.
Searching for Optimal Classifier Using a Combination of Cluster Ensemble and Kernel Method
В сборнике
CEUR Workshop Proceedings. 2018 School-Seminar on Optimization Problems and their Applications..
2018.
– Т.2098. – C.45-60.
Scopus
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58
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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
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59
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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
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60
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Berikov V.B.
, Pestunov I.
, Kozinets R.
, Rylov S.
Computationally efficient methods of clustering ensemble construction for satellite image segmentation
В сборнике
CEUR Workshop Proceedings.
2017.
– Т.1901. – C.260 - 266.
Scopus
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