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Статьи (57)

# Публикация
41 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
42 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
43 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
44 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
45 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 OpenAlex
46 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 OpenAlex
47 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.
48 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
49 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
50 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
51 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
52 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
53 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
54 Tatarnikov V. , Berikov V. , Pestunov I.
Cluster ensemble construction with the algorithm of averaged centroids
В сборнике 2017 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON). 2017. – C.60-64. DOI: 10.1109/sibircon.2017.8109902 Scopus OpenAlex
55 Berikov V. , Karaev N. , Tewari A.
Semi-supervised classification with cluster ensemble
В сборнике 2017 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON). 2017. – C.245-250. DOI: 10.1109/sibircon.2017.8109880 Scopus OpenAlex
56 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
57 Berikov V.B. , Pestunov I. , Karaev N. , Tewari A.
Recognition of hyperspectral images with use of cluster ensemble and semisupervised learning
В сборнике CEUR Workshop Proceedings. 2017. – Т.2033. – C.60-64. Scopus

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