Analysis of phylogenetically reconstructed mutational spectra in human mitochondrial DNA control region BA Malyarchuk, IB Rogozin, VB Berikov, MV Derenko Human genetics 111, 46-53, 2002 | 109 | 2002 |
Weighted ensemble of algorithms for complex data clustering V Berikov Pattern Recognition Letters 38, 99-106, 2014 | 71 | 2014 |
Ensemble clustering based on weighted co-association matrices: Error bound and convergence properties V Berikov, I Pestunov Pattern Recognition 63, 427-436, 2017 | 62 | 2017 |
Eranns: Efficient residual audio neural networks for audio pattern recognition S Verbitskiy, V Berikov, V Vyshegorodtsev Pattern Recognition Letters 161, 38-44, 2022 | 61 | 2022 |
Methods for statistical data analysis with decision trees V Berikov, A Litvinenko Novosibirsk, Sobolev Institute of Mathematics, 2003 | 42 | 2003 |
Hierarchical clustering algorithms for segmentation of multispectral images IA Pestunov, SA Rylov, VB Berikov Optoelectronics, Instrumentation and Data Processing 51, 329-338, 2015 | 31 | 2015 |
Regression trees for analysis of mutational spectra in nucleotide sequences. VB Berikov, IB Rogozin Bioinformatics (Oxford, England) 15 (7), 553-562, 1999 | 30 | 1999 |
Ensemble of clustering algorithms for large datasets IA Pestunov, VB Berikov, EA Kulikova, SA Rylov Optoelectronics, instrumentation and data processing 47, 245-252, 2011 | 27 | 2011 |
The influence of prior knowledge on the expected performance of a classifier V Berikov, A Litvinenko Pattern recognition letters 24 (15), 2537-2548, 2003 | 26 | 2003 |
An approach to the evaluation of the performance of a discrete classifier VB Berikov Pattern recognition letters 23 (1-3), 227-233, 2002 | 22 | 2002 |
A probabilistic model of fuzzy clustering ensemble VB Berikov Pattern Recognition and Image Analysis 28, 1-10, 2018 | 15 | 2018 |
Machine learning models for nocturnal hypoglycemia prediction in hospitalized patients with type 1 diabetes VB Berikov, OA Kutnenko, JF Semenova, VV Klimontov Journal of Personalized Medicine 12 (8), 1262, 2022 | 14 | 2022 |
Recursive method of formation of the recognition decision rule in the class of logical functions GS Lbov, VB Berikov Pattern Recognition and Image Analysis 3 (4), 428-431, 1993 | 13 | 1993 |
Construction of an optimal collective decision in cluster analysis on the basis of an averaged co-association matrix and cluster validity indices VB Berikov Pattern Recognition and Image Analysis 27, 153-165, 2017 | 12 | 2017 |
A priori estimates of recognition quality for discrete features VB Berikov PATTERN RECOGNITION AND IMAGE ANALYSIS C/C OF RASPOZNAVANIYE OBRAZOV I …, 2002 | 12 | 2002 |
Semi-supervised classification with cluster ensemble V Berikov, N Karaev, A Tewari 2017 International Multi-Conference on Engineering, Computer and Information …, 2017 | 11 | 2017 |
Algorithm for multispectral image segmentation based on ensemble of nonparametric clustering algorithms IA Pestunov, VB Berikov, YN Sinyavskiy, IA Pestunov, IA Pestunov, ... Siberian Aerospace Journal 11 (5), 56-64, 2010 | 11 | 2010 |
Semi-supervised classification using multiple clustering and low-rank matrix operations V Berikov Mathematical Optimization Theory and Operations Research: 18th International …, 2019 | 10 | 2019 |
Sovremennye tendencii v klasternom analize VB Berikov, GS Lbov Novosibirsk: in-t matematiki im. SL Soboleva. SO RAN, 2008 | 10 | 2008 |
The effect of the primary structure of DNA on induction of mutations by alkylating agents IB Rogozin, VB Berikov, EA Vasunina, OI Sinitsina Russian Journal of Genetics 37, 704-710, 2001 | 10 | 2001 |