Vladimir B. Berikov

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 16

Top Topics

Cluster Ensemble

Weakly Supervised

Convolutional Neural Networks

Data Clustering

Top Venues

Pattern Recognit. Lett.

Publications

Vladimir B. Berikov
Ensemble Clustering with Heterogeneous Transfer Learning. AIST (2023)
A. V. Dobshik, S. K. Verbitskiy, I. A. Pestunov, K. M. Sherman, Yu. N. Sinyavskiy, A. A. Tulupov, Vladimir B. Berikov
Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks. CoRR (2023)
Sergey Verbitskiy, Vladimir B. Berikov, Viacheslav Vyshegorodtsev
ERANNs: Efficient residual audio neural networks for audio pattern recognition. Pattern Recognit. Lett. 161 (2022)
Vladimir B. Berikov
Model and Method for Constructing a Heterogeneous Cluster Ensemble. Autom. Remote. Control. 83 (12) (2022)
Anna Dobshik, Andrey Tulupov, Vladimir B. Berikov
Weakly supervised semantic segmentation of tomographic images in the diagnosis of stroke. CoRR (2021)
Vladimir B. Berikov, Alexander Litvinenko
Solving weakly supervised regression problem using low-rank manifold regularization. CoRR (2021)
Vladimir B. Berikov, Alexander Litvinenko, Igor Pestunov, Yuriy Sinyavskiy
On a Weakly Supervised Classification Problem. AIST (2021)
Vladimir B. Berikov, Alexander Litvinenko
Weakly Supervised Regression Using Manifold Regularization and Low-Rank Matrix Representation. MOTOR (2021)
Alexander Litvinenko, Ronald Kriemann, Vladimir B. Berikov
Identification of unknown parameters and prediction with hierarchical matrices. CoRR (2021)
Kirill Kalmutskiy, Andrey Tulupov, Vladimir B. Berikov
Recognition of Tomographic Images in the Diagnosis of Stroke. ICPR Workshops (5) (2020)
Vladimir B. Berikov
Heterogeneous Transfer Learning in Ensemble Clustering. CoRR (2020)
Vladimir B. Berikov
Semi-supervised Classification Using Multiple Clustering and Low-Rank Matrix Operations. MOTOR (2019)
Vladimir B. Berikov, Alexander Litvinenko
Semi-Supervised Regression using Cluster Ensemble and Low-Rank Co-Association Matrix Decomposition under Uncertainties. CoRR (2019)
Vladimir B. Berikov, Taisiya Vinogradova
Regression Analysis with Cluster Ensemble and Kernel Function. AIST (2018)
Vladimir B. Berikov, Igor Pestunov
Ensemble clustering based on weighted co-association matrices: Error bound and convergence properties. Pattern Recognit. 63 (2017)
Vladimir B. Berikov
Cluster Ensemble with Averaged Co-Association Matrix Maximizing the Expected Margin. DOOR (Supplement) (2016)
Vladimir B. Berikov
Weighted ensemble of algorithms for complex data clustering. Pattern Recognit. Lett. 38 (2014)
Vladimir B. Berikov
A Latent Variable Pairwise Classification Model of a Clustering Ensemble. MCS (2011)
Vladimir B. Berikov
Construction of the Ensemble of Logical Models in Cluster Analysis. ICIC (2) (2009)
Vladimir B. Berikov, Gennady Lbov
Bayesian Model of Recognition on a Finite Set of Events. SETN (2008)
Gennady Lbov, Vladimir B. Berikov
Construction of an Event Tree on the Basis of Expert Knowledge and Time Series. KONT/KPP (2007)
Vladimir B. Berikov, Alexander Litvinenko
The influence of prior knowledge on the expected performance of a classifier. Pattern Recognit. Lett. 24 (15) (2003)
Vladimir B. Berikov
An approach to the evaluation of the performance of a discrete classifier. Pattern Recognit. Lett. 23 (1-3) (2002)