Vladimir B. Berikov

25 papers Misc 3Journal 14Unranked 8
YearRankTypeTitle / Venue / Authors
2024 J jnl
A fast consistent grid-based clustering algorithm.
Pattern Anal. Appl.
Anton S. Tarasenko, Vladimir B. Berikov, Igor Pestunov, Sergey V. Ablameyko, Pavel S. Ruzankin
2023 J jnl
Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks.
CoRR
A. V. Dobshik, S. K. Verbitskiy, I. A. Pestunov, K. M. Sherman, Yu. N. Sinyavskiy, A. A. Tulupov, Vladimir B. Berikov
2023 Misc conf
Ensemble Clustering with Heterogeneous Transfer Learning.
AIST
Vladimir B. Berikov
2022 J jnl
ERANNs: Efficient residual audio neural networks for audio pattern recognition.
Pattern Recognit. Lett.
Sergey Verbitskiy, Vladimir B. Berikov, Viacheslav Vyshegorodtsev
2022 J jnl
Model and Method for Constructing a Heterogeneous Cluster Ensemble.
Autom. Remote. Control.
Vladimir B. Berikov
2021 J jnl
Identification of unknown parameters and prediction with hierarchical matrices.
CoRR
Alexander Litvinenko, Ronald Kriemann, Vladimir B. Berikov
2021 Misc conf
On a Weakly Supervised Classification Problem.
AIST
Vladimir B. Berikov, Alexander Litvinenko, Igor Pestunov, Yuriy Sinyavskiy
2021 J jnl
Solving weakly supervised regression problem using low-rank manifold regularization.
CoRR
Vladimir B. Berikov, Alexander Litvinenko
2021 — conf
Weakly Supervised Regression Using Manifold Regularization and Low-Rank Matrix Representation.
MOTOR
Vladimir B. Berikov, Alexander Litvinenko
2021 J jnl
Weakly supervised semantic segmentation of tomographic images in the diagnosis of stroke.
CoRR
Anna Dobshik, Andrey Tulupov, Vladimir B. Berikov
2020 J jnl
Heterogeneous Transfer Learning in Ensemble Clustering.
CoRR
Vladimir B. Berikov
2020 — conf
Recognition of Tomographic Images in the Diagnosis of Stroke.
ICPR Workshops (5)
Kirill Kalmutskiy, Andrey Tulupov, Vladimir B. Berikov
2019 J jnl
Semi-Supervised Regression using Cluster Ensemble and Low-Rank Co-Association Matrix Decomposition under Uncertainties.
CoRR
Vladimir B. Berikov, Alexander Litvinenko
2019 — conf
Semi-supervised Classification Using Multiple Clustering and Low-Rank Matrix Operations.
MOTOR
Vladimir B. Berikov
2018 Misc conf
Regression Analysis with Cluster Ensemble and Kernel Function.
AIST
Vladimir B. Berikov, Taisiya Vinogradova
2017 J jnl
Ensemble clustering based on weighted co-association matrices: Error bound and convergence properties.
Pattern Recognit.
Vladimir B. Berikov, Igor Pestunov
2016 — conf
Cluster Ensemble with Averaged Co-Association Matrix Maximizing the Expected Margin.
DOOR (Supplement)
Vladimir B. Berikov
2014 J jnl
Weighted ensemble of algorithms for complex data clustering.
Pattern Recognit. Lett.
Vladimir B. Berikov
2011 — conf
A Latent Variable Pairwise Classification Model of a Clustering Ensemble.
MCS
Vladimir B. Berikov
2009 — conf
Construction of the Ensemble of Logical Models in Cluster Analysis.
ICIC (2)
Vladimir B. Berikov
2008 — conf
Bayesian Model of Recognition on a Finite Set of Events.
SETN
Vladimir B. Berikov, Gennady Lbov
2007 — conf
Construction of an Event Tree on the Basis of Expert Knowledge and Time Series.
KONT/KPP
Gennady Lbov, Vladimir B. Berikov
2003 J jnl
The influence of prior knowledge on the expected performance of a classifier.
Pattern Recognit. Lett.
Vladimir B. Berikov, Alexander Litvinenko
2002 J jnl
An approach to the evaluation of the performance of a discrete classifier.
Pattern Recognit. Lett.
Vladimir B. Berikov
1999 J jnl
Regression trees for analysis of mutational spectra in nucleotide sequences.
Bioinform.
Vladimir B. Berikov, Igor B. Rogozin