V. Strijov

发表

Methods for Intrinsic Plagiarism Detection and Author Diarization

Vadim V. Strijov, Rita Kuznetsova, Mikhail P. Kuznetsov, 2016, CLEF.

Nonlinear regression model generation using hyperparameter optimization

Vadim V. Strijov, Gerhard-Wilhelm Weber, V. Strijov, 2010, Comput. Math. Appl..

Quadratic Programming Optimization with Feature Selection for Nonlinear Models

V. Strijov, R. Isachenko, 2018, Lobachevskii Journal of Mathematics.

Bayesian sample size estimation for logistic regression

Anastasia Motrenko, V. Strijov, G. Weber, 2012 .

Integral indicator of ecological impact of the Croatian thermal power plants

Vadim V. Strijov, Branka Jelavić, Željko Jurić, 2011 .

Structure parameter estimation algorithms for model selection I,II

M. Kuznetsov, V. Strijov, A. Tokmakova, 2013 .

Evidence Optimization for Consequently Generated Models

V. Strijov, G. Weber, Katerina Krymova, 2011 .

Structure parameter estimation algorithms for model selection

M. Kuznetsov, V. Strijov, A. Tokmakova, 2013 .

DRACON: disconnected graph neural network for atom mapping in chemical reactions.

O. Isayev, V. Strijov, Filipp Nikitin, 2020, Physical chemistry chemical physics : PCCP.

Object selection in credit scoring using covariance matrix of parameters estimations

Alexander A. Aduenko, Anastasia Motrenko, V. Strijov, 2017, Annals of Operations Research.

Combining endogenous and exogenous variables in a special case of non-parametric time series forecasting model

K. V. Rudakov, V. Strijov, A. Motrenko, 2016, Moscow University Computational Mathematics and Cybernetics.

Quadratic Programming Optimization with Feature Selection for Nonlinear Models

V. Strijov, R. Isachenko, 2018, Lobachevskii Journal of Mathematics.

Extracting Fundamental Periods to Segment Biomedical Signals

Vadim V. Strijov, Anastasia Motrenko, Anastasia Motrenko, 2016, IEEE Journal of Biomedical and Health Informatics.

Sample size determination for logistic regression

Vadim V. Strijov, Gerhard-Wilhelm Weber, Anastasiya Motrenko, 2014, J. Comput. Appl. Math..

Metric concentration search procedure using reduced matrix of pairwise distances

Alexandr Katrutsa, Vadim V. Strijov, K. V. Rudakov, 2015, Intell. Data Anal..

Human activity recognition using quasiperiodic time series collected from a single tri-axial accelerometer

Vadim V. Strijov, Andrey D. Ignatov, V. Strijov, 2016, Multimedia Tools and Applications.

Evidence optimization for consequently generated models

Vadim V. Strijov, Gerhard-Wilhelm Weber, Ekaterina Krymova, 2011, Math. Comput. Model..

Object selection in credit scoring using covariance matrix of parameters estimations

Vadim V. Strijov, Anastasia Motrenko, Alexander A. Aduenko, 2018, Ann. Oper. Res..

Position-Based Content Attention for Time Series Forecasting with Sequence-to-Sequence RNNs

Vadim V. Strijov, Éric Gaussier, Ali Aït-Bachir, 2017, ICONIP.

Analysis of the Properties of Probabilistic Models in Expert-Augmented Learning Problems

V. Strijov, A. I. Bazarova, A. Grabovoy, 2022, Automation and remote control.

Prior Distribution Selection for a Mixture of Experts

V. V. Strijov, A. V. Grabovoy, V. Strijov, 2021, Computational Mathematics and Mathematical Physics.

Comprehensive study of feature selection methods to solve multicollinearity problem according to evaluation criteria

A. Katrutsa, V. Strijov, 2017, Expert Syst. Appl..

Stress test procedure for feature selection algorithms

Alexandr Katrutsa, Vadim V. Strijov, A. Katrutsa, 2015 .

Time Series Forecasting using RNNs: an Extended Attention Mechanism to Model Periods and Handle Missing Values pdf

Vadim V. Strijov, Éric Gaussier, Ali Aït-Bachir, 2017, ArXiv.

Probabilistic Interpretation of the Distillation Problem

V. Strijov, A. Grabovoy, V. Strijov, 2022, Automation and Remote Control.

Multi-way feature selection for ECoG-based Brain-Computer Interface

Vadim V. Strijov, Anastasia Motrenko, Anastasia Motrenko, 2018, Expert Syst. Appl..

Editorial of the special issue data analysis and intelligent optimization with applications

V. Strijov, G. Weber, R. Weber, 2015, Machine Learning.

Generation of simple structured information retrieval functions by genetic algorithm without stagnation

Vadim V. Strijov, A. S. Kulunchakov, V. Strijov, 2017, Expert Syst. Appl..

U-Net Based Architectures for Document Text Detection and Binarization

Vadim V. Strijov, Filipp Nikitin, Ilia Zharikov, 2019, ISVC.

Distance Function Selection for Multivariate Time-Series

Alexey Goncharov, Gleb Morgachev, Vadim Strijov, 2019, 2019 International Conference on Artificial Intelligence: Applications and Innovations (IC-AIAI).

Quadratic programming feature selection for multicorrelated signal decoding with partial least squares

V. Strijov, R. Isachenko, 2022, Expert Syst. Appl..

Deep Learning Model Selection of Suboptimal Complexity

V. Strijov, O. Bakhteev, 2018, Automation and Remote Control.

Ordinal Classification Using Partially Ordered Feature Sets

M. Kuznetsov, V. Strijov, 2014 .

Comprehensive analysis of gradient-based hyperparameter optimization algorithms

O. Y. Bakhteev, V. V. Strijov, V. Strijov, 2019, Annals of Operations Research.

Deep Learning Model Selection of Suboptimal Complexity

Vadim V. Strijov, Oleg Yu. Bakhteev, V. Strijov, 2018, Autom. Remote. Control..

Model Selection in Regression Analysis

M. Campi, S. Garatti, V. Strijov, 2010 .

Supervised Topic Classification for Modeling a Hierarchical Conference Structure

Vadim V. Strijov, Massih-Reza Amini, Éric Gaussier, 2015, ICONIP.