Vadim V. Strijov

32 papers Journal 25Unranked 6
YearRankTypeTitle / Venue / Authors
2024 J jnl
Optimal spanning tree reconstruction in symbolic regression.
CoRR
Radoslav G. Neychev, Innokentiy A. Shibaev, Vadim V. Strijov
2023 — conf
Deep Learning Model Selection With Parametric Complexity Control.
ICAART (2)
Olga S. Grebenkova, Oleg Yu. Bakhteev, Vadim V. Strijov
2022 J jnl
Analysis of the Properties of Probabilistic Models in Expert-Augmented Learning Problems.
Autom. Remote. Control.
A. I. Bazarova, Andrey V. Grabovoy, Vadim V. Strijov
2022 J jnl
Continuous physical activity recognition for intelligent labour monitoring.
Multim. Tools Appl.
Anastasia Motrenko, Egor Simchuk, Renat Khairullin, Andrey Inyakin, Daniil O. Kashirin, Vadim V. Strijov
2022 J jnl
Foreword of the Program Committee of the Conference "Mathematical Pattern Recognition Methods".
Autom. Remote. Control.
Konstantin V. Vorontsov, Alexander A. Lazarev, Darya V. Lemtyuzhnikova, Vadim V. Strijov, Yulia V. Chekhovich, Yuri V. Chekhovich
2022 J jnl
Gradient Methods for Optimizing Metaparameters in the Knowledge Distillation Problem.
Autom. Remote. Control.
M. Gorpinich, Oleg Yu. Bakhteev, Vadim V. Strijov
2022 J jnl
Probabilistic Interpretation of the Distillation Problem.
Autom. Remote. Control.
Andrey V. Grabovoy, Vadim V. Strijov
2022 J jnl
Quadratic programming feature selection for multicorrelated signal decoding with partial least squares.
Expert Syst. Appl.
R. V. Isachenko, Vadim V. Strijov
2021 J jnl
Bayesian Distillation of Deep Learning Models.
Autom. Remote. Control.
Andrey V. Grabovoy, Vadim V. Strijov
2021 — conf
Neural Architecture Search with Structure Complexity Control.
AIST (Supplement)
Konstantin D. Yakovlev, Olga S. Grebenkova, Oleg Yu. Bakhteev, Vadim V. Strijov
2020 J jnl
Comprehensive analysis of gradient-based hyperparameter optimization algorithms.
Ann. Oper. Res.
Oleg Yu. Bakhteev, Vadim V. Strijov
2019 — ed.
Intelligent Data Processing, 11th International Conference, IDP 2016, Barcelona, Spain, October 10-14, 2016, Revised Selected Papers.
IDP
Vadim V. Strijov, Dmitry I. Ignatov, Konstantin V. Vorontsov
2019 — conf
U-Net Based Architectures for Document Text Detection and Binarization.
ISVC (2)
Filipp Nikitin, Vladimir Dokholyan, Ilia Zharikov, Vadim V. Strijov
2018 J jnl
Deep Learning Model Selection of Suboptimal Complexity.
Autom. Remote. Control.
Oleg Yu. Bakhteev, Vadim V. Strijov
2018 J jnl
Multi-way feature selection for ECoG-based Brain-Computer Interface.
Expert Syst. Appl.
Anastasia Motrenko, Vadim V. Strijov
2018 J jnl
Object selection in credit scoring using covariance matrix of parameters estimations.
Ann. Oper. Res.
Alexander A. Aduenko, Anastasia Motrenko, Vadim V. Strijov
2017 J jnl
Comprehensive study of feature selection methods to solve multicollinearity problem according to evaluation criteria.
Expert Syst. Appl.
Alexandr Katrutsa, Vadim V. Strijov
2017 J jnl
Generation of simple structured information retrieval functions by genetic algorithm without stagnation.
Expert Syst. Appl.
A. S. Kulunchakov, Vadim V. Strijov
2017 — conf
Position-Based Content Attention for Time Series Forecasting with Sequence-to-Sequence RNNs.
ICONIP (5)
Yagmur Gizem Cinar, Hamid Mirisaee, Parantapa Goswami, Éric Gaussier, Ali Aït-Bachir, Vadim V. Strijov
2017 J jnl
Time Series Forecasting using RNNs: an Extended Attention Mechanism to Model Periods and Handle Missing Values.
CoRR
Yagmur Gizem Cinar, Hamid Mirisaee, Parantapa Goswami, Éric Gaussier, Ali Aït-Bachir, Vadim V. Strijov
2016 J jnl
Analytic and Stochastic Methods of Structure Parameter Estimation.
Informatica
Mikhail P. Kuznetsov, Aleksandra Tokmakova, Vadim V. Strijov
2016 J jnl
Extracting Fundamental Periods to Segment Biomedical Signals.
IEEE J. Biomed. Health Informatics
Anastasia Motrenko, Vadim V. Strijov
2016 J jnl
Human activity recognition using quasiperiodic time series collected from a single tri-axial accelerometer.
Multim. Tools Appl.
Andrey D. Ignatov, Vadim V. Strijov
2016 — conf
Methods for Intrinsic Plagiarism Detection and Author Diarization.
CLEF (Working Notes)
Mikhail P. Kuznetsov, Anastasia Motrenko, Rita Kuznetsova, Vadim V. Strijov
2015 J jnl
Editorial of the special issue data analysis and intelligent optimization with applications.
Mach. Learn.
Vadim V. Strijov, Gerhard-Wilhelm Weber, Richard Weber, Süreyya Özögür-Akyüz
2015 J jnl
Metric concentration search procedure using reduced matrix of pairwise distances.
Intell. Data Anal.
Alexandr Katrutsa, Mikhail P. Kuznetsov, Konstantin V. Rudakov, Vadim V. Strijov
2015 J jnl
Ordinal classification using Pareto fronts.
Expert Syst. Appl.
M. M. Stenina, Mikhail P. Kuznetsov, Vadim V. Strijov
2015 — conf
Supervised Topic Classification for Modeling a Hierarchical Conference Structure.
ICONIP (1)
Mikhail P. Kuznetsov, Marianne Clausel, Massih-Reza Amini, Éric Gaussier, Vadim V. Strijov
2014 J jnl
Methods of expert estimations concordance for integral quality estimation.
Expert Syst. Appl.
Mikhail P. Kuznetsov, Vadim V. Strijov
2014 J jnl
Sample size determination for logistic regression.
J. Comput. Appl. Math.
Anastasiya Motrenko, Vadim V. Strijov, Gerhard-Wilhelm Weber
2013 J jnl
Evidence optimization for consequently generated models.
Math. Comput. Model.
Vadim V. Strijov, Ekaterina A. Krymova, Gerhard-Wilhelm Weber
2010 J jnl
Nonlinear regression model generation using hyperparameter optimization.
Comput. Math. Appl.
Vadim V. Strijov, Gerhard-Wilhelm Weber