Nonlinear regression model generation using hyperparameter optimization. - Vadim V. Strijov; Gerhard-Wilhelm Weber (Comput. Math. Appl., 2010)

Evidence optimization for consequently generated models. - Vadim V. Strijov; Ekaterina A. Krymova; Gerhard-Wilhelm Weber (Math. Comput. Model., 2013)

Methods of expert estimations concordance for integral quality estimation. - Mikhail P. Kuznetsov; Vadim V. Strijov (Expert Syst. Appl., 2014)

Sample size determination for logistic regression. - Anastasiya Motrenko; Vadim V. Strijov; Gerhard-Wilhelm Weber (J. Comput. Appl. Math., 2014)

Supervised Topic Classification for Modeling a Hierarchical Conference Structure. - Mikhail P. Kuznetsov; Marianne Clausel; Massih-Reza Amini; Éric Gaussier; Vadim V. Strijov (ICONIP (1), 2015)

Ordinal classification using Pareto fronts. - M. M. Stenina; Mikhail P. Kuznetsov; Vadim V. Strijov (Expert Syst. Appl., 2015)

Metric concentration search procedure using reduced matrix of pairwise distances. - Alexandr Katrutsa; Mikhail P. Kuznetsov; Konstantin V. Rudakov; Vadim V. Strijov (Intell. Data Anal., 2015)

Editorial of the special issue data analysis and intelligent optimization with applications. - Vadim V. Strijov; Gerhard-Wilhelm Weber; Richard Weber 002; Süreyya Özögür-Akyüz (Mach. Learn., 2015)

Methods for Intrinsic Plagiarism Detection and Author Diarization. - Mikhail P. Kuznetsov; Anastasia Motrenko; Rita Kuznetsova; Vadim V. Strijov (CLEF (Working Notes), 2016)

Analytic and Stochastic Methods of Structure Parameter Estimation. - Mikhail P. Kuznetsov; Aleksandra Tokmakova; Vadim V. Strijov (Informatica, 2016)

Human activity recognition using quasiperiodic time series collected from a single tri-axial accelerometer. - Andrey D. Ignatov; Vadim V. Strijov (Multim. Tools Appl., 2016)

Extracting Fundamental Periods to Segment Biomedical Signals. - Anastasia Motrenko; Vadim V. Strijov (IEEE J. Biomed. Health Informatics, 2016)

Position-Based Content Attention for Time Series Forecasting with Sequence-to-Sequence RNNs. - Yagmur Gizem Cinar; Hamid Mirisaee; Parantapa Goswami; Éric Gaussier; Ali Aït-Bachir; Vadim V. Strijov (ICONIP (5), 2017)

Selecting an optimal model for forecasting the volumes of railway goods transportation. - Konstantin V. Rudakov; Vadim V. Strizhov; Daniil O. Kashirin; Mikhail P. Kuznetsov; Anastasiya P. Motrenko; M. M. Stenina (Autom. Remote. Control., 2017)

Time Series Forecasting using RNNs: an Extended Attention Mechanism to Model Periods and Handle Missing Values. - Yagmur Gizem Cinar; Hamid Mirisaee; Parantapa Goswami; Éric Gaussier; Ali Aït-Bachir; Vadim V. Strijov (CoRR, 2017)

Comprehensive study of feature selection methods to solve multicollinearity problem according to evaluation criteria. - Alexandr Katrutsa; Vadim V. Strijov (Expert Syst. Appl., 2017)

Generation of simple structured information retrieval functions by genetic algorithm without stagnation. - A. S. Kulunchakov; Vadim V. Strijov (Expert Syst. Appl., 2017)

Deep Learning Model Selection of Suboptimal Complexity. - Oleg Yu. Bakhteev; Vadim V. Strijov (Autom. Remote. Control., 2018)

Object selection in credit scoring using covariance matrix of parameters estimations. - Alexander A. Aduenko; Anastasia Motrenko; Vadim V. Strijov (Ann. Oper. Res., 2018)

Multi-way feature selection for ECoG-based Brain-Computer Interface. - Anastasia Motrenko; Vadim V. Strijov (Expert Syst. Appl., 2018)

U-Net Based Architectures for Document Text Detection and Binarization. - Filipp Nikitin; Vladimir Dokholyan; Ilia Zharikov; Vadim V. Strijov (ISVC (2), 2019)

Comprehensive analysis of gradient-based hyperparameter optimization algorithms. - Oleg Yu. Bakhteev; Vadim V. Strijov (Ann. Oper. Res., 2020)

Neural Architecture Search with Structure Complexity Control. - Konstantin D. Yakovlev; Olga S. Grebenkova; Oleg Yu. Bakhteev; Vadim V. Strijov (AIST (Supplement), 2021)

Bayesian Distillation of Deep Learning Models. - Andrey V. Grabovoy; Vadim V. Strijov (Autom. Remote. Control., 2021)

Opening Remarks by the Program Committee of the Conference "Intelligent Data Processing. Theory and Applications" (IDP-2020). - Konstantin V. Vorontsov; Yuriy I. Zhuravlev; Alexander A. Lazarev; Darya V. Lemtyuzhnikova; Konstantin V. Rudakov; Vadim V. Strizhov; Yulia V. Chekhovich; Yuri V. Chekhovich (Autom. Remote. Control., 2021)

Analysis of the Properties of Probabilistic Models in Expert-Augmented Learning Problems. - A. I. Bazarova; Andrey V. Grabovoy; Vadim V. Strijov (Autom. Remote. Control., 2022)

Gradient Methods for Optimizing Metaparameters in the Knowledge Distillation Problem. - M. Gorpinich; Oleg Yu. Bakhteev; Vadim V. Strijov (Autom. Remote. Control., 2022)

Probabilistic Interpretation of the Distillation Problem. - Andrey V. Grabovoy; Vadim V. Strijov (Autom. Remote. Control., 2022)

Foreword of the Program Committee of the Conference "Mathematical Pattern Recognition Methods". - Konstantin V. Vorontsov; Alexander A. Lazarev; Darya V. Lemtyuzhnikova; Vadim V. Strijov; Yulia V. Chekhovich; Yuri V. Chekhovich (Autom. Remote. Control., 2022)

Quadratic programming feature selection for multicorrelated signal decoding with partial least squares. - R. V. Isachenko; Vadim V. Strijov (Expert Syst. Appl., 2022)

Continuous physical activity recognition for intelligent labour monitoring. - Anastasia Motrenko; Egor Simchuk; Renat Khairullin; Andrey Inyakin; Daniil O. Kashirin; Vadim V. Strijov (Multim. Tools Appl., 2022)

Deep Learning Model Selection With Parametric Complexity Control. - Olga S. Grebenkova; Oleg Yu. Bakhteev; Vadim V. Strijov (ICAART (2), 2023)

Optimal spanning tree reconstruction in symbolic regression. - Radoslav G. Neychev; Innokentiy A. Shibaev; Vadim V. Strijov (CoRR, 2024)