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ORCIDVadim V. Strijov
Person information
- unicode name: Вадим Викторович Стрижов
- affiliation: Moscow Institute of Physics and Technology, Dolgoprudny, Russia
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Journal Articles
- 2022
[j25]A. V. Grabovoy, Vadim V. Strijov:
Probabilistic Interpretation of the Distillation Problem. Autom. Remote. Control. 83(1): 123-137 (2022)- [j24]Konstantin V. Vorontsov, Alexander A. Lazarev, Darya V. Lemtyuzhnikova
, Vadim V. Strijov, Yulia V. Chekhovich, Yuri V. Chekhovich:
Foreword of the Program Committee of the Conference "Mathematical Pattern Recognition Methods". Autom. Remote. Control. 83(10): 1491-1495 (2022) - [j23]A. I. Bazarova, A. V. Grabovoy, Vadim V. Strijov:
Analysis of the Properties of Probabilistic Models in Expert-Augmented Learning Problems. Autom. Remote. Control. 83(10): 1527-1537 (2022) - [j22]M. Gorpinich, Oleg Yu. Bakhteev, Vadim V. Strijov:
Gradient Methods for Optimizing Metaparameters in the Knowledge Distillation Problem. Autom. Remote. Control. 83(10): 1544-1554 (2022) - [j21]R. V. Isachenko, Vadim V. Strijov:
Quadratic programming feature selection for multicorrelated signal decoding with partial least squares. Expert Syst. Appl. 207: 117967 (2022) - [j20]Anastasia Motrenko, Egor Simchuk, Renat Khairullin, Andrey Inyakin, Daniil O. Kashirin, Vadim V. Strijov:
Continuous physical activity recognition for intelligent labour monitoring. Multim. Tools Appl. 81(4): 4877-4895 (2022) - 2021
- [j19]Konstantin V. Vorontsov, Yuriy I. Zhuravlev, Alexander A. Lazarev, Darya V. Lemtyuzhnikova, Konstantin V. Rudakov, Vadim V. Strizhov, Yulia V. Chekhovich, Yuri V. Chekhovich:
Opening Remarks by the Program Committee of the Conference "Intelligent Data Processing. Theory and Applications" (IDP-2020). Autom. Remote. Control. 82(10): 1633-1634 (2021) - [j18]A. V. Grabovoy, Vadim V. Strijov:
Bayesian Distillation of Deep Learning Models. Autom. Remote. Control. 82(11): 1846-1856 (2021) - 2020
- [j17]Oleg Yu. Bakhteev, Vadim V. Strijov:
Comprehensive analysis of gradient-based hyperparameter optimization algorithms. Ann. Oper. Res. 289(1): 51-65 (2020) - 2018
- [j16]Oleg Yu. Bakhteev, Vadim V. Strijov:
Deep Learning Model Selection of Suboptimal Complexity. Autom. Remote. Control. 79(8): 1474-1488 (2018) - [j15]Alexander A. Aduenko, Anastasia Motrenko, Vadim V. Strijov:
Object selection in credit scoring using covariance matrix of parameters estimations. Ann. Oper. Res. 260(1-2): 3-21 (2018) - [j14]Anastasia Motrenko, Vadim V. Strijov:
Multi-way feature selection for ECoG-based Brain-Computer Interface. Expert Syst. Appl. 114: 402-413 (2018) - 2017
- [j13]Konstantin V. Rudakov, Vadim V. Strizhov, Daniil O. Kashirin, Mikhail P. Kuznetsov, Anastasiya P. Motrenko, M. M. Stenina:
Selecting an optimal model for forecasting the volumes of railway goods transportation. Autom. Remote. Control. 78(1): 75-87 (2017) - [j12]Alexandr Katrutsa, Vadim V. Strijov:
Comprehensive study of feature selection methods to solve multicollinearity problem according to evaluation criteria. Expert Syst. Appl. 76: 1-11 (2017) - [j11]A. S. Kulunchakov, Vadim V. Strijov:
Generation of simple structured information retrieval functions by genetic algorithm without stagnation. Expert Syst. Appl. 85: 221-230 (2017) - 2016
- [j10]Mikhail P. Kuznetsov, Aleksandra Tokmakova, Vadim V. Strijov:
Analytic and Stochastic Methods of Structure Parameter Estimation. Informatica 27(3): 607-624 (2016) - [j9]Andrey D. Ignatov, Vadim V. Strijov:
Human activity recognition using quasiperiodic time series collected from a single tri-axial accelerometer. Multim. Tools Appl. 75(12): 7257-7270 (2016) - [j8]Anastasia Motrenko, Vadim V. Strijov:
Extracting Fundamental Periods to Segment Biomedical Signals. IEEE J. Biomed. Health Informatics 20(6): 1466-1476 (2016) - 2015
- [j7]M. M. Stenina, Mikhail P. Kuznetsov, Vadim V. Strijov:
Ordinal classification using Pareto fronts. Expert Syst. Appl. 42(14): 5947-5953 (2015) - [j6]Alexandr Katrutsa, Mikhail P. Kuznetsov, Konstantin V. Rudakov, Vadim V. Strijov:
Metric concentration search procedure using reduced matrix of pairwise distances. Intell. Data Anal. 19(5): 1091-1108 (2015) - [j5]Vadim V. Strijov, Gerhard-Wilhelm Weber, Richard Weber, Süreyya Özögür-Akyüz:
Editorial of the special issue data analysis and intelligent optimization with applications. Mach. Learn. 101(1-3): 1-4 (2015) - 2014
- [j4]Mikhail P. Kuznetsov, Vadim V. Strijov:
Methods of expert estimations concordance for integral quality estimation. Expert Syst. Appl. 41(4): 1988-1996 (2014) - [j3]Anastasiya Motrenko, Vadim V. Strijov, Gerhard-Wilhelm Weber:
Sample size determination for logistic regression. J. Comput. Appl. Math. 255: 743-752 (2014) - 2013
- [j2]Vadim V. Strijov, Ekaterina A. Krymova, Gerhard-Wilhelm Weber:
Evidence optimization for consequently generated models. Math. Comput. Model. 57(1-2): 50-56 (2013) - 2010
- [j1]Vadim V. Strijov, Gerhard-Wilhelm Weber:
Nonlinear regression model generation using hyperparameter optimization. Comput. Math. Appl. 60(4): 981-988 (2010)
Conference and Workshop Papers
- 2023
- [c6]Olga S. Grebenkova, Oleg Yu. Bakhteev, Vadim V. Strijov:
Deep Learning Model Selection With Parametric Complexity Control. ICAART (2) 2023: 65-74 - 2021
- [c5]Konstantin D. Yakovlev, Olga S. Grebenkova, Oleg Yu. Bakhteev, Vadim V. Strijov:
Neural Architecture Search with Structure Complexity Control. AIST (Supplement) 2021: 207-219 - 2019
- [c4]Filipp Nikitin, Vladimir Dokholyan, Ilia Zharikov, Vadim V. Strijov:
U-Net Based Architectures for Document Text Detection and Binarization. ISVC (2) 2019: 79-88 - 2017
- [c3]Yagmur Gizem Cinar, Hamid Mirisaee, Parantapa Goswami, Éric Gaussier, Ali Aït-Bachir, Vadim V. Strijov:
Position-Based Content Attention for Time Series Forecasting with Sequence-to-Sequence RNNs. ICONIP (5) 2017: 533-544 - 2016
- [c2]Mikhail P. Kuznetsov, Anastasia Motrenko, Rita Kuznetsova, Vadim V. Strijov:
Methods for Intrinsic Plagiarism Detection and Author Diarization. CLEF (Working Notes) 2016: 912-919 - 2015
- [c1]Mikhail P. Kuznetsov, Marianne Clausel, Massih-Reza Amini, Éric Gaussier, Vadim V. Strijov:
Supervised Topic Classification for Modeling a Hierarchical Conference Structure. ICONIP (1) 2015: 90-97
Editorship
- 2019
- [e1]Vadim V. Strijov, Dmitry I. Ignatov, Konstantin V. Vorontsov:
Intelligent Data Processing, 11th International Conference, IDP 2016, Barcelona, Spain, October 10-14, 2016, Revised Selected Papers. Communications in Computer and Information Science 794, Springer 2019, ISBN 978-3-030-35399-5 [contents]
Informal and Other Publications
- 2017
- [i1]Yagmur Gizem Cinar, Hamid Mirisaee, Parantapa Goswami, Éric Gaussier, Ali Aït-Bachir, Vadim V. Strijov:
Time Series Forecasting using RNNs: an Extended Attention Mechanism to Model Periods and Handle Missing Values. CoRR abs/1703.10089 (2017)
Coauthor Index
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