Vadim V. Strijov

Orcid: 0000-0002-2194-8859

Affiliations:
  • Moscow Institute of Physics and Technology, Dolgoprudny, Russia


According to our database1, Vadim V. Strijov authored at least 33 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Optimal spanning tree reconstruction in symbolic regression.
CoRR, 2024

2023
Deep Learning Model Selection With Parametric Complexity Control.
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

2022
Continuous physical activity recognition for intelligent labour monitoring.
Multim. Tools Appl., 2022

Quadratic programming feature selection for multicorrelated signal decoding with partial least squares.
Expert Syst. Appl., 2022

Foreword of the Program Committee of the Conference "Mathematical Pattern Recognition Methods".
Autom. Remote. Control., 2022

Probabilistic Interpretation of the Distillation Problem.
Autom. Remote. Control., 2022

Gradient Methods for Optimizing Metaparameters in the Knowledge Distillation Problem.
Autom. Remote. Control., 2022

Analysis of the Properties of Probabilistic Models in Expert-Augmented Learning Problems.
Autom. Remote. Control., 2022

2021
Opening Remarks by the Program Committee of the Conference "Intelligent Data Processing. Theory and Applications" (IDP-2020).
Autom. Remote. Control., 2021

Bayesian Distillation of Deep Learning Models.
Autom. Remote. Control., 2021

Neural Architecture Search with Structure Complexity Control.
Proceedings of the Recent Trends in Analysis of Images, Social Networks and Texts, 2021

2020
Comprehensive analysis of gradient-based hyperparameter optimization algorithms.
Ann. Oper. Res., 2020

2019
U-Net Based Architectures for Document Text Detection and Binarization.
Proceedings of the Advances in Visual Computing, 2019

2018
Multi-way feature selection for ECoG-based Brain-Computer Interface.
Expert Syst. Appl., 2018

Object selection in credit scoring using covariance matrix of parameters estimations.
Ann. Oper. Res., 2018

Deep Learning Model Selection of Suboptimal Complexity.
Autom. Remote. Control., 2018

2017
Generation of simple structured information retrieval functions by genetic algorithm without stagnation.
Expert Syst. Appl., 2017

Comprehensive study of feature selection methods to solve multicollinearity problem according to evaluation criteria.
Expert Syst. Appl., 2017

Time Series Forecasting using RNNs: an Extended Attention Mechanism to Model Periods and Handle Missing Values.
CoRR, 2017

Selecting an optimal model for forecasting the volumes of railway goods transportation.
Autom. Remote. Control., 2017

Position-Based Content Attention for Time Series Forecasting with Sequence-to-Sequence RNNs.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016
Extracting Fundamental Periods to Segment Biomedical Signals.
IEEE J. Biomed. Health Informatics, 2016

Human activity recognition using quasiperiodic time series collected from a single tri-axial accelerometer.
Multim. Tools Appl., 2016

Analytic and Stochastic Methods of Structure Parameter Estimation.
Informatica, 2016

Methods for Intrinsic Plagiarism Detection and Author Diarization.
Proceedings of the Working Notes of CLEF 2016, 2016

2015
Editorial of the special issue data analysis and intelligent optimization with applications.
Mach. Learn., 2015

Metric concentration search procedure using reduced matrix of pairwise distances.
Intell. Data Anal., 2015

Ordinal classification using Pareto fronts.
Expert Syst. Appl., 2015

Supervised Topic Classification for Modeling a Hierarchical Conference Structure.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014
Sample size determination for logistic regression.
J. Comput. Appl. Math., 2014

Methods of expert estimations concordance for integral quality estimation.
Expert Syst. Appl., 2014

2013
Evidence optimization for consequently generated models.
Math. Comput. Model., 2013

2010
Nonlinear regression model generation using hyperparameter optimization.
Comput. Math. Appl., 2010


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