Strijov Vadim

Publications in Math-Net.Ru

1. Optimal spanning tree reconstruction in symbolic regression
   
   Inform. Primen., 17:1 (2023),  35–42
2. Gradient methods for optimizing metaparameters in the knowledge distillation problem
   
   Avtomat. i Telemekh., 2022, no. 10,  67–79
3. Analysis of the properties of probabilistic models in expert-augmented learning problems
   
   Avtomat. i Telemekh., 2022, no. 10,  47–59
4. Probabilistic interpretation of the distillation problem
   
   Avtomat. i Telemekh., 2022, no. 1,  150–168
5. Classification models for P300 evoked potentials
   
   Sistemy i Sredstva Inform., 32:3 (2022),  36–49
6. Bayesian distillation of deep learning models
   
   Avtomat. i Telemekh., 2021, no. 11,  16–29
7. Variational deep learning model optimization with complexity control
   
   Inform. Primen., 15:1 (2021),  42–49
8. Concordant models for latent space projections in forecasting
   
   Sistemy i Sredstva Inform., 31:1 (2021),  4–16
9. Prior distribution selection for a mixture of experts
   
   Zh. Vychisl. Mat. Mat. Fiz., 61:7 (2021),  1149–1161
10. Deep learning neural network structure optimization
    
    Inform. Primen., 14:4 (2020),  55–62
11. Ordering the set of neural network parameters
    
    Inform. Primen., 14:2 (2020),  58–65
12. Alignment of ordered set cartesian product
    
    Inform. Primen., 14:1 (2020),  31–39
13. Estimation of the relevance of the neural network parameters
    
    Inform. Primen., 13:2 (2019),  62–70
14. Local approximation models for human physical activity classification
    
    Inform. Primen., 13:1 (2019),  40–48
15. Models of detection relationship between time series in forecasting problems
    
    Sistemy i Sredstva Inform., 29:2 (2019),  12–30
16. Deep learning model selection of suboptimal complexity
    
    Avtomat. i Telemekh., 2018, no. 8,  129–147
17. Optimal recurrent neural network model in paraphrase detection
    
    Inform. Primen., 12:4 (2018),  63–69
18. Feature generation for physical activity classification
    
    Artificial Intelligence and Decision Making, 2018, no. 3,  20–27
19. Detection of persistent scatterer pairs on satellite radar images with use of surface relief data
    
    Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2018, no. 2,  29–43
20. Analysis of relationships between indicators in forecasting cargo transportation
    
    Sistemy i Sredstva Inform., 28:3 (2018),  86–103
21. Selecting an optimal model for forecasting the volumes of railway goods transportation
    
    Avtomat. i Telemekh., 2017, no. 1,  91–105
22. Improving classification quality for the task of finding intrinsic plagiarism
    
    Inform. Primen., 11:3 (2017),  60–72
23. Generation of expertly-interpreted models for prediction of core permeability
    
    Sistemy i Sredstva Inform., 27:3 (2017),  74–87
24. Feature-based time-series classification
    
    Inform. Primen., 10:4 (2016),  121–131
25. Metric learning in multiclass time series classification problem
    
    Inform. Primen., 10:2 (2016),  48–57
26. Metric time series classification using weighted dynamic warping relative to centroids of classes
    
    Inform. Primen., 10:2 (2016),  36–47
27. Systems and means of deep learning for classification problems
    
    Sistemy i Sredstva Inform., 26:2 (2016),  4–22
28. Algorithms of detection and registration of persistent scatterers in satellite radar images
    
    Computer Optics, 39:4 (2015),  622–630
29. Terrain objects movement detection using SAR interferometry
    
    Computer Research and Modeling, 7:5 (2015),  1047–1060
30. Forecasts reconciliation for hierarchical time series forecasting problem
    
    Inform. Primen., 9:2 (2015),  75–87
31. Selection of optimal physical activity classification model using measurements of accelerometer
    
    Inform. Primen., 9:1 (2015),  76–86
32. Metric time series classification using dynamic warping relative to centroids of classes
    
    Sistemy i Sredstva Inform., 25:4 (2015),  52–64
33. Building superposition of deep learning neural networks for solving the problem of time series classification
    
    Sistemy i Sredstva Inform., 25:3 (2015),  60–77
34. Large capacity of railway cargo transportation forecasting
    
    Sistemy i Sredstva Inform., 25:1 (2015),  142–154
35. Obtaining an aggregated forecast of railway freight transportation using Kullback–Leibler distance
    
    Inform. Primen., 8:2 (2014),  86–97
36. Reconciliation of aggregated and disaggregated time series forecasts in nonparametric forecasting problems
    
    Sistemy i Sredstva Inform., 24:2 (2014),  23–36
37. Algorithms for inductive generation of superpositions for approximation of experimental data
    
    Inform. Primen., 7:1 (2013),  44–53
38. Estimation of linear model hyperparameters for noise or correlated feature selection problem
    
    Inform. Primen., 6:4 (2012),  66–75
39. Rank-scaled metric clustering of amino-acid sequences
    
    Mat. Biolog. Bioinform., 7:1 (2012),  345–359


40. Foreword of the program committee of the conference “Mathematical pattern recognition methods”
    
    Avtomat. i Telemekh., 2022, no. 10,  3–8
41. Opening remarks by the Program Committee of the Conference “Intelligent Data Processing. Theory and Applications” (IDP-2020)
    
    Avtomat. i Telemekh., 2021, no. 10,  3–5