Pestryakova Nadezhda Vladimirovna

Publications in Math-Net.Ru

1. Statistical classifier for determining the localization area of oncopathology using a blood test
   
   Keldysh Institute preprints, 2024, 022, 15 pp.
2. Diagnostic medical classifiers
   
   Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2024, no. 3,  16–27
3. Finding the area of localization of oncopathology according to the parameters of the patient's blood
   
   Keldysh Institute preprints, 2023, 024, 14 pp.
4. Statistical classifier for diagnosing oncological diseases
   
   Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2023, no. 1,  39–49
5. Prototype of a decision support system in medical diagnostics based on a statistical approach
   
   Keldysh Institute preprints, 2022, 076, 23 pp.
6. Statistical approach for diagnosing oncological diseases by blood parameters
   
   Keldysh Institute preprints, 2022, 072, 12 pp.
7. On the properties of the classifier in case of small deviations of blood parameters from the norm
   
   Keldysh Institute preprints, 2021, 070, 26 pp.
8. On the properties of the classifier in case of maximal deviations of blood parameters from the norm
   
   Keldysh Institute preprints, 2021, 064, 27 pp.
9. On the properties of the classifier in case of normal blood parameters
   
   Keldysh Institute preprints, 2021, 036, 23 pp.
10. On the properties of the classifier in case of significant deviations of blood parameters from the norm
    
    Keldysh Institute preprints, 2021, 031, 27 pp.
11. On the ability of a statistical classifier to generalize
    
    Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2021, no. 4,  38–50
12. On the stability of the statistical classifier of states of human body systems to distortions in degenerate cases
    
    Keldysh Institute preprints, 2020, 049, 26 pp.
13. On the stability of the statistical classifier of states of human body systems to distortions
    
    Keldysh Institute preprints, 2020, 032, 40 pp.
14. On extrapolation properties of the statistical classifier
    
    Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2020, no. 4,  78–89
15. Statistical method of recognizing on the base of nonlinear regression
    
    Mat. Model., 32:4 (2020),  116–130
16. A research of characteristics of the recognition method
    
    Keldysh Institute preprints, 2019, 148, 12 pp.
17. Computational aspects of the problems of digital nutrition
    
    Keldysh Institute preprints, 2019, 136, 16 pp.
18. Recognition of symbols by the method of polynomial regression
    
    Keldysh Institute preprints, 2019, 124, 14 pp.
19. The structure of the training base of the statistical classifier of the states of the human body systems
    
    Keldysh Institute preprints, 2018, 255, 40 pp.
20. On the structure of the classifier's training base for assessing the state of human health
    
    Keldysh Institute preprints, 2018, 126, 18 pp.
21. On the properties of learning sets
    
    Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2018, no. 4,  97–107
22. About building the feature space in the problem of learning
    
    Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2018, no. 1,  22–29
23. The method of estimating the state of human health
    
    Keldysh Institute preprints, 2017, 008, 18 pp.
24. A research of characteristics of the recognition method on the training set
    
    Keldysh Institute preprints, 2015, 035, 24 pp.
25. Statistical properties of sets of symbols
    
    Keldysh Institute preprints, 2015, 034, 13 pp.
26. Statistical analysis of characteristics of the recognition method on the training set
    
    Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2015, no. 2,  50–67
27. On applicability of methods of recognition to research of statistical properties of sets of symbols
    
    Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2014, no. 4,  25–32
28. About Recognition of the Modified Learning Base. (Part2)
    
    Keldysh Institute preprints, 2010, 013, 16 pp.
29. About Recognition of the Modified Learning Base (Part1)
    
    Keldysh Institute preprints, 2010, 009, 28 pp.
30. Dynamics of the quality of recognition depending on the degree of difference between the bases of learning and of recognition
    
    Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2010, no. 2,  75–82
31. Estimations of recognition and structure of arrangement of images of characters
    
    Keldysh Institute preprints, 2009, 049, 29 pp.
32. Dependence of the quality of recognition of mutual arrangement of average rasters and vectors of bases of learning and recognition
    
    Keldysh Institute preprints, 2009, 019, 29 pp.
33. Structures in recognition
    
    Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2009, no. 1,  58–71
34. Analysis of method of character recognition, based on polynomial regression
    
    Keldysh Institute preprints, 2008, 025, 29 pp.
35. About some properties of estimation of method of character recognition, based on polynomial regression
    
    Keldysh Institute preprints, 2008, 007, 29 pp.
36. About some properties of method of character recognition, based on polynomial regression
    
    Keldysh Institute preprints, 2007, 069, 21 pp.
37. The basic equations for two-fluid electromagnetic hydrodynamics. Part ii. Shock waves
    
    Keldysh Institute preprints, 2007, 030, 27 pp.
38. On a pattern recognition method based on polynomial regression
    
    Avtomat. i Telemekh., 2006, no. 2,  119–134
39. Development of Polynomial Regression in recognition of printed and hand-printed letters
    
    Keldysh Institute preprints, 2006, 025, 22 pp.
40. Polynomial regression in recognition of printed and hand-printed letters
    
    Keldysh Institute preprints, 2004, 022, 12 pp.
41. Numerical Modeling of Convective Heat Transfer in Boundered Region
    
    Keldysh Institute preprints, 1997, 028