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Pestryakova, Nadezhda Vladimirovna
Statistics Math-Net.Ru
Total publications: 41
Scientific articles: 41

Number of views:
This page:342
Abstract pages:3780
Full texts:1600
References:472
Candidate of physico-mathematical sciences
E-mail:

https://www.mathnet.ru/eng/person62039
List of publications on Google Scholar
https://zbmath.org/authors/?q=ai:pestryakova.n-v
https://mathscinet.ams.org/mathscinet/MRAuthorID/780964
https://orcid.org/0000-0002-7227-2094

Publications in Math-Net.Ru Citations
2024
1. B. M. Gavrikov, M. B. Gavrikov, I. M. Lebedenko, N. V. Pestryakova, “Statistical classifier for determining the localization area of oncopathology using a blood test”, Keldysh Institute preprints, 2024, 022, 15 pp.  mathnet
2. B. M. Gavrikov, N. V. Pestryakova, “Diagnostic medical classifiers”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2024, no. 3,  16–27  mathnet
2023
3. B. M. Gavrikov, M. B. Gavrikov, I. M. Lebedenko, N. V. Pestryakova, “Finding the area of localization of oncopathology according to the parameters of the patient's blood”, Keldysh Institute preprints, 2023, 024, 14 pp.  mathnet 2
4. B. M. Gavrikov, N. V. Pestryakova, “Statistical classifier for diagnosing oncological diseases”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2023, no. 1,  39–49  mathnet  elib
2022
5. B. M. Gavrikov, M. B. Gavrikov, N. V. Pestryakova, “Prototype of a decision support system in medical diagnostics based on a statistical approach”, Keldysh Institute preprints, 2022, 076, 23 pp.  mathnet
6. B. M. Gavrikov, M. B. Gavrikov, N. V. Pestryakova, “Statistical approach for diagnosing oncological diseases by blood parameters”, Keldysh Institute preprints, 2022, 072, 12 pp.  mathnet 3
2021
7. B. M. Gavrikov, M. B. Gavrikov, N. V. Pestryakova, “On the properties of the classifier in case of small deviations of blood parameters from the norm”, Keldysh Institute preprints, 2021, 070, 26 pp.  mathnet  elib
8. B. M. Gavrikov, M. B. Gavrikov, N. V. Pestryakova, “On the properties of the classifier in case of maximal deviations of blood parameters from the norm”, Keldysh Institute preprints, 2021, 064, 27 pp.  mathnet  elib 1
9. B. M. Gavrikov, M. B. Gavrikov, N. V. Pestryakova, “On the properties of the classifier in case of normal blood parameters”, Keldysh Institute preprints, 2021, 036, 23 pp.  mathnet  elib 2
10. B. M. Gavrikov, M. B. Gavrikov, N. V. Pestryakova, “On the properties of the classifier in case of significant deviations of blood parameters from the norm”, Keldysh Institute preprints, 2021, 031, 27 pp.  mathnet  elib 3
11. B. M. Gavrikov, M. B. Gavrikov, N. V. Pestryakova, “On the ability of a statistical classifier to generalize”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2021, no. 4,  38–50  mathnet  elib 4
2020
12. B. M. Gavrikov, M. B. Gavrikov, N. V. Pestryakova, “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.  mathnet  elib 2
13. B. M. Gavrikov, M. B. Gavrikov, N. V. Pestryakova, “On the stability of the statistical classifier of states of human body systems to distortions”, Keldysh Institute preprints, 2020, 032, 40 pp.  mathnet  elib 3
14. B. M. Gavrikov, N. V. Pestryakova, “On extrapolation properties of the statistical classifier”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2020, no. 4,  78–89  mathnet  elib 3
15. B. M. Gavrikov, M. B. Gavrikov, N. V. Pestryakova, “Statistical method of recognizing on the base of nonlinear regression”, Matem. Mod., 32:4 (2020),  116–130  mathnet; Math. Models Comput. Simul., 12:6 (2020), 996–1004 10
2019
16. M. B. Gavrikov, N. V. Pestryakova, “A research of characteristics of the recognition method”, Keldysh Institute preprints, 2019, 148, 12 pp.  mathnet  elib
17. M. B. Gavrikov, A. A. Kislitsyn, Yu. N. Orlov, N. V. Pestryakova, “Computational aspects of the problems of digital nutrition”, Keldysh Institute preprints, 2019, 136, 16 pp.  mathnet 1
18. M. B. Gavrikov, N. V. Pestryakova, “Recognition of symbols by the method of polynomial regression”, Keldysh Institute preprints, 2019, 124, 14 pp.  mathnet
2018
19. B. M. Gavrikov, M. B. Gavrikov, N. V. Pestryakova, R. V. Stavitskii, “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.  mathnet  elib 9
20. B. M. Gavrikov, M. B. Gavrikov, N. V. Pestryakova, “On the structure of the classifier's training base for assessing the state of human health”, Keldysh Institute preprints, 2018, 126, 18 pp.  mathnet  elib 7
21. B. M. Gavrikov, N. V. Pestryakova, R. V. Stavitskii, “On the properties of learning sets”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2018, no. 4,  97–107  mathnet  elib 5
22. B. M. Gavrikov, N. V. Pestryakova, “About building the feature space in the problem of learning”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2018, no. 1,  22–29  mathnet  elib
2017
23. B. M. Gavrikov, M. B. Gavrikov, I. M. Lebedenko, N. V. Pestryakova, R. V. Stavitskii, “The method of estimating the state of human health”, Keldysh Institute preprints, 2017, 008, 18 pp.  mathnet 1
2015
24. B. M. Gavrikov, M. B. Gavrikov, N. V. Pestryakova, “A research of characteristics of the recognition method on the training set”, Keldysh Institute preprints, 2015, 035, 24 pp.  mathnet
25. B. M. Gavrikov, M. B. Gavrikov, N. V. Pestryakova, “Statistical properties of sets of symbols”, Keldysh Institute preprints, 2015, 034, 13 pp.  mathnet
26. B. M. Gavrikov, M. B. Gavrikov, N. V. Pestryakova, “Statistical analysis of characteristics of the recognition method on the training set”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2015, no. 2,  50–67  mathnet
2014
27. M. B. Gavrikov, N. V. Pestryakova, “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  mathnet
2010
28. M. B. Gavrikov, N. V. Pestryakova, A. V. Uskov, V. V. Farsobina, “About Recognition of the Modified Learning Base. (Part2)”, Keldysh Institute preprints, 2010, 013, 16 pp.  mathnet
29. M. B. Gavrikov, N. V. Pestryakova, A. V. Uskov, V. V. Farsobina, “About Recognition of the Modified Learning Base (Part1)”, Keldysh Institute preprints, 2010, 009, 28 pp.  mathnet
30. N. V. Pestryakova, “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  mathnet
2009
31. M. B. Gavrikov, N. V. Pestryakova, A. V. Uskov, V. V. Farsobina, “Estimations of recognition and structure of arrangement of images of characters”, Keldysh Institute preprints, 2009, 049, 29 pp.  mathnet
32. M. B. Gavrikov, N. V. Pestryakova, A. V. Uskov, V. V. Farsobina, “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.  mathnet 1
33. N. V. Pestryakova, “Structures in recognition”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2009, no. 1,  58–71  mathnet  elib
2008
34. M. B. Gavrikov, N. V. Pestryakova, A. V. Uskov, V. V. Farsobina, “Analysis of method of character recognition, based on polynomial regression”, Keldysh Institute preprints, 2008, 025, 29 pp.  mathnet 4
35. M. B. Gavrikov, N. V. Pestryakova, A. V. Uskov, V. V. Farsobina, “About some properties of estimation of method of character recognition, based on polynomial regression”, Keldysh Institute preprints, 2008, 007, 29 pp.  mathnet 4
2007
36. M. B. Gavrikov, N. V. Pestryakova, A. V. Uskov, V. V. Farsobina, “About some properties of method of character recognition, based on polynomial regression”, Keldysh Institute preprints, 2007, 069, 21 pp.  mathnet 5
37. M. B. Gavrikov, M. S. Mikhailova, N. V. Pestryakova, “The basic equations for two-fluid electromagnetic hydrodynamics. Part ii. Shock waves”, Keldysh Institute preprints, 2007, 030, 27 pp.  mathnet
2006
38. M. B. Gavrikov, A. V. Misyurev, N. V. Pestryakova, O. A. Slavin, “On a pattern recognition method based on polynomial regression”, Avtomat. i Telemekh., 2006, no. 2,  119–134  mathnet  mathscinet  zmath; Autom. Remote Control, 67:2 (2006), 278–292  scopus 16
39. M. B. Gavrikov, N. V. Pestryakova, O. A. Slavin, V. V. Farsobina, “Development of Polynomial Regression in recognition of printed and hand-printed letters”, Keldysh Institute preprints, 2006, 025, 22 pp.  mathnet 6
2004
40. M. B. Gavrikov, N. V. Pestryakova, “Polynomial regression in recognition of printed and hand-printed letters”, Keldysh Institute preprints, 2004, 022, 12 pp.  mathnet 14
1997
41. M. B. Gavrikov, N. V. Pestryakova, “Numerical Modeling of Convective Heat Transfer in Boundered Region”, Keldysh Institute preprints, 1997, 028  mathnet

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