RUS  ENG
Full version
PEOPLE

Dubnov Yury Andreevich

Publications in Math-Net.Ru

  1. Entropy estimation of regression models and their application to forecasting the area of thermokarst lakes in the Kola and North Yakut tundra

    Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2025, no. 4,  61–74
  2. Entropy-randomized estimation of nonlinear dynamical model parameters on observation of dependent process

    Chelyab. Fiz.-Mat. Zh., 9:1 (2024),  144–159
  3. Ýêñïåðèìåíòàëüíûé àíàëèç àëãîðèòìà îöåíèâàíèÿ ã¸ëüäåðîâîé ýêñïîíåíòû íà áàçå êîíöåïöèè $\epsilon$-ñëîæíîñòè íåïðåðûâíûõ ôóíêöèé

    Avtomat. i Telemekh., 2023, no. 4,  19–34
  4. Randomized machine learning algorithms to forecast the evolution of thermokarst lakes area in permafrost zones

    Avtomat. i Telemekh., 2023, no. 1,  98–120
  5. Approximate estimation using the accelerated maximum entropy method. Part 2. Study of the properties of estimates

    Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2023, no. 1,  71–81
  6. Approximate estimation using the accelerated maximum entropy method. Part 1. Problem statement and implementation for the regression problem

    Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2022, no. 4,  69–80
  7. Forecasting of COVID-19 dynamics in EU using randomized machine learning applied to dynamic models

    Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2022, no. 3,  67–78
  8. Randomized machine learning and forecasting of nonlinear dynamic models applied to SIR epidemiological model

    Informatics and Automation, 21:4 (2022),  659–677
  9. Entropy-randomized method for the reconstruction of missing data

    Avtomat. i Telemekh., 2021, no. 4,  140–160
  10. Entropy-randomized projection

    Avtomat. i Telemekh., 2021, no. 3,  149–168
  11. Entropine-randomized forecasting of the evolution of the area of thermokarst lakes

    Chelyab. Fiz.-Mat. Zh., 6:3 (2021),  384–396
  12. Forecasting development of COVID-19 epidemic in European Union using entropy-randomized approach

    Informatics and Automation, 20:5 (2021),  1010–1033
  13. Elements of randomized forecasting and its application to daily electrical load prediction in a regional power system

    Avtomat. i Telemekh., 2020, no. 7,  148–172
  14. Deterministic and randomized methods of entropy projection for dimensionality reduction problems

    Inform. Primen., 14:4 (2020),  47–54
  15. Feature selection method based on a probabilistic approach and cross-entropy metric for image recognition problem

    Artificial Intelligence and Decision Making, 2020, no. 2,  78–85
  16. On an approach to tuning the Metropolis–Hastings algorithm for the task of separating a mixture of Gaussian components

    Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2020, no. 1,  25–33
  17. Cross-entropy reduction of data matrix with restriction on information capacity of projectors and their norms

    Mat. Model., 32:9 (2020),  35–52
  18. Entropy-based evaluation in classification problems

    Avtomat. i Telemekh., 2019, no. 3,  138–151
  19. Entropy dimension reduction method for randomized machine learning problems

    Avtomat. i Telemekh., 2018, no. 11,  106–122
  20. On entropic criteria for feature selection in data analysis problems

    Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2018, no. 2,  60–69
  21. Bayesian identification of a Gaussian mixture model

    Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2017, no. 1,  101–111
  22. Entropy-robust randomized forecasting under small sets of retrospective data

    Avtomat. i Telemekh., 2016, no. 5,  109–127


© Steklov Math. Inst. of RAS, 2026