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Publications in Math-Net.Ru |
Citations |
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2024 |
| 1. |
A. Yu. Popkov, Yu. A. Dubnov, Yu. S. Popkov, “Entropy-randomized estimation of nonlinear dynamical model parameters on observation of dependent process”, Chelyab. Fiz.-Mat. Zh., 9:1 (2024), 144–159  |
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2023 |
| 2. |
Yu. A. Dubnov, A. Yu. Popkov, B. S. Darkhovsky, “Estimating the Hölder exponents based on the $\epsilon$-complexity of continuous functions: an experimental analysis of the algorithm”, Avtomat. i Telemekh., 2023, no. 4, 19–34 ; Autom. Remote Control, 84:4 (2023), 377–388 |
| 3. |
Yu. A. Dubnov, A. Yu. Popkov, V. Yu. Polishchuk, E. S. Sokol, A. V. Melnikov, Yu. M. Polishchuk, Yu. S. Popkov, “Randomized machine learning algorithms to forecast the evolution of thermokarst lakes area in permafrost zones”, Avtomat. i Telemekh., 2023, no. 1, 98–120 ; Autom. Remote Control, 84:1 (2023), 64–81 |
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2022 |
| 4. |
A. Yu. Popkov, Yu. A. Dubnov, Yu. S. Popkov, “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  |
| 5. |
A. Popkov, Yu. Dubnov, Yu. Popkov, “Randomized machine learning and forecasting of nonlinear dynamic models applied to SIR epidemiological model”, Informatics and Automation, 21:4 (2022), 659–677 |
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2021 |
| 6. |
A. Yu. Popkov, “Randomized machine learning of nonlinear models with application to forecasting the development of an epidemic process”, Avtomat. i Telemekh., 2021, no. 6, 149–168 ; Autom. Remote Control, 82:6 (2021), 1049–1064   |
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| 7. |
Yu. S. Popkov, Yu. A. Dubnov, A. Yu. Popkov, “Entropy-randomized projection”, Avtomat. i Telemekh., 2021, no. 3, 149–168 ; Autom. Remote Control, 82:3 (2021), 490–505 |
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| 8. |
Yu. A. Dubnov, V. Yu. Polishchuk, A. Yu. Popkov, E. S. Sokol, A. V. Mel'nikov, Yu. M. Polishchuk, Yu. S. Popkov, “Entropine-randomized forecasting of the evolution of the area of thermokarst lakes”, Chelyab. Fiz.-Mat. Zh., 6:3 (2021), 384–396 |
| 9. |
Y. Popkov, Y. Dubnov, A. Popkov, “Forecasting development of COVID-19 epidemic in European Union using entropy-randomized approach”, Informatics and Automation, 20:5 (2021), 1010–1033 |
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2020 |
| 10. |
Yu. S. Popkov, A. Yu. Popkov, Yu. A. Dubnov, “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 ; Autom. Remote Control, 81:7 (2020), 1286–1306 |
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| 11. |
Yu. S. Popkov, A. Yu. Popkov, Yu. A. Dubnov, “Deterministic and randomized methods of entropy projection for dimensionality reduction problems”, Inform. Primen., 14:4 (2020), 47–54 |
| 12. |
Y. S. Popkov, A. Y. Popkov, Y. A. Dubnov, “Cross-entropy reduction of data matrix with restriction on information capacity of projectors and their norms”, Matem. Mod., 32:9 (2020), 35–52 ; Math. Models Comput. Simul., 13:3 (2021), 382–394 |
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2018 |
| 13. |
Yu. S. Popkov, Yu. A. Dubnov, A. Yu. Popkov, “Entropy dimension reduction method for randomized machine learning problems”, Avtomat. i Telemekh., 2018, no. 11, 106–122 ; Autom. Remote Control, 79:11 (2018), 2038–2051 |
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| 14. |
B. S. Darkhovsky, Yu. S. Popkov, A. Yu. Popkov, A. S. Aliev, “A method of generating random vectors with a given probability density function”, Avtomat. i Telemekh., 2018, no. 9, 31–45 ; Autom. Remote Control, 79:9 (2018), 1569–1581 |
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2017 |
| 15. |
A. Yu. Popkov, B. S. Darkhovsky, Yu. S. Popkov, “Iterative MC-algorithm to solve the global optimization problems”, Avtomat. i Telemekh., 2017, no. 2, 82–98 ; Autom. Remote Control, 78:2 (2017), 261–275 |
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2015 |
| 16. |
B. S. Darkhovskii, Yu. S. Popkov, A. Yu. Popkov, “Monte Carlo method of batch iterations: probabilistic characteristics”, Avtomat. i Telemekh., 2015, no. 5, 60–71 ; Autom. Remote Control, 76:5 (2015), 776–785 |
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| 17. |
A. Y. Popkov, D. V. Zubarev, “Parallel implementation of the algorithm for solving entropy-robust estimation problem on heterogeneous computer systems”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2015, no. 4, 51–60 |
| 18. |
Y. S. Popkov, A. Y. Popkov, B. S. Darkhovskiy, “Parallel Monte Carlo for entropy-robust estimation”, Matem. Mod., 27:6 (2015), 14–32  ; Math. Models Comput. Simul., 8:1 (2016), 27–39 |
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| 19. |
A. Yu. Popkov, Yu. S. Popkov, “Parametric and nonparametric estimation for characteristics of randomized models under limited data (entropy approach)”, Matem. Mod., 27:3 (2015), 63–85 |
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2014 |
| 20. |
Yu. S. Popkov, A. Yu. Popkov, Yu. N. Lysak, “Estimating the characteristics of randomized dynamic data models (the entropy-robust approach)”, Avtomat. i Telemekh., 2014, no. 5, 83–90 ; Autom. Remote Control, 75:5 (2014), 872–879 |
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| 21. |
B. S. Darkhovskii, A. Yu. Popkov, Yu. S. Popkov, “Method of Monte Carlo batch iteration to solving by global optimization problems”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2014, no. 3, 39–52 |
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2013 |
| 22. |
Yu. S. Popkov, A. Yu. Popkov, Yu. N. Lysak, “Estimation of characteristics of randomized static models of data (entropy-robust approach)”, Avtomat. i Telemekh., 2013, no. 11, 114–131 ; Autom. Remote Control, 74:11 (2013), 1863–1877 |
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2006 |
| 23. |
A. Yu. Popkov, “Entropy model of the investment portfolio”, Avtomat. i Telemekh., 2006, no. 9, 179–190  ; Autom. Remote Control, 67:9 (2006), 1518–1528 |
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2005 |
| 24. |
A. Yu. Popkov, “Gradient methods for nonstationary unconstrained optimization problems”, Avtomat. i Telemekh., 2005, no. 6, 38–46 ; Autom. Remote Control, 66:6 (2005), 883–891 |
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2002 |
| 25. |
N. A. Bobylev, A. Yu. Popkov, “Forced Oscillations in Systems with $Arg\min$ Type Operators”, Avtomat. i Telemekh., 2002, no. 11, 13–23 ; Autom. Remote Control, 63:11 (2002), 1707–1716 |
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1998 |
| 26. |
A. Yu. Popkov, E. Yu. Popkov, Yu. S. Popkov, “Multiplicative algorithms for reconstructing images from projections”, Avtomat. i Telemekh., 1998, no. 1, 60–77 ; Autom. Remote Control, 59:1 (1998), 49–65 |
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