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Publications in Math-Net.Ru |
Citations |
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2024 |
1. |
O. N. Ivanova, S. Kumar, M. L. Zymbler, E. V. Ivanova, “Classification of multimodal lung disease data based on late fusion of modalities”, Vestn. YuUrGU. Ser. Vych. Matem. Inform., 13:1 (2024), 74–86 |
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2023 |
2. |
Ya. A. Kraeva, M. L. Tsymbler, “Anomaly detection in long time series on high-performance cluster with GPUs”, Num. Meth. Prog., 24:3 (2023), 291–304 |
3. |
M. L. Tsymbler, A. A. Yurtin, “Imputation of missing values of a time series based on joint application of analytical algorithms and neural networks”, Num. Meth. Prog., 24:3 (2023), 243–259 |
4. |
O. N. Ivanova, A. V. Melekhin, E. V. Ivanova, S. Kumar, M. L. Zymbler, “Intermediate fusion approach for pneumonia classification on imbalanced multimodal data”, Vestn. YuUrGU. Ser. Vych. Matem. Inform., 12:3 (2023), 19–30 |
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2022 |
5. |
M. L. Zymbler, A. N. Poluyanov, Ya. A. Kraeva, “Parallel algorithm for real-time sensor data recovery for a many-core processor”, Vestn. YuUrGU. Ser. Vych. Matem. Inform., 11:3 (2022), 69–90 |
6. |
A. I. Goglachev, M. L. Zymbler, “Application of parallel computing for sensor data annotation”, Vestn. YuUrGU. Ser. Vych. Matem. Inform., 11:2 (2022), 30–42 |
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2021 |
7. |
M. L. Tsymbler, A. I. Goglachev, “Discovery of typical subsequences of time series on graphical processor”, Num. Meth. Prog., 22:4 (2021), 344–359 |
8. |
M. L. Tsymbler, V. A. Polonsky, A. A. Yurtin, “On one method of imputation missing values of a streaming time series in real time”, Vestn. YuUrGU. Ser. Vych. Matem. Inform., 10:4 (2021), 5–25 |
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9. |
E. V. Ivanova, M. L. Zymbler, “Embedding of the matrix profile concept into a relational DBMS for time series mining”, Vestn. YuUrGU. Ser. Vych. Matem. Inform., 10:3 (2021), 72–87 |
10. |
M. L. Zymbler, Ya. A. Kraeva, E. A. Latypova, E. V. Ivanova, D. A. Shnayder, A. A. Basalaev, “Cleaning sensor data in intelligent heating control system”, Vestn. YuUrGU. Ser. Vych. Matem. Inform., 10:3 (2021), 16–36 |
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2020 |
11. |
E. V. Ivanova, M. L. Zymbler, “Overview of modern time series management systems”, Vestn. YuUrGU. Ser. Vych. Matem. Inform., 9:4 (2020), 79–97 |
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12. |
S. A. Ivanov, K. Yu. Nikolskaya, G. I. Radchenko, L. B. Sokolinsky, M. L. Zymbler, “Digital twin of a city: concept overview”, Vestn. YuUrGU. Ser. Vych. Matem. Inform., 9:4 (2020), 5–23 |
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13. |
M. L. Zymbler, Ya. A. Kraeva, “Parallel algorithm for time series motif discovery on graphic processor”, Vestn. YuUrGU. Ser. Vych. Matem. Inform., 9:3 (2020), 17–34 |
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2019 |
14. |
M. L. Tsymbler, “A parallel discord discovery algorithm for time series on many-core accelerators”, Num. Meth. Prog., 20:3 (2019), 211–223 |
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15. |
T. V. Rechkalov, M. L. Tsymbler, “A parallel data clustering algorithm for Intel MIC accelerators”, Num. Meth. Prog., 20:2 (2019), 104–115 |
16. |
Ya. A. Kraeva, M. L. Tsymbler, “The use of MPI and OpenMP technologies for subsequence similarity search in very long time series on a computer cluster system with nodes based on the Intel Xeon Phi Knights Landing many-core processor”, Num. Meth. Prog., 20:1 (2019), 29–44 |
17. |
V. S. Zykin, M. L. Zymbler, “Updating of multi-table views based on commutative database transformations”, Vestn. YuUrGU. Ser. Vych. Matem. Inform., 8:2 (2019), 92–106 |
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18. |
M. L. Zymbler, “Overview of methods for integrating data mining into DBMS”, Vestn. YuUrGU. Ser. Vych. Matem. Inform., 8:2 (2019), 32–62 |
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19. |
M. L. Tsymbler, “Parallel frequent itemset mining on the Intel MIC accelerators”, Vestn. YuUrGU. Ser. Vych. Matem. Inform., 8:1 (2019), 54–70 |
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2018 |
20. |
T. V. Rechkalov, M. L. Zymbler, “A parallel algorithm of Euclidean distance matrix computation for the Intel Xeon Phi Knights Landing many-core processor”, Vestn. YuUrGU. Ser. Vych. Matem. Inform., 7:3 (2018), 65–82 |
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2014 |
21. |
D. D. Yantsen, M. L. Zymbler, “Representative sampling algorithm for database systems based on the partitioned parallelism”, Vestn. YuUrGU. Ser. Vych. Matem. Inform., 3:4 (2014), 36–50 |
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2013 |
22. |
R. M. Miniakhmetov, A. A. Rogov, M. L. Zymbler, “The survey of indoor positioning algorithms for mobile devices”, Vestn. YuUrGU. Ser. Vych. Matem. Inform., 2:2 (2013), 83–96 |
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23. |
V. V. Epishev, A. P. Isaev, R. M. Miniakhmetov, A. V. Movchan, A. S. Smirnov, L. B. Sokolinsky, M. L. Zymbler, V. V. Ehrlich, “Physiological data mining system for elite sports”, Vestn. YuUrGU. Ser. Vych. Matem. Inform., 2:1 (2013), 44–54 |
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2012 |
24. |
R. M. Miniakhmetov, M. L. Tsymbler, “Integration of Fuzzy c-Means Clustering algorithm with PostgreSQL database management system”, Num. Meth. Prog., 13:2 (2012), 46–52 |
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25. |
C. S. Pan, M. L. Zymbler, “Development of a parallel Database Management System on the Basis of Open-Source POSTGRESQL DBMS”, Vestnik YuUrGU. Ser. Mat. Model. Progr., 2012, no. 12, 112–120 |
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2010 |
26. |
K. S. Pan, M. L. Zymbler, “A parallel algorithm for market basket analysis on the Cell processor”, Vestnik YuUrGU. Ser. Mat. Model. Progr., 2010, no. 5, 48–57 |
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2003 |
27. |
M. L. Tsymbler, “Поддержка пользовательских типов данных в параллельной СУБД Омега для MBC-100”, Vestnik Chelyabinsk. Gos. Univ., 2003, no. 7, 189–201 |
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1999 |
28. |
L. B. Sokolinskii, M. L. Tsymbler, “Принципы реализации системы
управления файлами в параллельной СУБД Омега для МВС-100”, Vestnik Chelyabinsk. Gos. Univ., 1999, no. 5, 176–199 |
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