Tsymbler Mikhail Leonidovich

Publications in Math-Net.Ru

1. Classification of multimodal lung disease data based on late fusion of modalities
   
   Vestn. YuUrGU. Ser. Vych. Matem. Inform., 13:1 (2024),  74–86
2. Anomaly detection in long time series on high-performance cluster with GPUs
   
   Num. Meth. Prog., 24:3 (2023),  291–304
3. 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. Intermediate fusion approach for pneumonia classification on imbalanced multimodal data
   
   Vestn. YuUrGU. Ser. Vych. Matem. Inform., 12:3 (2023),  19–30
5. 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. Application of parallel computing for sensor data annotation
   
   Vestn. YuUrGU. Ser. Vych. Matem. Inform., 11:2 (2022),  30–42
7. Discovery of typical subsequences of time series on graphical processor
   
   Num. Meth. Prog., 22:4 (2021),  344–359
8. 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
9. 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. Cleaning sensor data in intelligent heating control system
    
    Vestn. YuUrGU. Ser. Vych. Matem. Inform., 10:3 (2021),  16–36
11. Overview of modern time series management systems
    
    Vestn. YuUrGU. Ser. Vych. Matem. Inform., 9:4 (2020),  79–97
12. Digital twin of a city: concept overview
    
    Vestn. YuUrGU. Ser. Vych. Matem. Inform., 9:4 (2020),  5–23
13. Parallel algorithm for time series motif discovery on graphic processor
    
    Vestn. YuUrGU. Ser. Vych. Matem. Inform., 9:3 (2020),  17–34
14. A parallel discord discovery algorithm for time series on many-core accelerators
    
    Num. Meth. Prog., 20:3 (2019),  211–223
15. A parallel data clustering algorithm for Intel MIC accelerators
    
    Num. Meth. Prog., 20:2 (2019),  104–115
16. 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. Updating of multi-table views based on commutative database transformations
    
    Vestn. YuUrGU. Ser. Vych. Matem. Inform., 8:2 (2019),  92–106
18. Overview of methods for integrating data mining into DBMS
    
    Vestn. YuUrGU. Ser. Vych. Matem. Inform., 8:2 (2019),  32–62
19. Parallel frequent itemset mining on the Intel MIC accelerators
    
    Vestn. YuUrGU. Ser. Vych. Matem. Inform., 8:1 (2019),  54–70
20. 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
21. Representative sampling algorithm for database systems based on the partitioned parallelism
    
    Vestn. YuUrGU. Ser. Vych. Matem. Inform., 3:4 (2014),  36–50
22. The survey of indoor positioning algorithms for mobile devices
    
    Vestn. YuUrGU. Ser. Vych. Matem. Inform., 2:2 (2013),  83–96
23. Physiological data mining system for elite sports
    
    Vestn. YuUrGU. Ser. Vych. Matem. Inform., 2:1 (2013),  44–54
24. Integration of Fuzzy c-Means Clustering algorithm with PostgreSQL database management system
    
    Num. Meth. Prog., 13:2 (2012),  46–52
25. 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
26. A parallel algorithm for market basket analysis on the Cell processor
    
    Vestnik YuUrGU. Ser. Mat. Model. Progr., 2010, no. 5,  48–57
27. Поддержка пользовательских типов данных в параллельной СУБД Омега для MBC-100
    
    Vestnik Chelyabinsk. Gos. Univ., 2003, no. 7,  189–201
28. Принципы реализации системы управления файлами в параллельной СУБД Омега для МВС-100
    
    Vestnik Chelyabinsk. Gos. Univ., 1999, no. 5,  176–199