Articles in journals
- Yurtin A., Zymbler M. SANNI: Online Imputation of Missing Values
in Multivariate Time Series Based on Deep Learning and Behavioral
Patterns // Lobachevskii Journal of Mathematics. 2024. Vol. 45, No.
11. (accepted for publication) PDF
- Zymbler M., Goglachev A. PaSTiLa: Scalable Parallel Algorithm
for Unsupervised Labeling of Long Time Series // Lobachevskii
Journal of Mathematics. 2024. Vol. 45, No. 3. P. 1333–1347.
PDF DOI:
10.1134/S1995080224600766
WOS:001272973100030
Scopus
- Zymbler M., Kraeva Y. High-Performance Time Series Anomaly
Discovery on Graphics Processors // Mathematics. 2023. Vol. 11, No.
14. Article 3193. PDF DOI:
10.3390/math11143193
WOS:001039018700001
Scopus
- Kraeva Y., Zymbler M. A Parallel Discord Discovery Algorithm for
a Graphics Processor. Pattern Recognition and Image Analysis. 2023.
Vol. 33, No. 2. P. 101–112. PDF DOI:
10.1134/S1054661823020062
WOS:001022883000004
Scopus
- Zymbler M., Goglachev A. Fast Summarization of Long Time Series
with Graphics Processor. Mathematics. 2022. Vol. 10, No. 10. Article
1781. PDF DOI:
10.3390/math10101781 WOS:000801317400001
Scopus
- Mohapatra M., Parida A.K., Mallick P.K., Zymbler M., Kumar S.
Botanical Leaf Disease Detection and Classification Using
Convolutional Neural Network: A Hybrid Metaheuristic Enabled
Approach. Computers. 2022. Vol. 11, No. 5. Article 82. PDF DOI:
10.3390/computers11050082 WOS:000803360000001
- Das A.K., Mishra D.K., Das K., Mallick P.K., Kumar S., Zymbler
M., El-Sayed H. Prophesying the Short-Term Dynamics of the Crude Oil
Future Price by Adopting the Survival of the Fittest Principle of
Improved Grey Optimization and Extreme Learning Machine.
Mathematics. 2022. Vol. 10, No. 7. Article 1121. PDF DOI: 10.3390/math10071121 WOS:000781442300001 Scopus
- Nayak D.R., Padhy N., Mallick P.K., Zymbler M., Kumar S. Brain
Tumor Classification Using Dense Efficient-Net. Axioms. 2022. Vol.
11, No. 1. Article 34. PDF DOI:
10.3390/axioms11010034 WOS:000757035700001 Scopus
- Zymbler M., Ivanova E. Matrix Profile-Based Approach to
Industrial Sensor Data Analysis Inside RDBMS. Mathematics. 2021.
Vol. 9, No. 17. Article 2146. PDF DOI:
10.3390/math9172146 WOS:000694382500001 Scopus
- Pradhan A., Mishra D., Das K., Panda G., Kumar S., Zymbler M. On
the Classification of MR Images Using “ELM-SSA” Coated Hybrid Model.
Mathematics. 2021. Vol. 9, No. 17. Article 2095. PDF DOI:
10.3390/math9172095 WOS:000694331000001 Scopus
- Zymbler M., Grents A., Kraeva Ya., Kumar S. A
Parallel Approach to Discords Discovery in Massive Time Series Data. Computers, Materials & Continua. 2021. Vol. 66, No. 2.
P. 1867–1876. PDF DOI:
10.32604/cmc.2020.014232 WOS:000594856200001 Scopus
- Reddy A.V.N., Krishna C.P., Mallick P.K., Satapathy S.K., Tiwari
P., Zymbler M., Kumar S. Analyzing MRI Scans to Detect Glioblastoma
Tumor Using Hybrid Deep Belief Networks. Journal of Big Data. 2020.
Vol. 7. Article 35. PDF DOI:
10.1186/s40537-020-00311-y WOS:000596096600001 Scopus
- Zymbler M., Kraeva Ya. Discovery of Time Series Motifs on Intel
Many-Core Systems. Lobachevskii Journal of Mathematics. 2019. Vol.
40, No. 12. P. 2124–2132. PDF DOI:
10.1134/S199508021912014X WOS:000514534200013 Scopus
- Kumar S., Tiwari P., Zymbler M. Internet of Things is a
revolutionary approach for future technology enhancement: a review.
Journal of Big Data. 2019. Vol. 6. Article 111. PDF WOS:000599145900001 Scopus DOI:
10.1186/s40537-019-0268-2
- Kumar S., Zymbler M. A Machine Learning Approach to Analyze
Customer Satisfaction from Airline Tweets. Journal of Big Data.
2019. Vol. 6. Article 62. PDF WOS:000599136700001 Scopus DOI:
10.1186/s40537-019-0224-1
- Zymbler M. Parallel Algorithm for Frequent Itemset Mining on
Intel Many-core Systems. Journal of Computing and Information
Technology. 2018. Vol. 26, No. 4. P. 209–221. PDF DOI:
10.20532/cit.2018.1004382 Scopus
- Movchan A.V., Zymbler M.L. Parallel Algorithm for
Local-best-match Time Series Subsequence Similarity Search on the
Intel MIC Architecture. Procedia Computer Science. 2015. Vol. 66. P.
63–72. PDF DOI:
10.1016/j.procs.2015.11.009 WOS:000373782500008 Scopus
- Pan C.S., Zymbler M.L. Encapsulation of Partitioned Parallelism
into Open-Source Database Management Systems. Programming and
Computer Software. 2015. Vol. 41, No. 6. P. 350–360. PDF DOI:
10.1134/S0361768815060067 WOS:000364955300005 Scopus
Papers in proceedings
- Zymbler M., Kraeva Ya., Latypova E., Kumar S., Shnayder D., Basalaev
A. Cleaning Sensor Data in Smart Heating Control System. Proceedings of
2020 Global Smart Industry Conference, GloSIC 2020, Chelyabinsk, Russia,
November 17–19, 2020. P. 375–381. PDF Scopus WOS:000646231600061 DOI: 10.1109/GloSIC50886.2020.9267813
- Ivanov S., Nikolskaya N., Radchenko G., Sokolinsky L., Zymbler
M. Digital Twin of City: Concept Overview. Proceedings of 2020
Global Smart Industry Conference, GloSIC 2020, Chelyabinsk, Russia,
November 17–19, 2020. P. 178–186. PDF Scopus WOS:000646231600029 DOI: 10.1109/GloSIC50886.2020.9267879
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Zymbler M., Kraeva Ya., Grents A., Perkova A., Kumar S. An Approach
to Fuzzy Clustering of Big Data Inside a Parallel Relational DBMS.
21st International Conference on Data Analytics and Management in
Data Intensive Domains, DAMDID/RCDL 2019, Kazan, Russia, October
16–18, 2019, Revised Selected Papers. Communications in Computer and
Information Science. 2020. Vol. 1223. P. 211–223. PDF Scopus DOI:
10.1007/978-3-030-51913-1_14
-
Kumar S., Kraeva Ya., Kraleva R., Zymbler M. A Deep Neural Network
Approach to Predict the Wine Taste Preferences. Intelligent
Computing in Engineering. Select Proceedings of RICE 2019, 4th
International Conference on Research in Intelligent and Computing in
Engineering, August 8–9, 2019, Hanoi, Vietnam. Advances in
Intelligent Systems and Computing. 2020. Vol. 1125. P. 1165–1174. PDF Scopus DOI:
10.1007/978-981-15-2780-7_120
-
Zymbler M., Polyakov A., Kipnis M. Time Series Discord Discovery on
Intel Many-Core Systems. 13th International Conference, PCT 2019,
Kaliningrad, Russia, April 2–4, 2019, Revised Selected Papers.
Communications in Computer and Information Science. 2019. Vol. 1063.
P. 168–182. PDF Scopus WOS:000558285700012 DOI:
10.1007/978-3-030-28163-2_12
-
Kraeva Ya., Zymbler M. Scalable Algorithm for Subsequence Similarity
Search in Very Large Time Series Data on Cluster of Phi KNL. 20th
International Conference on Data Analytics and Management in Data
Intensive Domains, DAMDID/RCDL 2018, Moscow, Russia, October 9–12,
2018, Revised Selected Papers. Communications in Computer and
Information Science. 2019. Vol. 1003. P. 149–164. PDF Scopus DOI:
10.1007/978-3-030-23584-0_9
-
Kraeva Ya., Zymbler M. An Efficient Subsequence Similarity Search on Modern
Intel Many-core Processors for Data Intensive Applications.
Selected Papers of the XX International Conference on Data Analytics
and Management in Data Intensive Domains, DAMDID/RCDL 2018, Moscow,
Russia, October 9–12, 2018. CEUR Workshop Proceedings.
2018. Vol. 2277. P. 143–151. URL PDF Scopus
- Faizullin A., Zymbler M., Lieftucht D., Fanghänel F.
Use of Deep Learning for Sticker Detection
During Continuous Casting. Proceedings of 2018 Global
Smart Industry Conference, GloSIC 2018, Chelyabinsk, Russia,
November 13–15, 2018.
IEEE, 2018. Article no. 8570155. PDF WOS:000462287600095 Scopus DOI: 10.1109/GloSIC.2018.8570155
- Rechkalov T., Zymbler M. A Study of Euclidean Distance Matrix
Computation on Intel Many-Core Processors. 12th International
Conference, PCT 2018, Rostov-on-Don, Russia, April 2–6, 2018,
Revised Selected Papers. Communications in Computer and Information
Science. 2018. Vol. 910. P. 200–215. PDF DOI:
10.1007/978-3-319-99673-8_15 WOS:000521733800015 Scopus
- Rechkalov T., Zymbler M. Integrating DBMS and Parallel Data
Mining Algorithms for Modern Many-Core Processors. 19th
International Conference on Data Analytics and Management in Data
Intensive Domains, DAMDID/RCDL 2017, Moscow, Russia, October 10–13,
2017, Revised Selected Papers. Communications in Computer and
Information Science. 2018. Vol. 822. P. 230–245. PDF DOI:
10.1007/978-3-319-96553-6_17 Scopus
- Rechkalov T., Zymbler M. An Approach to Data Mining Inside
PostgreSQL Based on Parallel Implementation of UDFs. Selected Papers
of the XIX International Conference on Data Analytics and Management
in Data Intensive Domains (DAMDID/RCDL 2017), Moscow, Russia,
October 9–13, 2017. CEUR Workshop Proceedings. 2017. Vol. 2022. P.
114–121. URL PDF Scopus
- Zymbler M. Accelerating Dynamic Itemset Counting on Intel
Many-core Systems. Proceedings of the 40th International Convention
on Information and Communication Technology, Electronics and
Microelectronics, MIPRO'2017, Opatija, Croatia, May 22–26, 2017.
IEEE, 2017. P. 1575–1580. PDF DOI:
10.23919/MIPRO.2017.7973631 WOS:000426903800234 Scopus
- Movchan A.V., Zymbler M.L. Parallel Implementation of Searching
the Most Similar Subsequence in Time Series for Computer Systems
with Distributed Memory. Proceedings of the 10th Annual
International Scientific Conference on Parallel Computing
Technologies (PCT 2016). Arkhangelsk, Russia, March 29–31, 2016.
CEUR Workshop Proceedings. 2016. Vol. 1576. P. 615–628. URL PDF Scopus
- Rechkalov T.V., Zymbler M.L. Accelerating Medoids-based
Clustering with the Intel Many Integrated Core Architecture.
Proceedings of the 9th International Conference on Application of
Information and Communication Technologies (AICT'2015), October
14–16, 2015, Rostov-on-Don, Russia. IEEE, 2015. P. 413–417. PDF DOI:
10.1109/ICAICT.2015.7338591 WOS:000380404000088 Scopus
- Miniakhmetova M.S., Zymbler M.L. An Approach to Personalized
Video Summarization Based on User Preferences Analysis. Proceedings
of the 9th International Conference on Application of Information
and Communication Technologies (AICT'2015), October 14–16, 2015,
Rostov-on-Don, Russia. IEEE, 2015. P. 153–155. PDF DOI:
10.1109/ICAICT.2015.7338536 WOS:000380404000033 Scopus
- Movchan A.V., Zymbler M.L. Time Series Subsequence Similarity
Search Under Dynamic Time Warping Distance on the Intel Many-core
Accelerators. Proceedings of the 8th International Conference on
Similarity Search and Applications, SISAP 2015 (Glasgow, Scotland,
UK, October 12–14, 2015). Lecture Notes in Computer Science. Vol.
9371. Springer, 2015. P. 295–306. PDF DOI: 10.1007/978-3-319-25087-8_28 WOS:000374289600028 Scopus
- Movchan A.V., Zymbler M.L. Parallel algorithm for
local-best-match time series subsequence similarity search on the
Intel MIC architecture. Proceedings of the 1st Russian Conference on
Supercomputing - Supercomputing Days (RuSCDays 2015). Moscow,
Russian Federation, September 28–29, 2015. CEUR Workshop
Proceedings. 2015. Vol. 1482. P. 332–343. URL PDF Scopus
- Zymbler M.L. Best-match Time Series Subsequence Search on the
Intel Many Integrated Core Architecture. Proceedings of the 19th
East-European Conference on Advances in Databases and Information
Systems, ADBIS 2015 (Poitiers, France, September 8–11, 2015).
Lecture Notes in Computer Science. Vol. 9282. Springer, 2015. P.
275–286. PDF DOI: 10.1007/978-3-319-23135-8_19 WOS:000364683000023 Scopus
- Miniakhmetov R.M., Movchan A.V., Zymbler M.L. Accelerating Time
Series Subsequence Matching on the Intel Xeon Phi Many-core
Coprocessor. Proceedings of the 38th International Convention on
Information and Communication Technology, Electronics and
Microelectronics, MIPRO'2015, Opatija, Croatia, May 25–29, 2015.
IEEE, 2015. P. 1675–1680. PDF DOI: 10.1109/MIPRO.2015.7160493 Scopus WOS:000380405300217
- Pan C.S., Zymbler M.L. Very Large Graph Partitioning by Means of
Parallel DBMS. Proceedings of the 17th East-European Conference on
Advances in Databases and Information Systems, ADBIS 2013 (Genoa,
Italy, September 1–4, 2013). Lecture Notes in Computer Science.
2013. Vol. 8133. Springer, 2013. P. 388–399. PDF DOI:
10.1007/978-3-642-40683-6_29 Scopus
- Pan C.S., Zymbler M.L. Taming Elephants, or How to Embed
Parallelism into PostgreSQL. Proceedings of the Database and Expert
Systems Applications – 24th International Conference, DEXA
2013 (Prague, Czech Republic, August 26–29, 2013). Lecture Notes in
Computer Science. 2013. Vol. 8055. Part I. Springer, 2013. P.
153–164. PDF DOI: 10.1007/978-3-642-40285-2_15 Scopus
Editorial activity
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Special Issue "Parallel Computing and Applications",
Mathematics.
2022. Vol. 10, No. 10.
-
Special Issue "Intelligent Computing in Industry Applications",
Mathematics.
2021. Vol. 9, No. 17.
-
Parallel Computational Technologies 2023. Communications in Computer and
Information Science. 2023. Vol. 1868
-
Parallel Computational Technologies 2022. Communications in Computer and
Information Science. 2022. Vol. 1618
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Parallel Computational Technologies 2021. Communications in Computer and
Information Science. 2021. Vol. 1437
- Parallel
Computational Technologies 2020. Communications in Computer and
Information Science. 2020. Vol. 1263
- Parallel
Computational Technologies 2019. Communications in Computer and
Information Science. 2019. Vol. 1063
- Parallel
Computational Technologies 2018. Communications in Computer and
Information Science. 2018. Vol. 910
- Parallel
Computational Technologies 2017. Communications in Computer and
Information Science. 2017. Vol. 753
Modified:
02.10.2024,
© Mikhail Zymbler