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ORCIDMikhail L. Zymbler
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2020 – today
- 2023
[i4]Mikhail L. Zymbler, Yana Kraeva:
High-performance Time Series Anomaly Discovery on Graphics Processors. CoRR abs/2304.01660 (2023)- 2022
- [j8]Dillip Ranjan Nayak
, Neelamadhab Padhy, Pradeep Kumar Mallick, Mikhail L. Zymbler, Sachin Kumar:
Brain Tumor Classification Using Dense Efficient-Net. Axioms 11(1): 34 (2022) - [j7]Swaty Dash, Pradip Kumar Sahu, Debahuti Mishra, Pradeep Kumar Mallick, Bharti Sharma, Mikhail L. Zymbler, Sachin Kumar:
A Novel Algorithmic Forex Trade and Trend Analysis Framework Based on Deep Predictive Coding Network Optimized with Reptile Search Algorithm. Axioms 11(8): 396 (2022) - [j6]Madhumini Mohapatra, Ami Kumar Parida, Pradeep Kumar Mallick, Mikhail L. Zymbler, Sachin Kumar:
Botanical Leaf Disease Detection and Classification Using Convolutional Neural Network: A Hybrid Metaheuristic Enabled Approach. Comput. 11(5): 82 (2022) - 2020
- [j5]Annapareddy V. N. Reddy, Ch. Phani Krishna, Pradeep Kumar Mallick, Sandeep Kumar Satapathy, Prayag Tiwari, Mikhail L. Zymbler, Sachin Kumar:
Analyzing MRI scans to detect glioblastoma tumor using hybrid deep belief networks. J. Big Data 7(1): 35 (2020)
2010 – 2019
- 2019
- [j4]Sachin Kumar, Mikhail L. Zymbler:
A machine learning approach to analyze customer satisfaction from airline tweets. J. Big Data 6: 62 (2019) - [j3]Sachin Kumar, Prayag Tiwari, Mikhail L. Zymbler:
Internet of Things is a revolutionary approach for future technology enhancement: a review. J. Big Data 6: 111 (2019) - [c12]Mikhail L. Zymbler, Sachin Kumar, Yana Kraeva, Alexander Grents, Anastasiya Perkova:
Big Data Processing and Analytics Inside DBMS. DAMDID/RCDL 2019: 21 - [c11]Mikhail L. Zymbler, Yana Kraeva, Alexander Grents, Anastasiya Perkova, Sachin Kumar:
An Approach to Fuzzy Clustering of Big Data Inside a Parallel Relational DBMS. DAMDID/RCDL (Selected Papers) 2019: 211-223 - [i3]Andrey Polyakov, Mikhail L. Zymbler:
Parallel Algorithm for Time Series Discords Discovery on the Intel Xeon Phi Knights Landing Many-core Processor. CoRR abs/1901.00155 (2019) - 2018
- [j2]Mikhail L. Zymbler:
Parallel Algorithm for Frequent Itemset Mining on Intel Many-core Systems. J. Comput. Inf. Technol. 26(4): 209-221 (2018) - [c10]Yana Kraeva, Mikhail L. Zymbler:
An Efficient Subsequence Similarity Search on Modern Intel Many-core Processors for Data Intensive Applications. DAMDID/RCDL 2018: 143-151 - [c9]Yana Kraeva, Mikhail L. Zymbler:
Scalable Algorithm for Subsequence Similarity Search in Very Large Time Series Data on Cluster of Phi KNL. DAMDID/RCDL (Selected Papers) 2018: 149-164 - [i2]Yana Kraeva, Mikhail L. Zymbler:
The Use of MPI and OpenMP Technologies for Subsequence Similarity Search in Very Large Time Series on Computer Cluster System with Nodes Based on the Intel Xeon Phi Knights Landing Many-core Processor. CoRR abs/1812.10302 (2018) - [i1]Mikhail L. Zymbler:
Parallel Algorithm for Frequent Itemset Mining on Intel Many-core Systems. CoRR abs/1812.10959 (2018) - 2017
- [c8]Mikhail L. Zymbler:
Accelerating Dynamic Itemset Counting on Intel many-core systems. MIPRO 2017: 1343-1348 - [c7]Timofey Rechkalov, Mikhail L. Zymbler:
An Approach to Data Mining inside PostgreSQL Based on Parallel Implementation of UDFs. DAMDID/RCDL 2017: 114-121 - [c6]Timofey Rechkalov, Mikhail L. Zymbler:
Integrating DBMS and Parallel Data Mining Algorithms for Modern Many-Core Processors. DAMDID/RCDL (Selected Papers) 2017: 230-245 - 2015
- [j1]Constantin S. Pan, Mikhail L. Zymbler:
Encapsulation of partitioned parallelism into open-source database management systems. Program. Comput. Softw. 41(6): 350-360 (2015) - [c5]Mikhail L. Zymbler:
Best-Match Time Series Subsequence Search on the Intel Many Integrated Core Architecture. ADBIS 2015: 275-286 - [c4]Ruslan Miniakhmetov, Aleksander Movchan, Mikhail L. Zymbler:
Accelerating time series subsequence matching on the Intel Xeon Phi many-core coprocessor. MIPRO 2015: 1399-1404 - [c3]Aleksander Movchan, Mikhail L. Zymbler:
Time Series Subsequence Similarity Search Under Dynamic Time Warping Distance on the Intel Many-core Accelerators. SISAP 2015: 295-306 - 2013
- [c2]Constantin S. Pan, Mikhail L. Zymbler:
Very Large Graph Partitioning by Means of Parallel DBMS. ADBIS 2013: 388-399 - [c1]Constantin S. Pan, Mikhail L. Zymbler:
Taming Elephants, or How to Embed Parallelism into PostgreSQL. DEXA (1) 2013: 153-164
Coauthor Index
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