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Myasnikov, Evgeny Valerievich

Statistics Math-Net.Ru
Total publications: 4
Scientific articles: 4

Number of views:
This page:130
Abstract pages:506
Full texts:224
References:87
Associate professor
Candidate of technical sciences (2007)
Speciality: 05.13.18 (Mathematical modelling, calculating methods, and the program systems)
Birth date: 20.03.1981
E-mail:
Website: https://ipsiras.ru/staff/MyasEV.htm

Biography

Graduated with honors from Samara State Aerospace University (SSAU) in 2004, majoring in Automated Systems for Information Processing and Control". Currently he works as Associate Professor at Geoinformatics and Information Security department, senior researcher at the Breakthrough Technologies for Earth's Remote Sensing laboratory in S.P. Korolyov Samara State Aerospace University (National Research University), SSAU and as the Researcher at Mathematical Methods of Image Processing laboratory, Image Processing Systems Institute of RAS (IPSI RAS). The research results are reflected in more than 50 scientific papers, co-author of the monograph. Research interests are pattern recognition, image processing, geoinformatics, software development.


https://www.mathnet.ru/eng/person121557
List of publications on Google Scholar
List of publications on ZentralBlatt
https://elibrary.ru/author_items.asp?authorid=183106

Publications in Math-Net.Ru Citations
2023
1. A. Alekseev, A. Savchenko, E. Tutubalina, E. Myasnikov, S. Nikolenko, “Blending of predictions boosts understanding for multimodal advertisements”, Zap. Nauchn. Sem. POMI, 529 (2023),  176–196  mathnet
2022
2. Yu. Kh. Ganeeva, E. V. Myasnikov, “Identifying persons from iris images using neural networks for image segmentation and feature extraction”, Computer Optics, 46:2 (2022),  308–316  mathnet 3
2017
3. E. V. Myasnikov, “Hyperspectral image segmentation using dimensionality reduction and classical segmentation approaches”, Computer Optics, 41:4 (2017),  564–572  mathnet 46
2014
4. E. V. Myasnikov, “The choice of a method for feature space decomposition for non-linear dimensionality reduction”, Computer Optics, 38:4 (2014),  790–793  mathnet

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