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Sulavko, Alexey E.

Statistics Math-Net.Ru
Total publications: 8
Scientific articles: 8

Number of views:
This page:94
Abstract pages:794
Full texts:445
References:85
Candidate of technical sciences
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Biography

Senior Lecturer, of Complex Information Protection department of Omsk State Technical University.


https://www.mathnet.ru/eng/person132576
List of publications on Google Scholar
List of publications on ZentralBlatt

Publications in Math-Net.Ru Citations
2020
1. A. E. Sulavko, “An abstract model of an artificial immune network based on a classifier committee for biometric pattern recognition by the example of keystroke dynamics”, Computer Optics, 44:5 (2020),  830–842  mathnet 3
2. A. E. Sulavko, “Highly reliable two-factor biometric authentication based on handwritten and voice passwords using flexible neural networks”, Computer Optics, 44:1 (2020),  82–91  mathnet 3
2019
3. A. E. Sulavko, S. S. Zhumazhanova, D. G. Stadnikov, “Identification of computer systems users by electroencephalograms parameters in the process of entering the password phrase on the keyboard”, Artificial Intelligence and Decision Making, 2019, no. 2,  15–27  mathnet  elib
2017
4. A. I. Ivanov, P. S. Lozhnikov, A. E. Sulavko, “Evaluation of signature verification reliability based on artificial neural networks, Bayesian multivariate functional and quadratic forms”, Computer Optics, 41:5 (2017),  765–774  mathnet 20
5. V. I. Vasil'ev, A. E. Sulavko, R. V. Borisov, S. S. Zhumazhanova, “Recognition of psychophysiological state of the user based on a hidden monitoring of computer systems”, Artificial Intelligence and Decision Making, 2017, no. 3,  21–37  mathnet  elib; Scientific and Technical Information Processing, 45:6 (2018), 398–410 5
2016
6. A. E. Sulavko, A. V. Eremenko, E. V. Tolkacheva, S. S. Zhumazhanova, “Fuzzy extractor for generating the encryption key based on the parameters of keystroke dynamics”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2016, no. 4,  69–79  mathnet
2014
7. A. E. Sulavko, A. V. Eremenko, “Compression method of own areas of identified classes of images in the space of signs that contains small portions of information”, Artificial Intelligence and Decision Making, 2014, no. 2,  102–109  mathnet  elib
2013
8. A. E. Sulavko, A. V. Eremenko, A. E. Samotuga, “Exceptions gross mistakes of biometric data before creating measurement standards of people in biometric identification systems”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2013, no. 3,  96–101  mathnet

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