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Publications in Math-Net.Ru |
Citations |
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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 |
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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 |
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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 |
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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 |
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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 ; Scientific and Technical Information Processing, 45:6 (2018), 398–410 |
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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 |
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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 |
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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 |
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