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Bayes-Minkowski measure and building on its basis immune machine learning algorithms for biometric facial identification

Journal of physics. Conference series, 2020-05, Vol.1546 (1), p.12103

Sulavko, A E

2020

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Generation of a biometrically activated digital signature based on hybrid neural network algorithms

Journal of physics. Conference series, 2018-07, Vol.1050 (1), p.12047

2018

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Biometric pattern recognition using wide networks of gravity proximity measures

Journal of physics. Conference series, 2018-07, Vol.1050 (1), p.12082

2018

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On the person and psychophysiological state identification using electroencephalogram parameters

Journal of physics. Conference series, 2020-05, Vol.1546 (1), p.12092

2020

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Possibility of Decrease in a Level of Data Correlation During Processing Small Samples Using Neural Networks by Generating New Statistic Tests

Journal of physics. Conference series, 2020-05, Vol.1546 (1), p.12080

2020

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Personal Identification Based on the Individual Sonographic Properties of the Auricle Using Cepstral Analysis and Bayes Formula

Cybernetics and systems analysis, 2021-05, Vol.57 (3), p.455-462

2021

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Perspectives of subjects' psychophysiological state identification using dynamic biometric features

Journal of physics. Conference series, 2018-07, Vol.1050 (1), p.12046

2018

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Biometric authentication on the basis of lectroencephalograms parameters

Journal of physics. Conference series, 2019-08, Vol.1260 (2), p.22011

2019

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Highly reliable two-factor biometric authentication based on handwritten and voice passwords using flexible neural networks

Kompʹûternaâ optika, 2020-02, Vol.44 (1)

Sulavko, A.E.

2020

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Methods for determining the live presence of a user in front of a video camera in the task of biometric face authentication

Information Security Questions, 2023 (2), p.17-26

2023

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The Study of an Impact of Alcohol Intoxication on Voice Parameters in Biometric Authentication Systems

2023 Dynamics of Systems, Mechanisms and Machines (Dynamics), 2023, p.1-6

2023

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Biometric authentication based with thermal facial images based on biometrics to code converters

Information Security Questions, 2023 (1), p.9-18

2023

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Evaluation of signature verification reliability based on artificial neural networks, Bayesian multivariate functional and quadratic forms

Kompʹûternaâ optika, 2017-09, Vol.41 (5), p.765-774

2017

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Impact of Psycho-Physiological State of Signers on Biometric Parameters of Manuscript Images and Results of their Verification

Informatsionno-upravliaiushchie sistemy (Information and Control Systems), 2017-12, Vol.6 (91), p.29-42

2017

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Transformer of voice passwords of speakers into a cryptographic key based on a committee of pretrained convolutional neural networks

Information Security Questions, 2021 (4), p.23-33

2021

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Identification of the Psychophysiological State of the User Based on Hidden Monitoring in Computer Systems

Scientific and technical information processing, 2018-12, Vol.45 (6), p.398-410

2018

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Evaluation of EEG identification potential using statistical approach and convolutional neural networks

Information and Control Systems, 2020-12 (6), p.37-49

2020

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Identification potential of online handwritten signature verification

Optoelectronics, instrumentation, and data processing, 2016-05, Vol.52 (3), p.238-244

2016

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Complexation of Independent Biometric Features in People Recognition with Quadratic Forms, Perceptrons and Functional Hee-module

Informatsionno-upravliaiushchie sistemy (Information and Control Systems), 2017-03, Vol.1 (86), p.50-62

2017

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Experimental Evaluation of Reliability of Signature Verification by Quadratic Form Networks, Fuzzy Extractors and Perceptrons

Informatsionno-upravliaiushchie sistemy (Information and Control Systems), 2016-11, Vol.5 (84), p.73-85

2016

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THE STUDY OF AN IMPACT OF ALCOHOL INTOXICATION ON VOICE PARAMETERS IN BIOMETRIC AUTHENTICATION SYSTEMS

DYNAMICS OF SYSTEMS, MECHANISMS AND MACHINES, 2023, Vol.11 (2), p.58-66

2023

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ANALYTICAL REVIEW OF THE ACHIEVED RESULTS IN THE FIELD OF PERSONAL IDENTIFICATION WITH PROTECTION OF BIOMETRIC STANDARDS FROM COMPROMATION

Applied Mathematics and Fundamental Informatics, 2021, Vol.8 (2), p.29-37

2021

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Complex System of Identification of the Person by Dynamics of Subconscious Movements

Bezopasnostʹ informat͡s︡ionnykh tekhnologiĭ, 2011-12, Vol.18 (4), p.97-102

2011

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Perspective Neural Network Algorithms for Dynamic Biometric Pattern Recognition in the Space of Interdependent Features

2018 Dynamics of Systems, Mechanisms and Machines (Dynamics), 2018, p.1-12

2018

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USAGE OF QUADRATIC FORM NETWORKS FOR USERS’ RECOGNITION BY DYNAMIC BIOMETRIC IMAGES

Dynamics of Systems, Mechanisms and Machines, 2017, Vol.5 (4), p.77-84

2017

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Bayes-Minkowski measure and building on its basis immune machine learning algorithms for biometric facial identification

Generation of a biometrically activated digital signature based on hybrid neural network algorithms

Biometric pattern recognition using wide networks of gravity proximity measures

On the person and psychophysiological state identification using electroencephalogram parameters

Possibility of Decrease in a Level of Data Correlation During Processing Small Samples Using Neural Networks by Generating New Statistic Tests

Personal Identification Based on the Individual Sonographic Properties of the Auricle Using Cepstral Analysis and Bayes Formula

Perspectives of subjects' psychophysiological state identification using dynamic biometric features

Biometric authentication on the basis of lectroencephalograms parameters

Highly reliable two-factor biometric authentication based on handwritten and voice passwords using flexible neural networks

Methods for determining the live presence of a user in front of a video camera in the task of biometric face authentication

The Study of an Impact of Alcohol Intoxication on Voice Parameters in Biometric Authentication Systems

Biometric authentication based with thermal facial images based on biometrics to code converters

Evaluation of signature verification reliability based on artificial neural networks, Bayesian multivariate functional and quadratic forms

Impact of Psycho-Physiological State of Signers on Biometric Parameters of Manuscript Images and Results of their Verification

Transformer of voice passwords of speakers into a cryptographic key based on a committee of pretrained convolutional neural networks

Identification of the Psychophysiological State of the User Based on Hidden Monitoring in Computer Systems

Evaluation of EEG identification potential using statistical approach and convolutional neural networks

Identification potential of online handwritten signature verification

Complexation of Independent Biometric Features in People Recognition with Quadratic Forms, Perceptrons and Functional Hee-module

Experimental Evaluation of Reliability of Signature Verification by Quadratic Form Networks, Fuzzy Extractors and Perceptrons

THE STUDY OF AN IMPACT OF ALCOHOL INTOXICATION ON VOICE PARAMETERS IN BIOMETRIC AUTHENTICATION SYSTEMS

ANALYTICAL REVIEW OF THE ACHIEVED RESULTS IN THE FIELD OF PERSONAL IDENTIFICATION WITH PROTECTION OF BIOMETRIC STANDARDS FROM COMPROMATION

Complex System of Identification of the Person by Dynamics of Subconscious Movements

Perspective Neural Network Algorithms for Dynamic Biometric Pattern Recognition in the Space of Interdependent Features

USAGE OF QUADRATIC FORM NETWORKS FOR USERS’ RECOGNITION BY DYNAMIC BIOMETRIC IMAGES

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