Journals
Books
Articles by keyword метрики
TID2008 - A database for evaluation of full-reference visual quality assessment metrics
N. N. Ponomarenko, V. V. Lukin, A. A. Zelensky, K. O. Egiazarian, J. Astola, M. Carli, F. Battisti
Approach to formalize the process of refactoring-based metrics of object-oriented code using graphs
N. A. Zabolotko
Program code analysis using ensemble methods of machine learning

V.A. Galkin – Ph.D. (Eng.), Associate Professor,

Information Processing and Control Systems Department, Bauman Moscow State Technical University

E-mail: galkin@bmstu.ru I.S. Biushkin − Master,

Information Processing and Control SystemsDepartment, Bauman Moscow State Technical University

E-mail: biushkin.iwan@yandex.ru

U.V. Zhuravleva − Master,

Information Processing and Control Systems Department, Bauman Moscow State Technical University

E-mail: 3101zuv@mail.ru

Development of a method for evaluating the accuracy of audio signal recognition using a neural network for large amounts of data

B.S. Goryachkin − Ph.D. (Eng.), Associate Professor, 

Department of Information Processing and Management Systems, Bauman Moscow State Technical University

E-mail: bsgor@mail.ru

B.I. Bagaviev − Under-graduate Student, 

Department of Information Processing and Management Systems, Bauman Moscow State Technical University E-mail: buba1219@yandex.ru

Portable device equipped with the vibrotactile feedback to support the home physical rehabilitation

A.V. Alpatov1, M.S. Ashapkina2

1,2 Ryazan State Radio Engineering University n. a. akad. V.F. Utkin (Ryazan, Russia)

1,2 IIP BIOTEPRODACTS LLC (Ryazan, Russia)

Application of machine learning methods in plagiarism detection systems in order to solve the problem of highly specialized concepts

I.I. Starkov1, A.I. Vlasov2

1,2 Bauman Moscow State Technical University (Moscow, Russia)

Application of machine learning methods in plagiarism detection systems in order to solve the problem of highly specialized concepts

I.I. Starkov1, A.I. Vlasov2

1,2 Bauman Moscow State Technical University (Moscow, Russia)
 

Application of machine learning methods for analysis of the mental state of a person

L.A. Kovalkova1, A.A. Kochkarov2, E.Yu. Shchetinin3

1–3 Financial University under the Government of the Russian Federation (Moscow, Russia)

1 mila.kovalkova.ai@gmail.com, 2 akochkarov@fa.ru, 3 eyshchetinin@fa.ru