Journals
Books
Articles by keyword метод опорных векторов
Classification of image distortion type in task of noreference image quality assessment
V.V. Khryashchev, A.L. Priorov, V.E. Solovyev, A.M. Shemiakov
Face detection algorithm in case the additive white gaussian noise in image
L.A. Smaglit - Post-graduate Student, Yaroslavl State University. E-mail: shmaglit_lev@yahoo.com
A.L. Priorov - Dr. Sc. (Eng.), Associate Professor, Yaroslavl State University. E-mail: andcat@yandex.ru
V.V. Khryashchev - Ph. D. (Eng.), Associate Professor, Yaroslavl State University. E-mail: vhr@yandex.ru
D.V. Matveev - Master of Degree, Applied Mathematics and Computer Science, Yaroslavl State University. E-mail: yar_volley@inbox.ru
Weakly-sparse filters in image recognition
B.A. Knjazev - Research Engineer, Bauman Moscow State Technical University E-mail: bknyazev@bmstu.ru V.M. Chernenkiy - Dr.Sc. (Eng.), Head of Department of Information processing system and Management, Bauman Moscow State Technical University E-mail: chernen@bmstu.ru
Atomic machine learning

S.Yu. Eremenko − Dr.Sc. (Eng.), Professor, Director of Soliton Scientific Pty Ltd (Sydney, Australia) 

E-mail: sergei@solitonscientific.com

Modern methods of computer vision and their practical application in the problem of defectoscopy of integrated circuits

A.Yu. Shafigullina1, D.I. Klimov2, T.T. Mamedov3, I.R. Gubaidullin4

1–4 Joint Stock Company "Russian Space Systems" (Moscow, Russia)

2 National Research University "Moscow Power Engineering Institute" (Moscow, Russia)

1 postgraduate contact@spacecorp.ru, 2 klimov.di@spacecorp.ru,
3 mamedov.tt@spacecorp.ru, 4 gubaidullin.ir@spacecorp.ru

Using machine learning methods to detect depression among users of the social network Reddit

V.G. Lyalikova1, М.М. Bezryadin2, D.Yu. Golovanov3

1–3 Voronezh state university (Voronezh, Russia)

1 vikalg@yandex.ru, 2 maickel@yandex.ru, 3 dmitry.golovanov.1988@gmail.com

Development of a methodology for configuring the parameters of the brain-computer interfaces for conducting experiments on the classification of motor images in the OpenVIBE program

D.V. Zhuravlev1, A.N. Golubinsky2, A. A. Tolstykh3, A. A. Reznichenko4

1, 4 Voronezh State Technical University (Voronezh, Russia)
2 A.A. Harkevich Institute of Information Transmission Problems of the Russian Academy of Sciences (Moscow, Russia)
3 RTK LLC (Moscow, Russia)
1 ddom1@yandex.ru, 2 annikgol@mail.ru, 3 tolstykh.aa@yandex.ru, 4andrei.reznichencko2017@yandex.ru

Machine learning model for musical emotion classification in recommender systems

D.V. Plaksin1, T.E. Badokina2, E.V. Shchennikova3

1–3 Federal State Budgetary Educational Institution of Higher Education “National Research Mordovia State University” (Saransk, Russia)
1dmitriy.plaksin1@yandex.ru; 2badokinate@math.mrsu.ru; 3schennikova8000@yandex.ru

Comparison of data classification methods in machine learning based on scientific publications on the nuclear fuel cycle

R.R. Tukumbetova1, M.S. Ulizko2, T.V. Korenkova3, A.A. Artamonov4

1−4 National Research Nuclear University MEPhI (Moscow, Russia)
1 rrtukumbetova@mephi.ru, 2 msulizko@mephi.ru, 3 korenkova.tanya@mail.ru, 4 aaartamonov@mephi.ru