Journals
Books
Articles by keyword Random Forest
Estimation of classifiers generalization ability in solving problem of sleep stage recognition by using heart rate variability
A.B. Tataraidze, L.N. Anishchenko, M.D. Alekhin
Development of a method for assessing the quality of machine translation based on ensemble methods in machine learning

A.V. Kozina, Yu.S. Belov

Kaluga Branch of the Bauman MSTU (Kaluga, Russia)

Instrumental support for solving the classification problem in forensic diagnostics of the biological age of an unidentified individual

N.V. Gridina – Junior Research Scientist, Assistant of Department, 

G.V. Zolotenkova – Ph.D.(Med.), Senior Research Scientist, Associate Professor of Department, 

A.I. Rogachev – Research Engineer, 

Yu.I. Pigolkin – Corresponding Member, Dr.Sc.(Med.), Professor, Main Research Scientist, Head of Department. 

System for distributed training of Kernel forests

D.A. Devyatkin1

1 Federal Research Center «Computer Science and Control» of the Russian Academy of Sciences (Moscow, Russia)

Prediction of recurrences of cerebral meningioma based on the analysis of clinical signs using a random forest model

A.N. Kalinichenko1, K.I. Agapova2, M.A. Bolozya3, K.K. Kukanov4, E.V. Sadykova5

1–3,5 St. Petersburg State Electrotechnical University «LETI» (St. Petersburg, Russia)
4 Polenov Neurosurgical Research Institute, branch of the Almazov National Medical Research Centre (St. Petersburg, Russia)
1 ank-bs@yandex.ru, 2 a-ksyusha@bk.ru, 3 sweet.cherry2552@gmail.com, 4 kukanov_kk@almazovcentre.ru, 5 elensadykova@yandex.ru

Practical application of machine learning and artificial intelligence methods in primary analysis of startup success

N.E. Sadkovskaya1, A.N. Manin2, A.P. Gorshkova3, A.V. Prudnikov4
1–4 Moscow Aviation University (National Research University) (Moscow, Russia)

1 natsadkovskaya@rambler.ru, 2 andreym012@gmail.com, 3 alyaayg@yandex.ru, 4 AlexPrudnikov1@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

Neural network and hybrid technologies in osteoporosis diagnostics: analysis of x-ray images of the spine

N. Yu. Ilyasova1, D.V. Nekrasova2, E.V. Zarov3, N.S. Demin4, S.S. Pervushkin5

1–4 Samara National Research University (Samara, Russia)
1,4 Image Processing Systems Institute, NRC «Kurchatov Institute» (Moscow, Russia)
5 Samara State Medical University Samara (Samara, Russia)
1 ilyasova.nata@gmail.com, 2 dashanek007@gmail.com, 3 zarov.gcg@gmail.com, 4 volfgunus@gmail.com,
5 Sergey.pervushkin@gmail.com