Journals
Books
Articles by keyword gradient boosting
Neurological disease prediction using machine learning methods

K.S. Myshenkov1, Nekoula Haddad 2

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

Basic principles of machine learning methods application for the evaluation of the functioning of radar stations

I.A. Kalinov – Project Manager, JSC «Concern «RTI Systems» (Moscow); 

Post-graduate Student, Moscow Institute of Physics and Technology (State University) E-mail: tej@frtk.ru

A.A. Kochkarov – Ph.D.(Phys.-Math.), Associate Professor, Deputy Director of STC-3, JSC «RTI» (Moscow); 

Senior Research Scientist, V.A. Trapeznikov Institute of Control Sciences of RAS (Moscow)

E-mail: akochkar@gmail.com, AKochkarov@oaorti.ru

S.S. Matveeva – Leading Engineer, JSC «A.L. Mints Radiotechnical Institute» (Moscow) E-mail: s.s.matveeva@gmail.com

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

Application of the CatBoost algorithm for recognition of air traffic objects

O.V. Esikov1, V.L. Rumyantsev2, I.V. Milko3, S.A. Kurbatsky4, I.A. Kleshchary5, L.D. Shcherbakov6

1–4JS CDBAE (Tula, Russia)
5, 6 Tula State University (Tula, Russia)
1 eovmail@rambler.ru, 2 vlroom@yandex.ru, 3 milko_igor@mail.ru, 4 cdbae@cdbae.ru, 5 klesharivan5@gmail.ru, 6 lev.denisovich@yandex.ru