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Articles by keyword Variational autoencoder
Detecting internet attacks using a neural network

V.A. Zabelina, G.A. Savchenko, I.M. Chernenky, E.Yu. Silantieva

Bauman Moscow State Technical University (Moscow, Russia)

A New Method for Integrating a Deep Learning Module into Special Object Classification Software

P.O. Arkhipov1, S.L. Philippskih2, M.V. Tsukanov3

1–3 Branch Director, Orel Branch of the Federal Research Center “Computer Science and Control” of the RAS
(Orel, Russia)
1 arpaul@mail.ru, 2 philippsl@mail.ru, 3 tsukanov.m.v@yandex.ru

Comparative study of the effectiveness of autoencoders in anomaly detection tasks

V.E. Marley1, A.N. Terekhov2, Yu.A. Gatchin3, V.I. Milushkov4, N.N. Limansky5

1,4,5 Admiral S.O. Makarov State University of Marine and River Fleet (Saint Petersburg, Russia)

2 Saint Petersburg State University (Saint Petersburg, Russia)

3 ITMO National Research University (Saint Petersburg, Russia)

1 vmarley@mail.ru, 2 ant@tercom.ru, 3 gatchin1952@mail.ru, 4 info@sohoware.ru, 5 info@sohoware.ru