V. A. Efremov, A. V. Leus, D. A. Gavrilov, D. I. Mangazeev, I. V. Kholodnyak, A. S. Radysh, V. A. Zuev, N. A. Vodichev, “Method for processing photo and video data from camera traps using a two-stage neural network approach”, Artificial Intelligence and Decision Making, 2023, no. 3, 98–108
2022
2.
V. Kondratyev, I. O. Pivovarov, R. A. Gorbachev, V. V. Matyukhin, D. A. Kornev, D. A. Gavrilov, E. A. Tatarinova, V. E. Buzdin, I. M. Mikhailov, O. A. Potkin, “Prospects of using artificial intelligence in business tasks”, Dokl. RAN. Math. Inf. Proc. Upr., 508 (2022), 41–49; Dokl. Math., 106:suppl. 1 (2022), S35–S42
2021
3.
D. A. Gavrilov, “Investigation of the applicability of the convolutional neural network U-Net to a problem of segmentation of aircraft images”, Computer Optics, 45:4 (2021), 575–579
A. G. Lapushkin, D. A. Gavrilov, N. N. Shchelkunov, R. N. Bakeev, “The main approaches to the preparation of visual data for training neural network algorithms”, Artificial Intelligence and Decision Making, 2021, no. 4, 62–74; Scientific and Technical Information Processing, 49:6 (2022), 463–471
2020
5.
D. A. Gavrilov, D. A. Lovtsov, “Efficient automated processing visual information using artificial intelligence technologies”, Artificial Intelligence and Decision Making, 2020, no. 4, 33–46; Scientific and Technical Information Processing, 48:6 (2021), 436–445