Programmable Managing of Workflows in Development of Software-Intensive Systems. - Petr Sosnin; Yuriy Lapshov; Kirill Svyatov (IEA/AIE (1), 2014)

Scenes Segmentation in Self-driving Car Navigation System Using Neural Network Models with Attention. - Kirill Sviatov; Alexander Mikheev; Daniil Kanin; Sergey V. Sukhov; Vadim Tronin (ICCSA (5), 2019)

Overcoming Catastrophic Interference with Bayesian Learning and Stochastic Langevin Dynamics. - Mikhail Iu. Leontev; Alexander Mikheev; Kirill Sviatov; Sergey V. Sukhov (ISNN (1), 2019)

Detection of Obstacle Features Using Neural Networks with Attention in the Task of Autonomous Navigation of Mobile Robots. - Kirill Sviatov; Alexander Miheev; Sergey V. Sukhov; Yuriy Lapshov; Stefan Rapp (ICCSA (6), 2020)

Prevention of catastrophic interference and imposing active forgetting with generative methods. - Sergey V. Sukhov; Mikhail Iu. Leontev; Alexander Miheev; Kirill Sviatov (Neurocomputing, 2020)

Data Extraction of Charts with Hybrid Deep Learning Model. - Kirill Sviatov; Nadezhda G. Yarushkina; Sergey V. Sukhov (ICCSA (9), 2021)

Continuous learning of spiking networks trained with local rules. - Dmitry Antonov; Kirill Sviatov; Sergey V. Sukhov (Neural Networks, 2022)