Prevention of catastrophic interference and imposing active forgetting with generative methods S Sukhov, M Leontev, A Miheev, K Sviatov Neurocomputing 400, 73-85, 2020 | 16 | 2020 |
Continuous learning of spiking networks trained with local rules DI Antonov, KV Sviatov, S Sukhov Neural Networks 155, 512-522, 2022 | 13 | 2022 |
Scenes segmentation in self-driving car navigation system using neural network models with attention K Sviatov, A Miheev, D Kanin, S Sukhov, V Tronin International Conference on Computational Science and Its Applications, 278-289, 2019 | 10 | 2019 |
Functional model of a Self-driving car control system K Sviatov, N Yarushkina, D Kanin, I Rubtcov, R Jitkov, V Mikhailov, ... Technologies 9 (4), 100, 2021 | 9 | 2021 |
A Technique to Pre-trained Neural Network Language Model Customization to Software Development Domain PV Dudarin, VG Tronin, KV Svyatov Russian Conference on Artificial Intelligence, 169-176, 2019 | 6 | 2019 |
Detection of Scenes Features for Path Following on a Local Map of a Mobile Robot Using Neural Networks K Sviatov, A Miheev, Y Lapshov, V Shishkin, S Sukhov International Scientific and Practical Conference in Control Engineering …, 2020 | 4 | 2020 |
Image processing algorithms for self-driving cars navigation V Dementiev, K Sviatov, M Gaponova 2022 VIII International Conference on Information Technology and …, 2022 | 3 | 2022 |
Data extraction of charts with hybrid deep learning model K Sviatov, N Yarushkina, S Sukhov Computational Science and Its Applications–ICCSA 2021: 21st International …, 2021 | 3 | 2021 |
Quality metrics of variational autoencoders M Leontev, A Mikheev, K Sviatov, S Sukhov 2020 International Conference on Information Technology and Nanotechnology …, 2020 | 2 | 2020 |
Detection of obstacle features using neural networks with attention in the task of autonomous navigation of mobile robots K Sviatov, A Miheev, S Sukhov, Y Lapshov, S Rapp Computational Science and Its Applications–ICCSA 2020: 20th International …, 2020 | 2 | 2020 |
Overcoming catastrophic interference with bayesian learning and stochastic langevin dynamics M Leontev, A Mikheev, K Sviatov, S Sukhov International Symposium on Neural Networks, 370-378, 2019 | 2 | 2019 |
Programmable managing of workflows in development of software-intensive systems P Sosnin, Y Lapshov, K Svyatov Modern Advances in Applied Intelligence: 27th International Conference on …, 2014 | 2 | 2014 |
Virtual testing ground for the development of control systems for unmanned vehicles in agriculture K Svyatov, I Rubtcov, A Ponomarev E3S Web of Conferences 458, 08018, 2023 | 1 | 2023 |
The problem of neural networks communication MI Leontev, VI Islenteva, AV Mikheev, KV Sviatov, SV Sukhov Journal of Physics: Conference Series 1368 (5), 052033, 2019 | 1 | 2019 |
An approach to customization of pre-trained neural network language model to specific domain PV Dudarin, VG Tronin, KV Svyatov Komp'juternaja Lingvistika i Intellektual'nye Tehnologii, 194-202, 2019 | 1 | 2019 |
QUESTION-ANSWER PROCESSOR NetWIQA WEB-INTERFACE FAMILY DEVELOPMENT PROCESS KV Svyatov Information technologies, 78-84, 2007 | 1 | 2007 |
Software ergonomics metrics views K Svyatov Interactive systems and technologies: The Problems of Human-Computer …, 2007 | 1 | 2007 |
System of ergonomic specifications and metrics adoption K Svyatov Interactive systems and technologies: The Problems of Human-Computer …, 2007 | 1 | 2007 |
Development of a Software Module for Sentiment Analysis of Text Reviews Based on a Naive Bayesian Classifier for a Pharmacy Information System I Shchukarev, V Moshkin, K Svyatov 2024 6th International Conference on Control Systems, Mathematical Modeling …, 2024 | | 2024 |
Mapping and Path Planning Methods for Highly Automated Vehicles in Agriculture VS Mikhailov, ID Khairullin, KV Svyatov International Russian Automation Conference, 27-36, 2024 | | 2024 |