Openvino deep learning workbench: Comprehensive analysis and tuning of neural networks inference Y Gorbachev, M Fedorov, I Slavutin, A Tugarev, M Fatekhov, Y Tarkan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 100 | 2019 |
Developing a distributed linguistic decision making system AV Demidovskij, EA Babkin Business Informatics 13 (1 (eng)), 18-32, 2019 | 20 | 2019 |
Openvino deep learning workbench: A platform for model optimization, analysis and deployment A Demidovskij, A Tugaryov, A Suvorov, Y Tarkan, M Fatekhov, I Salnikov, ... 2020 IEEE 32nd international conference on tools with artificial …, 2020 | 16 | 2020 |
Effective post-training quantization of neural networks for inference on low power neural accelerator A Demidovskij, E Smirnov 2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020 | 15 | 2020 |
OpenVINO deep learning workbench: towards analytical platform for neural networks inference optimization A Demidovskij, A Tugaryov, A Kashchikhin, A Suvorov, Y Tarkan, ... Journal of physics: Conference series 1828 (1), 012012, 2021 | 12 | 2021 |
Comparative analysis of MADM approaches: ELECTRE, TOPSIS and multi-level LDM methodology AV Demidovskij 2020 XXIII International Conference on Soft Computing and Measurements (SCM …, 2020 | 10 | 2020 |
Designing arithmetic neural primitive for sub-symbolic aggregation of linguistic assessments A Demidovskij, E Babkin Journal of Physics: Conference Series 1680 (1), 012007, 2020 | 9 | 2020 |
Integrated neurosymbolic decision support systems: problems and opportunities AV Demidovskij, EA Babkin Бизнес-информатика 15 (3 (eng)), 7-23, 2021 | 8 | 2021 |
Accelerating object detection models inference within deep learning workbench A Demidovskij, A Tugaryov, M Fatekhov, E Aidova, E Stepyreva, ... 2021 International Conference on Engineering and Emerging Technologies …, 2021 | 7 | 2021 |
Designing a neural network primitive for conditional structural transformations A Demidovskij, E Babkin Artificial Intelligence: 18th Russian Conference, RCAI 2020, Moscow, Russia …, 2020 | 7 | 2020 |
Towards automatic manipulation of arbitrary structures in connectivist paradigm with tensor product variable binding AV Demidovskij Advances in Neural Computation, Machine Learning, and Cognitive Research III …, 2020 | 7 | 2020 |
Development of a Model to Predict Intention Using Deep Learning. N Karpov, A Demidovskij, A Malafeev AIST (Supplement), 69-78, 2017 | 7 | 2017 |
Implementation aspects of tensor product variable binding in connectionist systems A Demidovskij Intelligent Systems and Applications: Proceedings of the 2019 Intelligent …, 2020 | 6 | 2020 |
Encoding and decoding of recursive structures in neural-symbolic systems A Demidovskij Optical Memory and Neural Networks 30, 37-50, 2021 | 4 | 2021 |
Towards designing linguistic assessments aggregation as a distributed neuroalgorithm AV Demidovskij, EA Babkin 2020 XXIII International Conference on Soft Computing and Measurements (SCM …, 2020 | 4 | 2020 |
Hybrid neural network and bi-criteria tabu-machine: comparison of new approaches to maximum clique problem E Babkin, T Babkina, A Demidovskij International Journal of Big Data Intelligence 5 (3), 143-155, 2018 | 4 | 2018 |
Neural multigranular 2-tuple average operator in neural-symbolic decision support systems A Demidovskij, E Babkin International Conference on Intelligent Information Technologies for …, 2021 | 3 | 2021 |
Automatic construction of tensor product variable binding neural networks for neural-symbolic intelligent systems A Demidovskij 2020 International Conference on Electrical, Communication, and Computer …, 2020 | 3 | 2020 |
Evolvable Semantic Platform for Facilitating Knowledge Exchange. N Karpov, E Babkin, A Demidovskij AIST (Supplement), 62-72, 2016 | 2 | 2016 |
Lightweight and Elegant Data Reduction Strategies for Training Acceleration of Convolutional Neural Networks A Demidovskij, A Tugaryov, A Trutnev, M Kazyulina, I Salnikov, S Pavlov Mathematics 11 (14), 3120, 2023 | 1 | 2023 |