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Alexander Demidovskij
Alexander Demidovskij
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Title
Cited by
Cited by
Year
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
862019
Developing a distributed linguistic decision making system
AV Demidovskij, EA Babkin
Business Informatics 13 (1 (eng)), 18-32, 2019
202019
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
122020
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
112020
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
92021
Designing arithmetic neural primitive for sub-symbolic aggregation of linguistic assessments
A Demidovskij, E Babkin
Journal of Physics: Conference Series 1680 (1), 012007, 2020
92020
Integrated neurosymbolic decision support systems: problems and opportunities
AV Demidovskij, EA Babkin
Бизнес-информатика 15 (3 (eng)), 7-23, 2021
82021
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
82020
Designing a neural network primitive for conditional structural transformations
A Demidovskij, E Babkin
Artificial Intelligence: 18th Russian Conference, RCAI 2020, Moscow, Russia …, 2020
72020
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
72020
Development of a Model to Predict Intention Using Deep Learning.
N Karpov, A Demidovskij, A Malafeev
AIST (Supplement), 69-78, 2017
72017
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
62021
Implementation aspects of tensor product variable binding in connectionist systems
A Demidovskij
Intelligent Systems and Applications: Proceedings of the 2019 Intelligent …, 2020
62020
Encoding and decoding of recursive structures in neural-symbolic systems
A Demidovskij
Optical Memory and Neural Networks 30, 37-50, 2021
42021
Towards designing linguistic assessments aggregation as a distributed neuroalgorithm
AV Demidovskij, EA Babkin
2020 XXIII International Conference on Soft Computing and Measurements (SCM …, 2020
42020
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
42018
Neural multigranular 2-tuple average operator in neural-symbolic decision support systems
A Demidovskij, E Babkin
International Conference on Intelligent Information Technologies for …, 2021
32021
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
32020
Evolvable Semantic Platform for Facilitating Knowledge Exchange.
N Karpov, E Babkin, A Demidovskij
AIST (Supplement), 62-72, 2016
22016
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
12023
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