Evgeny Osipov
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A survey on hyperdimensional computing aka vector symbolic architectures, part i: Models and data transformations
D Kleyko, DA Rachkovskij, E Osipov, A Rahimi
ACM Computing Surveys 55 (6), 1-40, 2022
Classification and recall with binary hyperdimensional computing: Tradeoffs in choice of density and mapping characteristics
D Kleyko, A Rahimi, DA Rachkovskij, E Osipov, JM Rabaey
IEEE transactions on neural networks and learning systems 29 (12), 5880-5898, 2018
Holographic graph neuron: A bioinspired architecture for pattern processing
D Kleyko, E Osipov, A Senior, AI Khan, YA Şekerciogğlu
IEEE transactions on neural networks and learning systems 28 (6), 1250-1262, 2016
Vector symbolic architectures as a computing framework for nanoscale hardware
D Kleyko, M Davies, E Paxon Frady, P Kanerva, SJ Kent, BA Olshausen, ...
arXiv e-prints, arXiv: 2106.05268, 2021
Machine learning to support social media empowered patients in cancer care and cancer treatment decisions
D De Silva, W Ranasinghe, T Bandaragoda, A Adikari, N Mills, ...
PloS one 13 (10), e0205855, 2018
Toward intelligent industrial informatics: A review of current developments and future directions of artificial intelligence in industrial applications
D De Silva, S Sierla, D Alahakoon, E Osipov, X Yu, V Vyatkin
IEEE Industrial Electronics Magazine 14 (2), 57-72, 2020
Imitation of honey bees’ concept learning processes using vector symbolic architectures
D Kleyko, E Osipov, RW Gayler, AI Khan, AG Dyer
Biologically Inspired Cognitive Architectures 14, 57-72, 2015
Modality classification of medical images with distributed representations based on cellular automata reservoir computing
D Kleyko, S Khan, E Osipov, SP Yong
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017
Comparison of machine learning techniques for vehicle classification using road side sensors
D Kleyko, R Hostettler, W Birk, E Osipov
2015 IEEE 18th International Conference on Intelligent Transportation …, 2015
On bidirectional transitions between localist and distributed representations: The case of common substrings search using vector symbolic architecture
D Kleyko, E Osipov
Procedia Computer Science 41, 104-113, 2014
Brain-like classifier of temporal patterns
D Kleyko, E Osipov
2014 International Conference on Computer and Information Sciences (ICCOINS …, 2014
Neural distributed autoassociative memories: A survey
VI Gritsenko, DA Rachkovskij, AA Frolov, R Gayler, D Kleyko, E Osipov
arXiv preprint arXiv:1709.00848, 2017
Modification of holographic graph neuron using sparse distributed representations
D Kleyko, E Osipov, DA Rachkovskij
Procedia Computer Science 88, 39-45, 2016
iRoad-cooperative road infrastructure systems for driver support
W Birk, E Osipov, J Eliasson
World Congress and Exhibition on Intelligent Transport Systems and Services …, 2009
Density encoding enables resource-efficient randomly connected neural networks
D Kleyko, M Kheffache, EP Frady, U Wiklund, E Osipov
IEEE Transactions on Neural Networks and Learning Systems 32 (8), 3777-3783, 2020
Associative synthesis of finite state automata model of a controlled object with hyperdimensional computing
E Osipov, D Kleyko, A Legalov
IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society …, 2017
Hyperdimensional computing in industrial systems: the use-case of distributed fault isolation in a power plant
D Kleyko, E Osipov, N Papakonstantinou, V Vyatkin
IEEE Access 6, 30766-30777, 2018
Autoscaling bloom filter: controlling trade-off between true and false positives
D Kleyko, A Rahimi, RW Gayler, E Osipov
Neural Computing and Applications 32, 3675-3684, 2020
Fault detection in the hyperspace: Towards intelligent automation systems
D Kleyko, E Osipov, N Papakonstantinou, V Vyatkin, A Mousavi
2015 IEEE 13th international conference on industrial informatics (INDIN …, 2015
Integer echo state networks: Efficient reservoir computing for digital hardware
D Kleyko, EP Frady, M Kheffache, E Osipov
IEEE Transactions on Neural Networks and Learning Systems 33 (4), 1688-1701, 2020
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