Denis Kleyko
Cited by
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High-dimensional computing as a nanoscalable paradigm
A Rahimi, S Datta, D Kleyko, EP Frady, B Olshausen, P Kanerva, ...
IEEE Transactions on Circuits and Systems I: Regular Papers 64 (9), 2508-2521, 2017
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
A theory of sequence indexing and working memory in recurrent neural networks
EP Frady, D Kleyko, FT Sommer
Neural Computation 30 (6), 1449-1513, 2018
Holographic graph neuron: A bio-inspired architecture for pattern processing
D Kleyko, E Osipov, A Senior, AI Khan, YA Şekercioğlu
IEEE Transactions on Neural Networks and Learning Systems, 1-13, 2016
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
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
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
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, 2020
Real-time jamming DoS detection in safety-critical V2V C-ITS using data mining
N Lyamin, D Kleyko, Q Delooz, A Vinel
IEEE Communications Letters 23 (3), 442-445, 2019
AI-based malicious network traffic detection in VANETs
N Lyamin, D Kleyko, Q Delooz, A Vinel
IEEE Network 32 (6), 15-21, 2018
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
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
Autoscaling bloom filter: controlling trade-off between true and false positives
D Kleyko, A Rahimi, RW Gayler, E Osipov
Neural Computing and Applications 32 (8), 3675-3684, 2020
An automated machine learning approach for smart waste management systems
D Rutqvist, D Kleyko, F Blomstedt
IEEE transactions on industrial informatics 16 (1), 384-392, 2019
Brain-like classifier of temporal patterns
D Kleyko, E Osipov
2014 International Conference on Computer and Information Sciences (ICCOINS†…, 2014
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
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
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
Variable binding for sparse distributed representations: Theory and applications
EP Frady, D Kleyko, FT Sommer
IEEE Transactions on Neural Networks and Learning Systems, 2021
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