| 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 | 33 | 2017 |
| 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 | 27 | 2016 |
| 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 | 27 | 2014 |
| 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 | 20 | 2015 |
| Modification of holographic graph neuron using sparse distributed representations D Kleyko, E Osipov, DA Rachkovskij Procedia Computer Science 88, 39-45, 2016 | 19 | 2016 |
| 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 | 19 | 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 | 17 | 2017 |
| 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 | 16 | 2018 |
| 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 | 16 | 2018 |
| Exploiting bacterial properties for multi-hop nanonetworks S Balasubramaniam, N Lyamin, D Kleyko, M Skurnik, A Vinel, ... IEEE Communications Magazine 52 (7), 184-191, 2014 | 16 | 2014 |
| 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 | 15 | 2015 |
| Neural distributed autoassociative memories: A survey VI Gritsenko, DA Rachkovskij, AA Frolov, R Gayler, D Kleyko, E Osipov arXiv preprint arXiv:1709.00848, 2017 | 14 | 2017 |
| Brain-like classifier of temporal patterns D Kleyko, E Osipov 2014 International Conference on Computer and Information Sciences (ICCOINS …, 2014 | 14 | 2014 |
| Dependable mac layer architecture based on holographic data representation using hyper-dimensional binary spatter codes D Kleyko, N Lyamin, E Osipov, L Riliskis International Workshop on Multiple Access Communications, 134-145, 2012 | 12 | 2012 |
| Recognizing permuted words with Vector Symbolic Architectures: A Cambridge test for machines D Kleyko, E Osipov, RW Gayler Procedia Computer Science 88, 169-175, 2016 | 11 | 2016 |
| Integer echo state networks: Hyperdimensional reservoir computing D Kleyko, EP Frady, E Osipov arXiv preprint arXiv:1706.00280, 2017 | 7 | 2017 |
| Pattern recognition with vector symbolic architectures D Kleyko Luleå tekniska universitet, 2016 | 7 | 2016 |
| Autoscaling bloom filter: Controlling trade-off between true and false positives D Kleyko, A Rahimi, RW Gayler, E Osipov arXiv preprint arXiv:1705.03934, 2017 | 6 | 2017 |
| Fly-the-Bee: A game imitating concept learning in bees D Kleyko, E Osipov, M Björk, H Toresson, A Öberg Procedia Computer Science 71, 25-30, 2015 | 6 | 2015 |
| Modified algorithm of dynamic frequency hopping (DFH) in the IEEE 802.22 standard D Kleyko, N Lyamin, E Osipov International Workshop on Multiple Access Communications, 75-83, 2014 | 5 | 2014 |
Evgeny OsipovProfessor, Luleå University of TechnologyVerified email at ltu.se
