| 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 | 122 | 2018 |
| 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 | 114 | 2022 |
| A survey on hyperdimensional computing aka vector symbolic architectures, part ii: Applications, cognitive models, and challenges D Kleyko, D Rachkovskij, E Osipov, A Rahimi ACM Computing Surveys 55 (9), 1-52, 2023 | 105 | 2023 |
| Vector symbolic architectures as a computing framework for emerging hardware D Kleyko, M Davies, EP Frady, P Kanerva, SJ Kent, BA Olshausen, ... Proceedings of the IEEE 110 (10), 1538-1571, 2022 | 97 | 2022 |
| 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 | 89 | 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 | 89 | 2016 |
| 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 | 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 | 53 | 2015 |
| 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 | 52 | 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 | 50 | 2017 |
| 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 | 46 | 2020 |
| Modification of holographic graph neuron using sparse distributed representations D Kleyko, E Osipov, DA Rachkovskij Procedia Computer Science 88, 39-45, 2016 | 46 | 2016 |
| Neural distributed autoassociative memories: A survey VI Gritsenko, DA Rachkovskij, AA Frolov, R Gayler, D Kleyko, E Osipov arXiv preprint arXiv:1709.00848, 2017 | 45 | 2017 |
| Brain-like classifier of temporal patterns D Kleyko, E Osipov 2014 International Conference on Computer and Information Sciences (ICCOINS …, 2014 | 45 | 2014 |
| 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 | 44 | 2014 |
| 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 | 44 | 2009 |
| 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 | 42 | 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 | 38 | 2018 |
| 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 | 37 | 2020 |
| 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 | 37 | 2020 |
