| Efficient orchestration of node-red iot workflows using a vector symbolic architecture C Simpkin, I Taylor, D Harborne, G Bent, A Preece, RK Ganti Future Generation Computer Systems 111, 117-131, 2020 | 25 | 2020 |
| Constructing distributed time-critical applications using cognitive enabled services C Simpkin, I Taylor, GA Bent, G de Mel, S Rallapalli, L Ma, M Srivatsa Future Generation Computer Systems 100, 70-85, 2019 | 18 | 2019 |
| Dynamic distributed orchestration of node-red iot workflows using a vector symbolic architecture C Simpkin, I Taylor, D Harborne, G Bent, A Preece, RK Ganti 2018 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS), 52-63, 2018 | 17 | 2018 |
| A scalable vector symbolic architecture approach for decentralized workflows C Simpkin, I Taylor, G Bent, G de Mel, R Ganti | 12 | 2018 |
| Demonstration of dynamic distributed orchestration of node-RED IoT workflows using a vector symbolic architecture R Tomsett, G Bent, C Simpkin, I Taylor, D Harbourne, A Preece, R Ganti 2019 IEEE International Conference on Smart Computing (SMARTCOMP), 464-467, 2019 | 11 | 2019 |
| Hyperdimensional computing using time-to-spike neuromorphic circuits G Bent, C Simpkin, Y Li, A Preece 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 8 | 2022 |
| Trustable service discovery for highly dynamic decentralized workflows I Barclay, C Simpkin, G Bent, T La Porta, D Millar, A Preece, I Taylor, ... Future Generation Computer Systems 134, 236-246, 2022 | 7 | 2022 |
| Energy efficient'in memory'computing to enable decentralised service workflow composition in support of multi-domain operations G Bent, C Simpkin, I Taylor, A Rahimi, G Karunaratne, A Sebastian, ... Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2021 | 7 | 2021 |
| Sense: Semantically enhanced node sequence embedding S Rallapalli, L Ma, M Srivatsa, A Swami, H Kwon, G Bent, C Simpkin 2019 IEEE International Conference on Big Data (Big Data), 665-670, 2019 | 7 | 2019 |
| Decentralized microservice workflows for coalition environments C Simpkin, I Taylor, GA Bent, G De Mel, S Rallapalli 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2017 | 7 | 2017 |
| Identifying sensor accesses from service descriptions A Palit, M Srivatsa, R Ganti, C Simpkin 2017 IEEE International Conference on Big Data (Big Data), 3006-3011, 2017 | 5 | 2017 |
| Coalition c3 information exchange using binary symbolic vectors C Simpkin, I Taylor, A Preece, GA Bent, R Tomsett, RK Ganti, ... MILCOM 2019-2019 IEEE Military Communications Conference (MILCOM), 784-789, 2019 | 4 | 2019 |
| Doc2img: A new approach to vectorization of documents SR SrirangamSridharan, M Srivatsa, R Ganti, C Simpkin 2018 21st international conference on information fusion (fusion), 2172-2178, 2018 | 4 | 2018 |
| Energy efficient spiking neural network neuromorphic processing to enable decentralised service workflow composition in support of multi-domain operations G Bent, C Simpkin, Y Li, A Preece Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2022 | 3 | 2022 |
| A vector symbolic approach for cognitive services and decentralized workflows C Simpkin Cardiff University, 2021 | 2 | 2021 |
| Enabling discoverable trusted services for highly dynamic decentralized workflows I Barclay, C Simpkin, G Bent, T La Porta, D Millar, A Preece, I Taylor, ... 2020 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS), 41-48, 2020 | 2 | 2020 |
| Machine learning approaches for small data in sensor fusion applications D Verma, G Bent, G de Mel, C Simpkin Ground/Air Multisensor Interoperability, Integration, and Networking for …, 2018 | 2 | 2018 |
| Semantic workflow encoding using vector symbolic architectures C Simpkin, I Taylor, GA Bent, G de Mel, S Rallapalli | 1 | 2017 |
| The generative policy approach for dynamic collaboration in coalition environments D Verma, E Bertino, S Calo, C Williams, C Simpkin Ground/Air Multisensor Interoperability, Integration, and Networking for …, 2018 | | 2018 |
| Constructing Distributed Time-Critical Applications Using a Vector Symbolic Architecture C Simpkin, I Taylor, G Bent, G de Mel, RK Ganti | | |
Graham BentNeurosynapse Ltd在 uk.ibm.com 的电子邮件经过验证
