| Extracting relational explanations from deep neural networks: A survey from a neural-symbolic perspective J Townsend, T Chaton, JM Monteiro IEEE transactions on neural networks and learning systems 31 (9), 3456-3470, 2019 | 71 | 2019 |
| Method and apparatus for generating time series data sets for predictive analysis J Townsend, EM RODRIGUES US Patent 10,185,893, 2019 | 24 | 2019 |
| ERIC: Extracting Relations Inferred from Convolutions J Townsend, T Kasioumis, H Inakoshi Proceedings of the Asian Conference on Computer Vision, 2020 | 17 | 2020 |
| Artificial development of biologically plausible neural-symbolic networks J Townsend, E Keedwell, A Galton Cognitive Computation 6, 18-34, 2014 | 15 | 2014 |
| Imagification technology and deep learning accelerating defect detection in non-destructive testing for wind turbine blades S Furuya, A Sanaee, S Georgescu, J Townsend, B Rasmussen, P Chow, ... Fujitsu Sci. Tech. J 55 (2), 23-29, 2019 | 11 | 2019 |
| Elite BackProp: Training Sparse Interpretable Neurons. T Kasioumis, J Townsend, H Inakoshi NeSy, 82-93, 2021 | 10 | 2021 |
| On the Explainability of Convolutional Layers for Multi-Class Problems J Townsend, M Kudla, A Raszkowska, T Kasiousmis Combining Learning and Reasoning: Programming Languages, Formalisms, and …, 2022 | 7 | 2022 |
| Extracting Meaningful High-Fidelity Knowledge from Convolutional Neural Networks KH Ngan, ADA Garcez, J Townsend 2022 International Joint Conference on Neural Networks (IJCNN), 1-17, 2022 | 6 | 2022 |
| A scalable genome representation for neural-symbolic networks J Townsend, A Galton, E Keedwell The Society for the Study of Artificial Intelligence and Simulation of …, 2012 | 3 | 2012 |
| Processing digital image to remove unwanted portion EM RODRIGUES, S Georgescu, J Townsend US Patent 10,896,509, 2021 | 2 | 2021 |
| Evolution of connections in SHRUTI networks J Townsend, EC Keedwell, A Galton Neural-Symbolic Learning and Reasoning, 2013 | 1 | 2013 |
| Artificial development of connections in SHRUTI networks using a multi objective genetic algorithm J Townsend, E Keedwell, A Galton Proceedings of the 15th annual conference companion on Genetic and …, 2013 | 1 | 2013 |
| From explanation to intervention: Interactive knowledge extraction from Convolutional Neural Networks used in radiology KH Ngan, E Mansouri-Benssassi, J Phelan, J Townsend, AA Garcez Plos one 19 (4), e0293967, 2024 | | 2024 |
| Kernel transfer KH Ngan, A Garcez, J Townsend US Patent App. 18/081,719, 2023 | | 2023 |
| Knowledge Transfer S Makariou, T Kasioumis, J Townsend US Patent App. 18/102,411, 2023 | | 2023 |
| Quantization method to improve the fidelity of rule extraction algorithms for use with artificial neural networks T Kasioumis, J Townsend US Patent App. 18/091,410, 2023 | | 2023 |
| Image classification method and apparatus, and method and apparatus for improving training of an image classifier J Townsend US Patent App. 17/713,240, 2023 | | 2023 |
| Closing the Neural-Symbolic Cycle: Knowledge Extraction, User Intervention and Distillation from Convolutional Neural Networks KH Ngan, J Phelan, E Mansouri-Benssassi, J Townsend, ... CEUR Workshop Proceedings 3432, 19-43, 2023 | | 2023 |
| Detecting portions of interest in images J Townsend US Patent 10,748,274, 2020 | | 2020 |
| ORE Open Research Exeter J Townsend, EC Keedwell, A Galton | | 2016 |
