Convolutional neural networks for diabetic retinopathy H Pratt, F Coenen, DM Broadbent, SP Harding, Y Zheng Procedia computer science 90, 200-205, 2016 | 962 | 2016 |
A survey of frequent subgraph mining algorithms C Jiang, F Coenen, M Zito The Knowledge Engineering Review 28 (1), 75-105, 2013 | 469 | 2013 |
Isomorphism and legal knowledge based systems TJM Bench-Capon, FP Coenen Artificial Intelligence and Law 1, 65-86, 1992 | 212 | 1992 |
Driving posture recognition by convolutional neural networks C Yan, F Coenen, B Zhang IET Computer Vision 10 (2), 103-114, 2016 | 186 | 2016 |
Tree structures for mining association rules F Coenen, G Goulbourne, P Leng Data Mining and Knowledge Discovery 8, 25-51, 2004 | 183 | 2004 |
Data structure for association rule mining: T-trees and P-trees F Coenen, P Leng, S Ahmed IEEE Transactions on Knowledge and Data Engineering 16 (6), 774-778, 2004 | 182 | 2004 |
Text classification using graph mining-based feature extraction C Jiang, F Coenen, R Sanderson, M Zito Research and Development in Intelligent Systems XXVI: Incorporating …, 2010 | 173 | 2010 |
Fcnn: Fourier convolutional neural networks H Pratt, B Williams, F Coenen, Y Zheng Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017 | 152 | 2017 |
Data mining: past, present and future F Coenen The Knowledge Engineering Review 26 (1), 25-29, 2011 | 151 | 2011 |
A new method for mining frequent weighted itemsets based on WIT-trees B Vo, F Coenen, B Le Expert Systems with Applications 40 (4), 1256-1264, 2013 | 148 | 2013 |
Robust Chinese traffic sign detection and recognition with deep convolutional neural network R Qian, B Zhang, Y Yue, Z Wang, F Coenen 2015 11th International Conference on Natural Computation (ICNC), 791-796, 2015 | 144 | 2015 |
One-class kernel subspace ensemble for medical image classification Y Zhang, B Zhang, F Coenen, J Xiao, W Lu EURASIP Journal on Advances in Signal Processing 2014, 1-13, 2014 | 139 | 2014 |
Breast cancer diagnosis from biopsy images with highly reliable random subspace classifier ensembles Y Zhang, B Zhang, F Coenen, W Lu Machine vision and applications 24 (7), 1405-1420, 2013 | 121 | 2013 |
Automated “disease/no disease” grading of age-related macular degeneration by an image mining approach Y Zheng, MHA Hijazi, F Coenen Investigative ophthalmology & visual science 53 (13), 8310-8318, 2012 | 112 | 2012 |
Maintenance of knowledge-based systems: theory, techniques and tools F Coenen, TJ Bench-Capon (No Title), 1993 | 103 | 1993 |
Algorithms for computing association rules using a partial-support tree G Goulbourne, F Coenen, P Leng Research and Development in Intelligent Systems XVI: Proceedings of ES99 …, 2000 | 102 | 2000 |
Research and development in intelligent systems XVI MAMA Bramer, A Macintosh, F Coenen Springer, 1999 | 99* | 1999 |
Mining frequent itemsets using the N-list and subsume concepts B Vo, T Le, F Coenen, TP Hong International Journal of Machine Learning and Cybernetics 7, 253-265, 2016 | 98 | 2016 |
The effect of threshold values on association rule based classification accuracy F Coenen, P Leng Data & Knowledge Engineering 60 (2), 345-360, 2007 | 95 | 2007 |
Knowledge-based collision avoidance FP Coenen, GP Smeaton, AG Bole The Journal of Navigation 42 (1), 107-116, 1989 | 87 | 1989 |