| Convolutional neural networks for diabetic retinopathy H Pratt, F Coenen, DM Broadbent, SP Harding, Y Zheng Procedia computer science 90, 200-205, 2016 | 1160 | 2016 |
| A survey of frequent subgraph mining algorithms C Jiang, F Coenen, M Zito The Knowledge Engineering Review 28 (1), 75-105, 2013 | 534 | 2013 |
| Fcnn: Fourier convolutional neural networks H Pratt, B Williams, F Coenen, Y Zheng Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017 | 224 | 2017 |
| Isomorphism and legal knowledge based systems TJM Bench-Capon, FP Coenen Artificial Intelligence and Law 1 (1), 65-86, 1992 | 217 | 1992 |
| Driving posture recognition by convolutional neural networks C Yan, F Coenen, B Zhang IET Computer Vision 10 (2), 103-114, 2016 | 214 | 2016 |
| Tree structures for mining association rules F Coenen, G Goulbourne, P Leng Data Mining and Knowledge Discovery 8 (1), 25-51, 2004 | 190 | 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 …, 2009 | 178 | 2009 |
| Data mining: past, present and future F Coenen The Knowledge Engineering Review 26 (1), 25-29, 2011 | 168 | 2011 |
| 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 | 166 | 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), 17, 2014 | 150 | 2014 |
| 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 |
| 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 | 126 | 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 | 120 | 2012 |
| 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 (2), 253-265, 2016 | 103 | 2016 |
| Algorithms for computing association rules using a partial-support tree G Goulbourne, F Coenen, P Leng Knowledge-Based Systems 13 (2-3), 141-149, 2000 | 103 | 2000 |
| Maintenance of knowledge-based systems: theory, techniques and tools F Coenen, TJ Bench-Capon (No Title), 1993 | 100 | 1993 |
| Knowledge-based collision avoidance FP Coenen, GP Smeaton, AG Bole The Journal of Navigation 42 (1), 107-116, 1989 | 93 | 1989 |
| The effect of threshold values on association rule based classification accuracy F Coenen, P Leng Data & Knowledge Engineering 60 (2), 345-360, 2007 | 92 | 2007 |
| Threshold tuning for improved classification association rule mining F Coenen, P Leng, L Zhang Pacific-Asia Conference on Knowledge Discovery and Data Mining, 216-225, 2005 | 90 | 2005 |
Yalin ZhengUniversity of LiverpoolVerified email at liv.ac.uk
