Frans Coenen

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Trevor J M Bench-CaponUniversity of Liverpool, Department of Computer ScienceVerified email at csc.liv.ac.uk
Yalin ZhengUniversity of LiverpoolVerified email at liv.ac.uk
Bailing ZhangSchool of Computer and Data Engineering, Ningbo Tech UniversityVerified email at nit.zju.edu.cn
Mohd Hanafi Ahmad HijaziAssociate Professor of Computer Science, Universiti Malaysia Sabah, Sabah, MalaysiaVerified email at ums.edu.my
Danushka BollegalaProfessor, The University of Liverpool, DMML, Amazon.comVerified email at amazon.com
Katie AtkinsonProfessor of Computer Science, University of LiverpoolVerified email at liverpool.ac.uk
Harry PrattUniversity of LiverpoolVerified email at liv.ac.uk
Yong YueXi'an Jiaotong-liverpool UniversityVerified email at xjtlu.edu.cn
Puteri N E NohuddinHigher Colleges of TechnologyVerified email at hct.ac.ae
Maya WardehUniversity of LiverpoolVerified email at liverpool.ac.uk
Robert ChristleyInstitute of Infection and Global Health, University of LiverpoolVerified email at liverpool.ac.uk
Wenjin LuComputer Science and Software Engineering, Xi'an Jiaotong-Liverpool UniversityVerified email at xjtlu.edu.cn
Robert SandersonDirector for Cultural Heritage Metadata, Yale UniversityVerified email at yale.edu
Ashraf ElsayedAssistant Professor of Computer Science, Faculty of Science, Alexandria UniversityVerified email at alexu.edu.eg
Alexei LisitsaUniversity of LiverpoolVerified email at liverpool.ac.uk
Shakil AhmedUniversity of LiverpoolVerified email at liverpool.ac.uk
Lu ZhangPeking UniversityVerified email at sei.pku.edu.cn
Christian SetzkornUniversity of Liverpool, Liverpool, United KingdomVerified email at liv.ac.uk
Qin XinFull Professor of Computer Science, University of the Faroe IslandsVerified email at setur.fo
Clare DixonUniversity of ManchesterVerified email at manchester.ac.uk

Frans Coenen

Professor in Computer Science, University of Liverpool, Data Mining and Machine Learning Group

Verified email at liverpool.ac.uk - Homepage

Machine Learning Big Data Data Science Applied Data Mining DMML


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Convolutional neural networks for diabetic retinopathy H Pratt, F Coenen, DM Broadbent, SP Harding, Y Zheng Procedia computer science 90, 200-205, 2016	1024	2016
A survey of frequent subgraph mining algorithms C Jiang, F Coenen, M Zito The Knowledge Engineering Review 28 (1), 75-105, 2013	491	2013
Isomorphism and legal knowledge based systems TJM Bench-Capon, FP Coenen Artificial Intelligence and Law 1, 65-86, 1992	215	1992
Driving posture recognition by convolutional neural networks C Yan, F Coenen, B Zhang IET Computer Vision 10 (2), 103-114, 2016	190	2016
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	185	2004
Tree structures for mining association rules F Coenen, G Goulbourne, P Leng Data Mining and Knowledge Discovery 8, 25-51, 2004	183	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	176	2010
Fcnn: Fourier convolutional neural networks H Pratt, B Williams, F Coenen, Y Zheng Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017	171	2017
Data mining: past, present and future F Coenen The Knowledge Engineering Review 26 (1), 25-29, 2011	164	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	153	2015
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
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	146	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	124	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	115	2012
Maintenance of knowledge-based systems: theory, techniques and tools F Coenen, TJ Bench-Capon (No Title), 1993	105	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
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	93	2007
Knowledge-based collision avoidance FP Coenen, GP Smeaton, AG Bole The Journal of Navigation 42 (1), 107-116, 1989	88	1989
Threshold tuning for improved classification association rule mining F Coenen, P Leng, L Zhang Advances in Knowledge Discovery and Data Mining: 9th Pacific-Asia Conference …, 2005	86	2005

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