Wynne HSU
Wynne HSU
Professor of Computer Science, National Univeristy of Singapore
Verified email at
Cited by
Cited by
Integrating classification and association rule mining
B Liu, W Hsu, Y Ma
Proceedings of the fourth international conference on knowledge discovery …, 1998
Development and validation of a deep learning system for diabetic retinopathy and related eye diseases using retinal images from multiethnic populations with diabetes
DSW Ting, CYL Cheung, G Lim, GSW Tan, ND Quang, A Gan, H Hamzah, ...
Jama 318 (22), 2211-2223, 2017
Mining association rules with multiple minimum supports
B Liu, W Hsu, Y Ma
Proceedings of the fifth ACM SIGKDD international conference on Knowledge …, 1999
Pruning and summarizing the discovered associations
B Liu, W Hsu, Y Ma
Proceedings of the fifth ACM SIGKDD international conference on Knowledge …, 1999
Current research in the conceptual design of mechanical products
W Hsu, IMY Woon
Computer-Aided Design 30 (5), 377-389, 1998
Analyzing the subjective interestingness of association rules
B Liu, W Hsu, S Chen, Y Ma
IEEE Intelligent Systems and their Applications 15 (5), 47-55, 2000
A prime number labeling scheme for dynamic ordered XML trees
X Wu, ML Lee, W Hsu
Proceedings. 20th International Conference on Data Engineering, 66-78, 2004
XClust: clustering XML schemas for effective integration
ML Lee, LH Yang, W Hsu, X Yang
Proceedings of the eleventh international conference on Information and …, 2002
Using General Impressions to Analyze Discovered Classification Rules.
B Liu, W Hsu, S Chen
KDD, 31-36, 1997
An integrated color-spatial approach to content-based image retrieval
W Hsu, ST Chua, HH Pung
Proceedings of the third ACM international conference on Multimedia, 305-313, 1995
Retinal vascular tortuosity, blood pressure, and cardiovascular risk factors
CY Cheung, Y Zheng, W Hsu, ML Lee, QP Lau, P Mitchell, JJ Wang, ...
Ophthalmology 118 (5), 812-818, 2011
Supporting frequent updates in r-trees: A bottom-up approach
ML Lee, W Hsu, CS Jensen, B Cui, KL Teo
Proceedings 2003 VLDB Conference, 608-619, 2003
An effective approach to detect lesions in color retinal images
H Wang, W Hsu, KG Goh, ML Lee
Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR …, 2000
Artificial intelligence using deep learning to screen for referable and vision-threatening diabetic retinopathy in Africa: a clinical validation study
V Bellemo, ZW Lim, G Lim, QD Nguyen, Y Xie, MYT Yip, H Hamzah, J Ho, ...
The Lancet Digital Health 1 (1), e35-e44, 2019
Quantitative and qualitative retinal microvascular characteristics and blood pressure
CY Cheung, WT Tay, P Mitchell, JJ Wang, W Hsu, ML Lee, QP Lau, ...
Journal of hypertension 29 (7), 1380-1391, 2011
Post-analysis of learned rules
B Liu, W Hsu
AAAI/IAAI, Vol. 1, 828-834, 1996
Image mining: Trends and developments
W Hsu, ML Lee, J Zhang
Journal of intelligent information systems 19, 7-23, 2002
Finding interesting patterns using user expectations
B Liu, W Hsu, LF Mun, HY Lee
IEEE Transactions on Knowledge and Data Engineering 11 (6), 817-832, 1999
The retinal vasculature as a fractal: methodology, reliability, and relationship to blood pressure
G Liew, JJ Wang, N Cheung, YP Zhang, W Hsu, ML Lee, P Mitchell, ...
Ophthalmology 115 (11), 1951-1956. e1, 2008
Quantitative assessment of early diabetic retinopathy using fractal analysis
N Cheung, KC Donaghue, G Liew, SL Rogers, JJ Wang, SW Lim, ...
Diabetes care 32 (1), 106-110, 2009
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