2007 |
11 | | Sio Iong Ao,
Oscar Castillo,
Craig Douglas,
David Dagan Feng,
Jeong-A. Lee:
Proceedings of the International MultiConference of Engineers and Computer Scientists 2007, IMECS 2007, March 21-23, 2007, Hong Kong, China
Newswood Limited 2007 |
10 | | Sio Iong Ao,
Leonid Gelman,
David W. L. Hukins,
Andrew Hunter,
A. M. Korsunsky:
Proceedings of the World Congress on Engineering, WCE 2007, London, UK, 2-4 July, 2007
Newswood Limited 2007 |
9 | EE | Pak Chung Sham,
Sio Iong Ao,
J. S. H. Kwan,
P. Kao,
F. Cheung,
Pui-Yee Fong,
Michael K. Ng:
Combining functional and linkage disequilibrium information in the selection of tag SNPs.
Bioinformatics 23(1): 129-131 (2007) |
8 | EE | Sio Iong Ao,
Michael K. Ng,
Pak Chung Sham:
Constrained unidimensional scaling with application to genomics.
Computational Statistics & Data Analysis 52(1): 201-210 (2007) |
2006 |
7 | | Sio Iong Ao,
Jeong-A. Lee,
Oscar Castillo,
Pranay Chaudhuri,
David Dagan Feng:
Proceedings of the International MultiConference of Engineers and Computer Scientists 2006, IMECS '06, June 20-22, 2006, Hong Kong, China
Newswood Limited 2006 |
6 | EE | Michael K. Ng,
Mark Junjie Li,
Sio Iong Ao,
Pak Chung Sham,
Yiu-ming Cheung,
Joshua Zhexue Huang:
Clustering of SNP Data with Application to Genomics.
ICDM Workshops 2006: 158-162 |
5 | | Sio Iong Ao:
A framework for neural network to make business forecasting with hybrid VAR and GA components.
Engineering Letters 13(1): 24-29 (2006) |
4 | EE | Sio Iong Ao,
Michael K. Ng:
Gene expression time series modeling with principal component and neural network.
Soft Comput. 10(4): 351-358 (2006) |
2005 |
3 | EE | Sio Iong Ao,
Kevin Y. Yip,
Michael K. Ng,
David Wai-Lok Cheung,
Pui-Yee Fong,
Ian Melhado,
Pak Chung Sham:
CLUSTAG: hierarchical clustering and graph methods for selecting tag SNPs.
Bioinformatics 21(8): 1735-1736 (2005) |
2003 |
2 | EE | Sio Iong Ao:
Automating Stock Prediction with Neural Network and Evolutionary Computation.
IDEAL 2003: 203-210 |
1 | | Sio Iong Ao:
Incorporating Correlated Markets' Prices into Stock Modeling with Neural Network.
Modelling and Simulation 2003: 353-358 |