Wenjia Wang

	2009
21		Qiao Li, Wenjia Wang, Alexander J. MacGregor, George Smith: A Hybrid Method of Multidimensional Scaling and Clustering for Determining Genetic Influence on Phenotypes. ADMA 2009: 520-527
	2008
20		Wenjia Wang: Some fundamental issues in ensemble methods. IJCNN 2008: 2243-2250
19		Geoffrey R. Guile, Wenjia Wang: Relationship between depth of decision trees and boosting performance. IJCNN 2008: 2267-2274
18		Geoffrey R. Guile, Wenjia Wang: Boosting for feature selection for microarray data analysis. IJCNN 2008: 2559-2563
17		Wenjia Wang, Phuong Thanh Cao-Thai: Novel position-coded methods for mining web access patterns. ISI 2008: 194-196
	2007
16		Geoffrey R. Guile, Wenjia Wang: Enhancing Boosting by Feature Non-Replacement for Microarray Data Analysis. IJCNN 2007: 430-435
15		Shun Bian, Wenjia Wang: On diversity and accuracy of homogeneous and heterogeneous ensembles. Int. J. Hybrid Intell. Syst. 4(2): 103-128 (2007)
	2006
14		Shun Bian, Wenjia Wang: Investigation on Diversity in Homogeneous and Heterogeneous Ensembles. IJCNN 2006: 3078-3085
13		Graeme Richards, Wenjia Wang: Investigations on the Characteristics of Random Decision Tree Ensembles. IJCNN 2006: 5140-5147
12		Graeme Richards, Karl J. Brazier, Wenjia Wang: Feature salience definition and estimation and its use in feature subset selection. Intell. Data Anal. 10(1): 3-21 (2006)
	2005
11		Graeme Richards, Karl J. Brazier, Wenjia Wang: A Fast Wrapper Method for Feature Subset Selection. Artificial Intelligence and Applications 2005: 54-59
10		Shun Bian, Wenjia Wang: Improving Classification for Microarray Data Sets by Constructing Synthetic Data. CIS (1) 2005: 809-814
9		Graeme Richards, Karl J. Brazier, Wenjia Wang: The Definition and Estimation of Feature Salience in Databases. Databases and Applications 2005: 7-12
	2004
8		Karl J. Brazier, Graeme Richards, Wenjia Wang: Implicit Fitness Sharing Speciation and Emergent Diversity in Tree Classifier Ensembles. IDEAL 2004: 333-338
7		Reda Younsi, Wenjia Wang: A New Artificial Immune System Algorithm for Clustering. IDEAL 2004: 58-64
	2002
6		Wenjia Wang: Quantifying Relevance of Input Features. IDEAL 2002: 588-594
	2001
5		Derek Partridge, Wenjia Wang, Phillis Jones: Efficient and Effective Feature Selection in the Presence of Feature Interaction and Noise. ICAPR 2001: 196-201
4		Wenjia Wang, Phillis Jones, Derek Partridge: A Comparative Study of Feature-Salience Ranking Techniques. Neural Computation 13(7): 1603-1623 (2001)
	2000
3		Wenjia Wang, Phillis Jones, Derek Partridge: Diversity between Neural Networks and Decision Trees for Building Multiple Classifier Systems. Multiple Classifier Systems 2000: 240-249
2		Wenjia Wang, Phillis Jones, Derek Partridge: Assessing the Impact of Input Features in a Feedforward Neural Network. Neural Computing and Applications 9(2): 101-112 (2000)
	1998
1		Wenjia Wang, Derek Partridge, Sarah Rae: Multi-Version Systems of Neural Networks for Predicting the Risk of Osteoporosis. FLAIRS Conference 1998: 317-321

Coauthor Index

1	Shun Bian	[10] [14] [15]
2	Karl J. Brazier	[8] [9] [11] [12]
3	Phuong Thanh Cao-Thai	[17]
4	Geoffrey R. Guile	[16] [18] [19]
5	Phillis Jones	[2] [3] [4] [5]
6	Qiao Li	[21]
7	Alexander J. MacGregor	[21]
8	Derek Partridge	[1] [2] [3] [4] [5]
9	Sarah Rae	[1]
10	Graeme Richards	[8] [9] [11] [12] [13]
11	George Smith	[21]
12	Reda Younsi	[7]

Colors in the list of coauthors