| 2008 |
|---|
| 20 | EE | Wenjia Wang:
Some fundamental issues in ensemble methods.
IJCNN 2008: 2243-2250 |
| 19 | EE | Geoffrey R. Guile,
Wenjia Wang:
Relationship between depth of decision trees and boosting performance.
IJCNN 2008: 2267-2274 |
| 18 | EE | Geoffrey R. Guile,
Wenjia Wang:
Boosting for feature selection for microarray data analysis.
IJCNN 2008: 2559-2563 |
| 17 | EE | Wenjia Wang,
Phuong Thanh Cao-Thai:
Novel position-coded methods for mining web access patterns.
ISI 2008: 194-196 |
| 2007 |
|---|
| 16 | EE | Geoffrey R. Guile,
Wenjia Wang:
Enhancing Boosting by Feature Non-Replacement for Microarray Data Analysis.
IJCNN 2007: 430-435 |
| 15 | EE | 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 | EE | Shun Bian,
Wenjia Wang:
Investigation on Diversity in Homogeneous and Heterogeneous Ensembles.
IJCNN 2006: 3078-3085 |
| 13 | EE | Graeme Richards,
Wenjia Wang:
Investigations on the Characteristics of Random Decision Tree Ensembles.
IJCNN 2006: 5140-5147 |
| 12 | EE | 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 | EE | 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 | EE | Karl J. Brazier,
Graeme Richards,
Wenjia Wang:
Implicit Fitness Sharing Speciation and Emergent Diversity in Tree Classifier Ensembles.
IDEAL 2004: 333-338 |
| 7 | EE | Reda Younsi,
Wenjia Wang:
A New Artificial Immune System Algorithm for Clustering.
IDEAL 2004: 58-64 |
| 2002 |
|---|
| 6 | EE | Wenjia Wang:
Quantifying Relevance of Input Features.
IDEAL 2002: 588-594 |
| 2001 |
|---|
| 5 | EE | 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 | EE | 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 | EE | 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 |
