| 2008 |
|---|
| 22 | EE | Xue-wen Chen,
Mei Liu,
Yong Hu:
Integrative Neural Network Approach for Protein Interaction Prediction from Heterogeneous Data.
ADMA 2008: 532-539 |
| 21 | EE | Xue-wen Chen,
Michael Wasikowski:
FAST: a roc-based feature selection metric for small samples and imbalanced data classification problems.
KDD 2008: 124-132 |
| 20 | EE | Xue-wen Chen,
Gopalakrishna Anantha,
Xiaotong Lin:
Improving Bayesian Network Structure Learning with Mutual Information-Based Node Ordering in the K2 Algorithm.
IEEE Trans. Knowl. Data Eng. 20(5): 628-640 (2008) |
| 19 | EE | Xue-wen Chen,
Bing Han,
Jianwen Fang,
Ryan J. Haasl:
Large-scale Protein-Protein Interaction prediction using novel kernel methods.
IJDMB 2(2): 145-156 (2008) |
| 18 | EE | Jiangsheng Yu,
Fei Cheng,
Huilin Xiong,
Wanling Qu,
Xue-wen Chen:
A Bayesian approach to support vector machines for the binary classification.
Neurocomputing 72(1-3): 177-185 (2008) |
| 2007 |
|---|
| 17 | EE | Aaron Smalter,
Seak Fei Lei,
Xue-wen Chen:
Human Disease-Gene Classification with Integrative Sequence-Based and Topological Features of Protein-Protein Interaction Networks.
BIBM 2007: 209-216 |
| 16 | EE | Xue-wen Chen,
Jong Cheol Jeong:
Minimum reference set based feature selection for small sample classifications.
ICML 2007: 153-160 |
| 15 | EE | Huilin Xiong,
Ya Zhang,
Xue-wen Chen:
Data-Dependent Kernel Machines for Microarray Data Classification.
IEEE/ACM Trans. Comput. Biology Bioinform. 4(4): 583-595 (2007) |
| 14 | EE | Xue-wen Chen,
Byron Gerlach,
Dechang Chen,
ZhenQiu Liu:
Structural Risk Minimisation based gene expression profiling analysis.
IJBRA 3(2): 153-169 (2007) |
| 2006 |
|---|
| 13 | EE | Alexander Senf,
Xue-wen Chen,
Anne Zhang:
Comparison of One-Class SVM and Two-Class SVM for Fold Recognition.
ICONIP (2) 2006: 140-149 |
| 12 | EE | Xue-wen Chen,
Gopalakrishna Anantha,
Xinkun Wang:
An effective structure learning method for constructing gene networks.
Bioinformatics 22(11): 1367-1374 (2006) |
| 11 | EE | Xue-wen Chen:
Margin-based wrapper methods for gene identification using microarray.
Neurocomputing 69(16-18): 2236-2243 (2006) |
| 10 | EE | Xue-wen Chen,
Xiang-Yan Zeng,
Deborah van Alphen:
Multi-class feature selection for texture classification.
Pattern Recognition Letters 27(14): 1685-1691 (2006) |
| 2005 |
|---|
| 9 | | Huilin Xiong,
Xue-wen Chen:
Optimized Kernel Machine for Cancer Classification Using Gene Expression Data.
CIBCB 2005: 268-274 |
| 8 | EE | Jiangsheng Yu,
Xue-wen Chen:
Bayesian neural network approaches to ovarian cancer identification from high-resolution mass spectrometry data.
ISMB (Supplement of Bioinformatics) 2005: 487-494 |
| 7 | EE | Xue-wen Chen,
Mei Liu:
Prediction of protein-protein interactions using random decision forest framework.
Bioinformatics 21(24): 4394-4400 (2005) |
| 2004 |
|---|
| 6 | EE | Xue-wen Chen,
Huaixin Chen:
Locally optimal search method for identifying genes from microarray data.
ICARCV 2004: 1037-1042 |
| 2003 |
|---|
| 5 | EE | Xue-wen Chen:
Gene Selection for Cancer Classification Using Bootstrapped Genetic Algorithms and Support Vector Machines.
CSB 2003: 504-505 |
| 4 | EE | David Casasent,
Xue-wen Chen:
Radial basis function neural networks for nonlinear Fisher discrimination and Neyman-Pearson classification.
Neural Networks 16(5-6): 529-535 (2003) |
| 3 | EE | David Casasent,
Xue-wen Chen:
New training strategies for RBF neural networks for X-ray agricultural product inspection.
Pattern Recognition 36(2): 535-547 (2003) |
| 2 | EE | Xue-wen Chen:
An improved branch and bound algorithm for feature selection.
Pattern Recognition Letters 24(12): 1925-1933 (2003) |
| 1 | EE | Xue-wen Chen,
Thomas S. Huang:
Facial expression recognition: A clustering-based approach.
Pattern Recognition Letters 24(9-10): 1295-1302 (2003) |
