Xue-wen Chen

	2009
29		Xue-wen Chen, Haixun Wang, Xiaotong Lin: Learning to rank with a novel kernel perceptron method. CIKM 2009: 505-512
28		Xiaotong Lin, Mei Liu, Xue-wen Chen: Assessing reliability of protein-protein interactions by integrative analysis of data in model organisms. BMC Bioinformatics 10(S-4): (2009)
27		Mei Liu, Xue-wen Chen, Raja Jothi: Knowledge-guided inference of domain-domain interactions from incomplete protein-protein interaction networks. Bioinformatics 25(19): 2492-2499 (2009)
26		Xue-wen Chen, Jong Cheol Jeong: Sequence-based prediction of protein interaction sites with an integrative method. Bioinformatics 25(5): 585-591 (2009)
	2008
25		M. Arif Wani, Xue-wen Chen, David Casasent, Lukasz A. Kurgan, Tony Hu, Khalid Hafeez: Seventh International Conference on Machine Learning and Applications, ICMLA 2008, San Diego, California, USA, 11-13 December 2008 IEEE Computer Society 2008
24		Xue-wen Chen, Mei Liu, Yong Hu: Integrative Neural Network Approach for Protein Interaction Prediction from Heterogeneous Data. ADMA 2008: 532-539
23		Xiaotong Lin, Xue-wen Chen: Gene Network Learning Using Regulated Dynamic Bayesian Network Methods. ICMLA 2008: 717-722
22		Xue-wen Chen, Michael Wasikowski: FAST: a roc-based feature selection metric for small samples and imbalanced data classification problems. KDD 2008: 124-132
21		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)
20		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)
19		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
18		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
17		Xue-wen Chen, Jong Cheol Jeong: Minimum reference set based feature selection for small sample classifications. ICML 2007: 153-160
16		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)
15		Xue-wen Chen, Byron Gerlach, Dechang Chen, ZhenQiu Liu: Structural Risk Minimisation based gene expression profiling analysis. IJBRA 3(2): 153-169 (2007)
	2006
14		Alexander Senf, Xue-wen Chen, Anne Zhang: Comparison of One-Class SVM and Two-Class SVM for Fold Recognition. ICONIP (2) 2006: 140-149
13		Huilin Xiong, Xue-wen Chen: Kernel-based distance metric learning for microarray data classification. BMC Bioinformatics 7: 299 (2006)
12		Xue-wen Chen, Gopalakrishna Anantha, Xinkun Wang: An effective structure learning method for constructing gene networks. Bioinformatics 22(11): 1367-1374 (2006)
11		Xue-wen Chen: Margin-based wrapper methods for gene identification using microarray. Neurocomputing 69(16-18): 2236-2243 (2006)
10		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		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		Xue-wen Chen, Mei Liu: Prediction of protein-protein interactions using random decision forest framework. Bioinformatics 21(24): 4394-4400 (2005)
	2004
6		Xue-wen Chen, Huaixin Chen: Locally optimal search method for identifying genes from microarray data. ICARCV 2004: 1037-1042
	2003
5		Xue-wen Chen: Gene Selection for Cancer Classification Using Bootstrapped Genetic Algorithms and Support Vector Machines. CSB 2003: 504-505
4		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		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		Xue-wen Chen: An improved branch and bound algorithm for feature selection. Pattern Recognition Letters 24(12): 1925-1933 (2003)
1		Xue-wen Chen, Thomas S. Huang: Facial expression recognition: A clustering-based approach. Pattern Recognition Letters 24(9-10): 1295-1302 (2003)

Coauthor Index

1	Deborah van Alphen	[10]
2	Gopalakrishna Anantha	[12] [21]
3	David Casasent	[3] [4] [25]
4	Dechang Chen	[15]
5	Huaixin Chen	[6]
6	Fei Cheng	[19]
7	Jianwen Fang	[20]
8	Byron Gerlach	[15]
9	Ryan J. Haasl	[20]
10	Khalid Hafeez	[25]
11	Bing Han	[20]
12	Tony Hu	[25]
13	Yong Hu	[24]
14	Thomas S. Huang	[1]
15	Jong Cheol Jeong	[17] [26]
16	Raja Jothi	[27]
17	Lukasz A. Kurgan	[25]
18	Seak Fei Lei	[18]
19	Xiaotong Lin	[21] [23] [28] [29]
20	Mei Liu	[7] [24] [27] [28]
21	ZhenQiu Liu	[15]
22	Wanling Qu	[19]
23	Alexander Senf	[14]
24	Aaron Smalter	[18]
25	Haixun Wang	[29]
26	Xinkun Wang	[12]
27	M. Arif Wani	[25]
28	Michael Wasikowski	[22]
29	Huilin Xiong	[9] [13] [16] [19]
30	Jiangsheng Yu	[8] [19]
31	Xiang-Yan Zeng	[10]
32	Anne Zhang	[14]
33	Ya Zhang	[16]

Colors in the list of coauthors