Samuel H. Huang

	2012
16		Samuel H. Huang, Dengyao Mo, Jarek Meller, Michael Wagner: Identifying a small set of marker genes using minimum expected cost of misclassification. Artificial Intelligence in Medicine 55(1): 51-59 (2012)
15		Rongsheng Gong, Samuel H. Huang: A Kolmogorov-Smirnov statistic based segmentation approach to learning from imbalanced datasets: With application in property refinance prediction. Expert Syst. Appl. 39(6): 6192-6200 (2012)
14		Dengyao Mo, Samuel H. Huang: Fractal-Based Intrinsic Dimension Estimation and Its Application in Dimensionality Reduction. IEEE Trans. Knowl. Data Eng. 24(1): 59-71 (2012)
	2011
13		Dengyao Mo, Samuel H. Huang: Feature selection based on inference correlation. Intell. Data Anal. 15(3): 375-398 (2011)
12		Samuel H. Huang, Hua Li, Dengyao Mo, Lawson R. Wulsin: Mining large medical claims database to identify high-risk patients: The case of antidepressant utilization. Wiley Interdisc. Rew.: Data Mining and Knowledge Discovery 1(2): 154-163 (2011)
	2009
11		Samuel H. Huang, Lawson R. Wulsin, Hua Li, Jeff Guo: Dimensionality reduction for knowledge discovery in medical claims database: Application to antidepressant medication utilization study. Computer Methods and Programs in Biomedicine 93(2): 115-123 (2009)
	2008
10		Tieming Chen, Samuel H. Huang: Tree parity machine-based One-Time Password authentication schemes. IJCNN 2008: 257-261
9		Rongsheng Gong, Samuel H. Huang, Tieming Chen: Robust and Efficient Rule Extraction Through Data Summarization and Its Application in Welding Fault Diagnosis. IEEE Trans. Industrial Informatics 4(3): 198-206 (2008)
	2007
8		Ranganath Kothamasu, Samuel H. Huang: Adaptive Mamdani fuzzy model for condition-based maintenance. Fuzzy Sets and Systems 158(24): 2715-2733 (2007)
7		Nuo Xu, Samuel H. Huang, Y. Kevin Rong: Automatic setup planning: current state-of-the-art and future perspective. IJMTM 11(2): 193-208 (2007)
6		Samuel H. Huang, Ranganath Kothamasu, Niharika Rapur: Iterative imputation algorithms for process modeling with incomplete data. Intell. Data Anal. 11(2): 189-202 (2007)
5		Kai Hu, Samuel H. Huang: Solving inverse problems using Particle Swarm Optimization: An application to aircraft fuel measurement considering sensor failure. Intell. Data Anal. 11(4): 421-434 (2007)
	2003
4		Hao Xing, Samuel H. Huang, J. Shi: Rapid development of knowledge-based systems via integrated knowledge acquisition. AI EDAM 17(3): 221-234 (2003)
3		Samuel H. Huang: Dimensionality Reduction in Automatic Knowledge Acquisition: A Simple Greedy Search Approach. IEEE Trans. Knowl. Data Eng. 15(6): 1364-1373 (2003)
	2002
2		Samuel H. Huang, Hao Xing: Extract intelligible and concise fuzzy rules from neural networks. Fuzzy Sets and Systems 132(2): 233-243 (2002)
	1997
1		Samuel H. Huang, Mica R. Endsley: Providing understanding of the behavior of feedforward neural networks. IEEE Transactions on Systems, Man, and Cybernetics, Part B 27(3): 465-474 (1997)

Coauthor Index

1	Tieming Chen	[9] [10]
2	Mica R. Endsley	[1]
3	Rongsheng Gong	[9] [15]
4	Jeff Guo	[11]
5	Kai Hu	[5]
6	Ranganath Kothamasu	[6] [8]
7	Hua Li	[11] [12]
8	Jarek Meller	[16]
9	Dengyao Mo	[12] [13] [14] [16]
10	Niharika Rapur	[6]
11	Y. Kevin Rong	[7]
12	J. Shi	[4]
13	Michael Wagner	[16]
14	Lawson R. Wulsin	[11] [12]
15	Hao Xing	[2] [4]
16	Nuo Xu	[7]

Colors in the list of coauthors

Last update Thu May 31 18:55:10 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page