| 2007 |
|---|
| 12 | EE | Kezhi Mao,
Wenyin Tang:
Correlation-Based Relevancy and Redundancy Measures for Efficient Gene Selection.
PRIB 2007: 230-241 |
| 11 | EE | Wenyin Tang,
K. Z. Mao:
Feature selection algorithm for mixed data with both nominal and continuous features.
Pattern Recognition Letters 28(5): 563-571 (2007) |
| 2006 |
|---|
| 10 | EE | Xin Zhou,
K. Z. Mao:
The ties problem resulting from counting-based error estimators and its impact on gene selection algorithms.
Bioinformatics 22(20): 2507-2515 (2006) |
| 9 | EE | Xin Zhou,
K. Z. Mao:
Regularization Network-based Gene Selection for Microarray Data Analysis.
Int. J. Neural Syst. 16(5): 341-352 (2006) |
| 2005 |
|---|
| 8 | EE | Xin Zhou,
Kezhi Mao:
Gene Selection of DNA Microarray Data Based on Regularization Networks.
IDEAL 2005: 414-421 |
| 7 | EE | Wenyin Tang,
Kezhi Mao:
Feature Selection Algorithm for Data with Both Nominal and Continuous Features.
PAKDD 2005: 683-688 |
| 6 | EE | Xin Zhou,
K. Z. Mao:
LS Bound based gene selection for DNA microarray data.
Bioinformatics 21(8): 1559-1564 (2005) |
| 5 | EE | K. Z. Mao:
Identifying critical variables of principal components for unsupervised feature selection.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 35(2): 339-344 (2005) |
| 2004 |
|---|
| 4 | EE | K. Z. Mao:
Feature subset selection for support vector machines through discriminative function pruning analysis.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 34(1): 60-67 (2004) |
| 2002 |
|---|
| 3 | EE | Kar-Ann Toh,
K. Z. Mao:
A Global Transformation Approach to RBF Neural Network Learning.
ICPR (2) 2002: 96-99 |
| 1999 |
|---|
| 2 | EE | K. Z. Mao,
S. A. Billings,
Q. M. Zhu:
A regularized rational model estimation algorithm.
Int. J. Systems Science 30(5): 455-465 (1999) |
| 1998 |
|---|
| 1 | EE | S. A. Billings,
K. Z. Mao:
Structure detection for nonlinear rational models using genetic algorithms.
Int. J. Systems Science 29(3): 223-231 (1998) |
