2008 |
14 | EE | Shih Ta Kuan,
Bang Ye Wu,
Wan-Jui Lee:
Finding Friend Groups in Blogosphere.
AINA Workshops 2008: 1046-1050 |
13 | EE | Wan-Jui Lee,
Robert P. W. Duin:
An Inexact Graph Comparison Approach in Joint Eigenspace.
SSPR/SPR 2008: 35-44 |
12 | EE | Robert P. W. Duin,
Elzbieta Pekalska,
Artsiom Harol,
Wan-Jui Lee,
Horst Bunke:
On Euclidean Corrections for Non-Euclidean Dissimilarities.
SSPR/SPR 2008: 551-561 |
11 | EE | Wan-Jui Lee,
Jun-Shih Chung,
Chen-Sen Ouyang,
Shie-Jue Lee:
Vector Quantization of Images Using a Fuzzy Clustering Method.
Cybernetics and Systems 39(1): 45-60 (2008) |
10 | EE | Wan-Jui Lee,
Jung-Yi Jiang,
Shie-Jue Lee:
Mining fuzzy periodic association rules.
Data Knowl. Eng. 65(3): 442-462 (2008) |
2007 |
9 | EE | Wan-Jui Lee,
Sergey Verzakov,
Robert P. W. Duin:
Kernel Combination Versus Classifier Combination.
MCS 2007: 22-31 |
2006 |
8 | EE | Jiun-Hau Wang,
Wan-Jui Lee,
Shie-Jue Lee:
A Kernel-Based Fuzzy Clustering Algorithm.
ICICIC (1) 2006: 550-553 |
7 | EE | Chih-Cheng Yang,
Wan-Jui Lee,
Shie-Jue Lee:
Learning of Kernel Functions in Support Vector Machines.
IJCNN 2006: 1150-1155 |
2005 |
6 | EE | Chen-Sen Ouyang,
Wan-Jui Lee,
Shie-Jue Lee:
A TSK-type neurofuzzy network approach to system modeling problems.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 35(4): 751-767 (2005) |
2004 |
5 | | Wan-Jui Lee,
Shie-Jue Lee:
An Incremental Algorithm for Discovering Fuzzy Temporal Web Usage Patterns.
International Conference on Internet Computing 2004: 90-96 |
4 | EE | Wan-Jui Lee,
Jung-Yi Jiang,
Shie-Jue Lee:
An efficient algorithm to discover calendar-based temporal association rules.
SMC (4) 2004: 3122-3127 |
3 | EE | Wan-Jui Lee,
Shie-Jue Lee:
Fuzzy Calendar Algebra and Its Applications to Data Mining.
TIME 2004: 71-78 |
2 | EE | Wan-Jui Lee,
Shie-Jue Lee:
Discovery of fuzzy temporal association rules.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 34(6): 2330-2342 (2004) |
2003 |
1 | EE | Wan-Jui Lee,
Shie-Jue Lee:
An Efficient Mining Method for Incremental Updation in Large Databases.
IDEAL 2003: 630-637 |