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Publications of Author

1. Lijuan Cao, Francis Eng Hock Tay
   Neuro-Genetic Based Method to the Classification of Acupuncture Needle: A Case Study. [Citation Graph (0, 0)][DBLP]
   GECCO, 1999, pp:99-105 [Conf]
   
2. Lijuan Cao, Francis Eng Hock Tay, Ma Lawrence, Wai Cheong Yeong
   Classification of the Market States Using Neural Network. [Citation Graph (0, 0)][DBLP]
   GECCO, 1999, pp:776- [Conf]
   
3. Lijuan Cao, Francis Eng Hock Tay
   Feature Selection for Support Vector Machines. [Citation Graph (0, 0)][DBLP]
   IDEAL, 2000, pp:268-273 [Conf]
   
4. Lijuan Cao, Francis Eng Hock Tay
   epsilon-Descending Support Vector Machines for Financial Time Series Forecasting. [Citation Graph (0, 0)][DBLP]
   IDEAL, 2000, pp:274-279 [Conf]
   
5. Lijuan Cao, Qingming Gu
   Dynamic support vector machines for non-stationary time series forecasting. [Citation Graph (0, 0)][DBLP]
   Intell. Data Anal., 2002, v:6, n:1, pp:67-83 [Journal]
   
6. Francis Eng Hock Tay, Lijuan Cao
   A comparative study of saliency analysis and genetic algorithm for feature selection in support vector machines. [Citation Graph (0, 0)][DBLP]
   Intell. Data Anal., 2001, v:5, n:3, pp:191-209 [Journal]
   
7. Francis Eng Hock Tay, Lijuan Cao
   Improved financial time series forecasting by combining Support Vector Machines with self-organizing feature map. [Citation Graph (0, 0)][DBLP]
   Intell. Data Anal., 2001, v:5, n:4, pp:339-354 [Journal]
   
8. Lijuan Cao, Lim Kian Guan, Zhang Jingqing
   Bond rating using support vector machine. [Citation Graph (0, 0)][DBLP]
   Intell. Data Anal., 2006, v:10, n:3, pp:285-296 [Journal]
   
9. Lijuan Cao
   Support vector machines experts for time series forecasting. [Citation Graph (0, 0)][DBLP]
   Neurocomputing, 2003, v:51, n:, pp:321-339 [Journal]
   
10. Francis Eng Hock Tay, Lijuan Cao
    Modified support vector machines in financial time series forecasting. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:48, n:1-4, pp:847-861 [Journal]
    
11. Lijuan Cao, Francis Eng Hock Tay
    Financial Forecasting Using Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 2001, v:10, n:2, pp:184-192 [Journal]
    
12. Francis Eng Hock Tay, Lijuan Cao
    epsiv Descending Support Vector Machines for Financial Time Series Forecasting. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2002, v:15, n:2, pp:179-195 [Journal]
    
13. Lijuan Cao, Heow Pueh Lee, Wai Keong Chong
    Modified support vector novelty detector using training data with outliers. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2003, v:24, n:14, pp:2479-2487 [Journal]
    
14. 
    Mining Weight Information from a Triangular Fuzzy Number Preference. [Citation Graph (, )][DBLP]
    
    
15. 
    Efficient Fault Tolerant Topology Control for Three-Dimensional Wireless Networks. [Citation Graph (, )][DBLP]
    
    
16. 
    A Hybrid Anycast Routing Protocol for Load Balancing in Heterogeneous Access Networks. [Citation Graph (, )][DBLP]
    
    
17. 
    Performance Evaluation of Energy Efficient Ad Hoc Routing Protocols. [Citation Graph (, )][DBLP]
    
    
18. 
    Path cost metrics for multi-hop network routing. [Citation Graph (, )][DBLP]