​​​​Yuh-Jye Lee​

Yuh-Jye Lee , Yi-Ren Yeh, and Yu-Chiang Frank Wang. "Anomaly Detection via Online Over-Sampling Principal Component Analysis” IEEE Transactions on Knowledge and Data Engineering, Vol. 25, No. 7, Pages 1460-1470, (July 2013). (SCI).

Chien-Chung Chang, Hsing-Kuo Pao, and Yuh-Jye Lee. "An RSVM based Two-teachers-one-student Semi-supervised Learning Algorithm", Neural Networks, Vol. 25, Pages 57-69, (January 2012). (SCI).

Chih-Cheng Chang, Li-Jen Chien and Yuh-Jye Lee. "A Novel Framework for Multi-class Classification via Ternary Smooth Support Vector Machines", Pattern Recognition, Vol. 44, Issue 6, Pages 1235-1244, (June 2011). (SCI).

Pei-Chun Chen, Kuang-Yao Lee, Tsung-Ju Lee, Yuh-Jye Lee and Su-Yun Huang. "Multiclass Support Vector Classification via Coding and Regression", Neurocomputing, Vol. 73, No. 7-9, Pages 1501-1512, (2010). (SCI).

Li-Jen Chien, Chien-Chung Chang and Yuh-Jye Lee. "Variant Methods of Reduced Set Selection for Reduced Support Vector Machines", Journal of Information Science and Engineering, Vol. 26, No. 1, Pages 183-196, (January 2010). (SCIE).

Chun-Nan Hsu, Han-Shen Huang, Yu-Ming Chang and Yuh-Jye Lee. "Periodic step-size adaptation in second-order gradient descent for single-pass on-line structured learning", Machine Learning, Special Issue for Structured Prediction, Pages 195-224, (December 2009). (SCI) .

Wolfgang Härdle, Yuh-Jye Lee, Dorothea Schäfer and Yi-Ren Yeh. "Variable Selection and Over-sampling in the use of Smooth Support Vector Machines for Predicting the Default Risk of Companies", Journal of Forecasting, Vol. 28 Issue 6, Pages 512-534, (September 2009). (SSCI).

Yi-Ren Yeh, Su-Yun Huang and Yuh-Jye Lee. "Nonlinear Dimension Reduction with Kernel Sliced Inverse Regression", IEEE Transactions on Knowledge and Data Engineering, Vol. 21, No. 11, Pages 1590-1603, (November 2009). (SCI).

Yuh-Jye Lee, Chien-Chung Chang and Chia-Huang Chao. "Incremental Forward Feature Selection with Application to Microarray Gene Expression Data", Journal of Biopharmaceutical Statistics, Vol. 18, Issue 5, Pages 827-840, (September 2008). (SCI) .

Chien-Ming Huang, Yuh-Jye Lee, Dennis K. J. Lin and Su-Yun Huang. "Model Selection for Support Vector Machines via Uniform Design", A special issue on Machine Learning and Robust Data Mining of Computational Statistics and Data Analysis, Vol. 52, Pages 335-346, (2007). (SCI).

Yuh-Jye Lee and Su-Yun Huang. "Reduced Support Vector Machines: A Statistical Theory", IEEE Transactions on Neural Networks, Vol. 18, No. 1, Pages 1-13, (2007). (SCI).

Yuh-Jye Lee, Wen-Feng Hsieh and Chien-Ming Huang. "ε-SSVR: A Smooth Support Vector Machine for ε-Insensitive Regression", IEEE Transactions on Knowledge and Data Engineering, Vol. 17, No. 5, Pages 678-685, (2005). (SCI).

Yuh-Jye Lee, O. L. Mangasarian and W. H. Wolberg. "Survival-Time Classification of Breast Cancer Patients", Computational Optimization and Applications, Vol. 25, Pages 151-166, (2003). (SCI).

Yuh-Jye Lee and O. L. Mangasarian. "SSVM: A Smooth Support Vector Machine for Classification", Computational Optimization and Applications, 20, Pages 5-22, (2001). (SCI).

Chih Chang and Yuh-Jye Lee "A Non-weakly Balanced Game with Nonempty Bargaining Set” , Journalof Mathematical Economics 22, Pages 195-198, 1993.