Breast cancer survival and chemotherapy: A support vector machine analysis. - Yuh-Jye Lee; Olvi L. Mangasarian; William H. Wolberg (Discrete Mathematical Problems with Medical Applications, 1999)

RSVM: Reduced Support Vector Machines. - Yuh-Jye Lee; Olvi L. Mangasarian (SDM, 2001)

SSVM: A Smooth Support Vector Machine for Classification. - Yuh-Jye Lee; O. L. Mangasarian (Comput. Optim. Appl., 2001)

Survival-Time Classification of Breast Cancer Patients. - Yuh-Jye Lee; Olvi L. Mangasarian; William H. Wolberg (Comput. Optim. Appl., 2003)

Generating the Reduced Set by Systematic Sampling. - Chien-Chung Chang; Yuh-Jye Lee (IDEAL, 2004)

Clustering Model Selection for Reduced Support Vector Machines. - Lih-Ren Jen; Yuh-Jye Lee (IDEAL, 2004)

Model Trees for Classification of Hybrid Data Types. - Hsing-Kuo Pao; Shou-Chih Chang; Yuh-Jye Lee (IDEAL, 2005)

epsilon-SSVR: A Smooth Support Vector Machine for epsilon-Insensitive Regression. - Yuh-Jye Lee; Wen-Feng Hsieh; Chien-Ming Huang 002 (IEEE Trans. Knowl. Data Eng., 2005)

Ranking the Rules and Instances of Decision Trees. - Yuh-Jye Lee; Yi-Ren Yeh (ICDM (Posters), 2006)

A three-tier IDS via data mining approach. - Tsong Song Hwang; Tsung-Ju Lee; Yuh-Jye Lee (MineNet, 2007)

Model selection for support vector machines via uniform design. - Chien-Ming Huang 002; Yuh-Jye Lee; Dennis K. J. Lin; Su-Yun Huang (Comput. Stat. Data Anal., 2007)

Reduced Support Vector Machines: A Statistical Theory. - Yuh-Jye Lee; Su-Yun Huang (IEEE Trans. Neural Networks, 2007)

Periodic Step Size Adaptation for Single Pass On-line Learning. - Chun-Nan Hsu; Yu-Ming Chang; Han-Shen Huang; Yuh-Jye Lee (NIPS, 2009)

Periodic step-size adaptation in second-order gradient descent for single-pass on-line structured learning. - Chun-Nan Hsu; Han-Shen Huang; Yu-Ming Chang; Yuh-Jye Lee (Mach. Learn., 2009)

Nonlinear Dimension Reduction with Kernel Sliced Inverse Regression. - Yi-Ren Yeh; Su-Yun Huang; Yuh-Jye Lee (IEEE Trans. Knowl. Data Eng., 2009)

Robust 1-Norm Soft Margin Smooth Support Vector Machine. - Li-Jen Chien; Yuh-Jye Lee; Zhi-Peng Kao; Chih-Cheng Chang (IDEAL, 2010)

Semi-supervised Learning for False Alarm Reduction. - Chien-Yi Chiu; Yuh-Jye Lee; Chien-Chung Chang; Wen-Yang Luo; Hsiu-Chuan Huang (ICDM, 2010)

Multiclass support vector classification via coding and regression. - Pei-Chun Chen; Kuang-Yao Lee; Tsung-Ju Lee; Yuh-Jye Lee; Su-Yun Huang (Neurocomputing, 2010)

Variant Methods of Reduced Set Selection for Reduced Support Vector Machines. - Li-Jen Chien; Chien-Chung Chang; Yuh-Jye Lee (J. Inf. Sci. Eng., 2010)

Locality-constrained group sparse representation for robust face recognition. - Yu-Wei Chao; Yi-Ren Yeh; Yu-Wen Chen; Yuh-Jye Lee; Yu-Chiang Frank Wang (ICIP, 2011)

Rank-r Updating Techniques for Fast Exact Cross-Validation. - Yi-Cheng Tseng; Yuh-Jye Lee (ICDM (Poster and Industry Proceedings), 2011)

A novel framework for multi-class classification via ternary smooth support vector machine. - Chih-Cheng Chang; Li-Jen Chien; Yuh-Jye Lee (Pattern Recognit., 2011)

Clock Skew Based Client Device Identification in Cloud Environments. - Ding-Jie Huang; Kai-Ting Yang; Chien-Chun Ni; Wei-Chung Teng; Tien-Ruey Hsiang; Yuh-Jye Lee (AINA, 2012)

Malicious URL Detection Based on Kolmogorov Complexity Estimation. - Hsing-Kuo Pao; Yan-Lin Chou; Yuh-Jye Lee (Web Intelligence, 2012)

An RSVM based two-teachers-one-student semi-supervised learning algorithm. - Chien-Chung Chang; Hsing-Kuo Pao; Yuh-Jye Lee (Neural Networks, 2012)

A Hierarchical Framework Using Approximated Local Outlier Factor for Efficient Anomaly Detection. - Lin Xu; Yi-Ren Yeh; Yuh-Jye Lee; Jing Li (ANT/SEIT, 2013)

Malicious URL filtering - A big data application. - Min-Sheng Lin; Chien-Yi Chiu; Yuh-Jye Lee; Hsing-Kuo Pao (IEEE BigData, 2013)

Solving Nonlinear SVM in Linear Time? A Nyström Approximated SVM with Applications to Image Classification. - Ming-Hen Tsai; Yi-Ren Yeh; Yuh-Jye Lee; Yu-Chiang Frank Wang (MVA, 2013)

Energy Disaggregation via Clustered Regression Models: A Case Study in the Convenience Store. - Hsiao-Hui Chen; Ping-Feng Wang; Ching-Tien Sung; Yi-Ren Yeh; Yuh-Jye Lee (TAAI, 2013)

Frequent Pattern Based User Behavior Anomaly Detection for Cloud System. - Chien-Yi Chiu; Chi-Tien Yeh; Yuh-Jye Lee (TAAI, 2013)

Key Stroke Profiling for Data Loss Prevention. - Jain-Shing Wu; Yuh-Jye Lee; Song-Kong Chong; Chih-Ta Lin; Jung-Lun Hsu (TAAI, 2013)

Is Somebody Watching Your Facebook Newsfeed? - Shan-Hung Wu; Man-Ju Chou; Ming-Hung Wang; Chun-Hsiung Tseng; Yuh-Jye Lee; Kuan-Ta Chen (CoRR, 2013)

Anomaly Detection via Online Oversampling Principal Component Analysis. - Yuh-Jye Lee; Yi-Ren Yeh; Yu-Chiang Frank Wang (IEEE Trans. Knowl. Data Eng., 2013)

Efficient traffic speed forecasting based on massive heterogenous historical data. - Xing-Yu Chen; Hsing-Kuo Pao; Yuh-Jye Lee (IEEE BigData, 2014)

Continuous Monitoring and Distributed Anomaly Detection for Ambient Factors. - Yang-Chi Shen; Alvin Chiang; Yi-Ren Yeh; Yuh-Jye Lee (iThings/GreenCom/CPSCom, 2014)

Connected vehicle safety science, system, and framework. - Kuan-Wen Chen; Hsin-Mu Tsai; Chih-Hung Hsieh; Shou-De Lin; Chieh-Chih Wang; Shao-Wen Yang; Shao-Yi Chien; Chia-Han Lee; Yu-Chi Su; Chun-Ting Chou; Yuh-Jye Lee; Hsing-Kuo Pao; et al. (WF-IoT, 2014)

A Distributed Ensemble Scheme for nonlinear Support Vector Machine. - Wei-Chih Lai; Po-Han Huang; Yuh-Jye Lee; Alvin Chiang (ISSNIP, 2015)

Keystroke and Mouse Movement Profiling for Data Loss Prevention. - Jain-Shing Wu; Chih-Ta Lin; Yuh-Jye Lee; Song-Kong Chong (J. Inf. Sci. Eng., 2015)

Compressed learning for time series classification. - Yuh-Jye Lee; Hsing-Kuo Pao; Shueh-Han Shih; Jing-Yao Lin; Xin-Rong Chen (IEEE BigData, 2016)

Sparse sampling for sensing temporal data - building an optimized envelope. - Menachem Domb; Guy Leshem; Elisheva Bonchek-Dokow; Esther David; Yuh-Jye Lee (TAAI, 2016)

ChainSpot: Mining Service Logs for Cyber Security Threat Detection. - Jain-Shing Wu; Yuh-Jye Lee; Te-En Wei; Chih-Hung Hsieh; Chia-Min Lai (Trustcom/BigDataSE/ISPA, 2016)

Big active learning. - Er-Chen Huang; Hsing-Kuo Pao; Yuh-Jye Lee (IEEE BigData, 2017)

A study on anomaly detection ensembles. - Alvin Chiang; Esther David; Yuh-Jye Lee; Guy Leshem; Yi-Ren Yeh (J. Appl. Log., 2017)

Detecting In Situ Identity Fraud on Social Network Services: A Case Study With Facebook. - Shan-Hung Wu; Man-Ju Chou; Chun-Hsiung Tseng; Yuh-Jye Lee; Kuan-Ta Chen (IEEE Syst. J., 2017)

Two smooth support vector machines for ( varepsilon ) -insensitive regression. - Weizhe Gu; Wei-Po Chen; Chun-Hsu Ko; Yuh-Jye Lee; Jein-Shan Chen (Comput. Optim. Appl., 2018)

Distributed Consensus Reduced Support Vector Machine. - Hsiang-Hsuan Chen; Yuh-Jye Lee (IEEE BigData, 2019)

A Unified Approach on Active Learning Dual Supervision. - Adrian Chriswanto; Hsing-Kuo Pao; Yuh-Jye Lee (IJCNN, 2019)

Continuous Monitoring of the Ambient Factors via ε-Smooth Support Vector Regression. - Yan-Ru Jhuo; Chi-Yu Chen; Yu-Hsuan Yang; Hsing-Chuan Hsieh; Yuh-Jye Lee (UCAmI, 2019)

Dealing with Interleaved Event Inputs for Intrusion Detection. - Hsing-Kuo Pao; Fong-Fuei Lee; Yuh-Jye Lee (J. Inf. Sci. Eng., 2019)

Federated Learning for Sparse Principal Component Analysis. - Sin Cheng Ciou; Pin-Jui Chen; Elvin Y. Tseng; Yuh-Jye Lee (IEEE Big Data, 2023)