林 真 如 教 授
Lin , Chen-Ju
學歷
2007 美國喬治亞理工學院工業暨系統工程博士
2004 美國喬治亞理工學院工業暨系統工程碩士
2003 國立交通大學工業工程與管理學學士
專長
時空統計分析
製程能力分析
品質工程與管理
應用機率與統計
2004
2007
2014
Present
23 April 2025
23 April 2025
元智大學
工業工程與管理系教授
1. Chen-ju Lin, Florence Leony* (2024, Mar). Evidence-based adaptive oversampling algorithm for imbalanced classification. Knowledge and Information Systems, 66, 2209-2233. nstc 110-2221-E-155-060-MY2. 本人為第 一作者.
2. Hou-Tai Chang, Ping-Huai Wang, Wei-Fang Chen, Chen-ju Lin* (2022, Apr). Risk assessment of early lung cancer with LDCT and health examinations. International Journal of Environmental Research and Public Health, 19(8), 4633. MOST 108-2221-E-155-020. 本人為通訊作者.
3. Florence Leony, Chen-ju Lin* (2022, Mar). The PO bootstrap approach for comparing process incapability applied to non-normal process selection. Quality Technology and Quantitative Management, 19(2), 215-233. MOST 109-2221-E155-021. 本人為通訊作者.
4. Chieh Lee, Tsung-Hsing Lin, Chen-Ju Lin, Chang-Fu Kuo, Betty C.-J. Pai, HaoTsai Cheng, Cheng-Chou Lai, and Tsung-Hsing Chen* (2022, Jan). A noninvasive risk stratification tool build using an artificial intelligence approach for colorectal polyps based on annual checkup data. Healthcare, 10(1), 169.
1. Cheng-ju Yu, Chen-ju Lin* (2023, Oct). Selecting the process with a higher capability under the Birnbaum-Saunders distribution by using generalized confidence interval. The 23nd Asia Pacific Industrial Engineering and Management Systems (APIEMS 2023), Kuala Lumpur, Malaysia. 本人為通訊 作者.
2. Hou-Tai Chang, Chen-Ju Lin*, Florence Leony (2023, May). Mortality analysis of treatment combinations in COVID-19 ICU patients: a retrospective observational study. 2023 6th International Conference on Healthcare Service Management (ICHSM 2023), Kyoto, Japan. 本人為通訊作者.
3. Florence Leony, Chen-ju Lin* (2022, Nov). A comparison study between early and late multi-channel fusion. The 22nd Asia Pacific Industrial Engineering and Management Systems (APIEMS 2022). nstc 110-2221-E-155-060-MY2. 本人為 通訊作者.
4. Cheng-ju Yu, Chen-ju Lin* (2022, Oct). Loss-based process selection with nonnormal data. The 10th Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling (APARM 2022 –Taiwan). 本人為通訊作 者.
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