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林維昭 副教授

長庚大學資管系

姓名:林維昭
職稱:副教授
分機:(03)2118800 轉 3770
信箱:viclin@gap.cgu.edu.tw
學歷:英國桑德蘭大學資訊系統博士
專長領域:資訊檢索、資料探勘、大數據分析

現職:
 長庚大學 資訊管理學系 副教授 2017/08 ~
 長庚大學 校務研究中心 副研究員 2017/08 ~
 林口長庚醫院 胸腔外科 合聘副研究員 2017/11 ~

經歷:
 亞洲大學 資訊工程學系 副教授 2016/02~2017/07
 華夏科技大學 資訊工程系 副教授 2015/07 ~ 2016/01
 華夏科技大學 資訊工程系 助理教授 2011/09 ~ 2015/06
 華夏科技大學 資訊工程系 副主任 2015/08 ~ 2016/01
 華夏科技大學 計算機與網路中心 校務資訊組 組長 2012/02 ~ 2015/07
 中央研究院 資訊科學研究所 博士後研究員 2010/08 ~ 2011/09

教授課程:
 電子商務
 計算機概論
 資管專業英文
 智慧型機器人概論

榮譽獎項:
 明新科技大學 104學年度 傑出校友
 華夏科技大學 103學年度 教師評鑑績優教師
 華夏科技大學 103學年度 教學優良教師
 華夏科技大學 103學年度 日間部績優導師
 華夏科技大學 102學年度 教師評鑑績優教師
 華夏技術學院 101學年度 教師評鑑績優教師

專案計畫:
 科技部專題研究計畫

  • 基於機器學習之樣本抽樣法於類別不平衡資料集之研究 (MOST 106-2410-H-182-024-),計畫主持人,106/08/01~107/07/31
  • 影像檢索使用者互動介面之研究 (NSC 101-2218-E-146-001-),計畫主持人,101/08/01~102/07/31
  •  產學合作

  • 物聯網與智慧控制人才培育計畫,計畫聯絡人,經濟部工業局,106/01/02~106/12/10
  • 光電產業技術服務之三創培育計畫,計畫主持人,雷光科技股份有限公司(新北市三重區),103/08/01~104/06/30
  • 數位印刷產品需求市場調查研究計畫,計畫主持人,沈氏藝術印刷股份有限公司(新北市土城區),101/07/16~101/09/14

  • 期刊論文:

    1. Tsai, C.-F., Lin, W.-C.*, Hu, Y.-H., and Yao, G.-T. (2018) Under-Sampling Class Imbalanced Datasets by Combining Clustering Analysis and Instance Selection, Information Sciences. Information Sciences. (SCI; IF=4.305; 12/148(2017-JCR) in COMPUTER SCIENCE, INFORMATION SYSTEMS) (in press)
    2. Lin, W.-C., Lu, Y.-H., Tsai, C.-F.* (2018) Feature Selection in Single and Ensemble Learning Based Bankruptcy Prediction Models. Expert Systems. (SCI; IF=1.43; 48/103(2017-JCR) in COMPUTER SCIENCE, THEORY & METHODS) (in press)
    3. Tsai, C.-F., Li, M.-L., and Lin, W.-C.*(2018) A Class Center Based Approach for Missing Value Imputation. Knowledge-Based Systems, 151, pp. 124-135. (SCI; IF=4.396; 14/132(2017-JCR) in COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)
    4. Huang, M.-W.,Lin, W.-C.*, and Tsai, C.-F. (2018) Outlier Removal in Model-Based Missing Value Imputation for Medical Datasets. Journal of Healthcare Engineering, Special Issue on Artificial Intelligence in Medical Applications, 2018, Article ID 1817479. (SCI; IF=1.261; 76/94(2017-JCR) in HEALTH CARE SCIENCES & SERVICES)
    5. Lin, W.-C., Tsai, C.-F.*, Hu, Y.-H., and Jhang, J.-S. (2017) Clustering-Based Undersampling for Class-imbalanced Data. Information Sciences, 409-410, pp. 17-26. (SCI; IF=4.305; 12/148(2017-JCR) in COMPUTER SCIENCE, INFORMATION SYSTEMS)
    6. Lin, W.-C., Ke, S.-W., and Tsai, C.-F.* (2017) When Should We Ignore Examples with Missing Values? International Journal of Data Warehousing and Mining, 13(4), pp. 53-63. (SCI; IF=0.781; 86/104(2017-JCR) in COMPUTER SCIENCE, SOFTWARE ENGINEERING)
    7. Lin, W.-C., Ke, S.-W., and Tsai, C.-F.* (2017) Top 10 Data Mining Algorithms in Business Applications: A Brief Survey. Kybernetes, 46(7), pp.1158-1170. (SCI; IF=0.980; 16/22(2017-JCR) in COMPUTER SCIENCE, CYBERNETICS)
    8. Lin, W.-C.* (2017) On Image Search Result Aggregation. Pattern Analysis and Applications, 20(3), pp. 865-870. (SCI; IF=1.281; 86/132(2017-JCR) in COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)
    9. Ke, S.-W., Lin, W.-C.*, Tsai, C.-F., and Hu, Y.-H. (2017) Soft Estimation by Hierarchical Classification and Regression. Neurocomputing, 234, pp. 27-37. (SCI; IF=3.241; 27/132(2017-JCR) in COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)
    10. Huang, M.-W., Chen, C.-W.*, Lin, W.-C., Ke, S.-W., and Tsai, C.-F. (2017) SVM and SVM ensembles in Breast Cancer Prediction. PLOS ONE. 12(1), e0161501. (SCI; IF=2.766; 15/64(2017-JCR) in MULTIDISCIPLINARY SCIENCES)
    11. Tsai, C.-F.*, Lin, W.-C., and Ke, S.-W. (2016) Big Data Mining with Parallel Computing: A Comparison of Distributed and MapReduce Methodologies. Journal of Systems and Software, 122, pp. 83-92. (SCI; IF=2.444; 22/106(2016-JCR) in COMPUTER SCIENCE, SOFTWARE ENGINEERING)
    12. Huang, M.-W., Lin, W.-C., Chen, C.-W.*, Ke, S.-W., Tsai, C.-F., and Eberle, W. (2016) Data Preprocessing Issues for Incomplete Medical Datasets. Expert Systems, 33(5), pp. 432-438. (SCI; IF=1.180; 59/104(2016-JCR) in COMPUTER SCIENCE, THEORY & METHODS)
    13. Chen, Z.-Y., Lin, W.-C., Tsai, C.-F.*, and Ke, S.-W. (2016) 3D Model Retrieval by Sample Based Alignment. Journal of Visual Communication and Image Representation, 40, pp. 721-731. (SCI; IF=2.164; 61/146(2016-JCR) in COMPUTER SCIENCE, SOFTWARE ENGINEERING)
    14. Ke, S.-W., Lin, W.-C., and Tsai, C.-F.* (2016) Research Performance of AACSB Accredited Institutions in Taiwan: Before versus After Accreditation. SpringerPlus, 5(1), pp. 1285-1294. (SCI; IF=1.130; 30/64(2016-JCR) in MULTIDISCIPLINARY SCIENCES)
    15. Shen, C.-C., Hu, Y.-H., Lin, W.-C., Tsai, C.-F.*, and Ke, S.-W. (2016) Research Impacts of General and Funded Papers: A Citation Analysis of Two ACM International Conference Proceeding Series. Online Information Review, 40(4), pp. 472-480. (SCI/SSCI; 1.534; 31/85(2016-JCR) in INFORMATION SCIENCE & LIBRARY SCIENCE)
    16. Lin, W.-C., Ke, S.-W., and Tsai, C.-F.* (2016) Robustness and Reliability Evaluations of Image Annotation. Imaging Science Journal, 64(2), pp. 94-99. (SCI; IF=0.451; 25/26(2015-JCR) in IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY)
    17. Lin, W.-C., Tsai, C.-F.*, Chen, Z.-Y., and Ke, S.-W. (2016) Keypoint Selection for Efficient Bag-of-Words Feature Generation and Effective Image Classification. Information Sciences, 329, pp. 33-51. (SCI; IF=4.832; 7/146(2016-JCR) in COMPUTER SCIENCE, INFORMATION SYSTEMS)
    18. Lin, W.-C., Ke, S.-W., and Tsai, C.-F.* (2016) SAFQuery: A Simple and Flexible Advanced Web Search Interface. The Electronic Library, 34(1), pp.155-168. (SSCI; IF=0.484; 63/85(2016-JCR) in INFORMATION SCIENCE & LIBRARY SCIENCE)
    19. Lin, W.-C., Tsai, C.-F.*, Ke, S.-W., and You, M.-L. (2015) On Learning Dual Classifiers for Better Data Classification. Applied Soft Computing, Special Issue on Soft Computing for Big Data, 37, pp. 296-302. (SCI; IF=2.857; 21/130(2015-JCR) in COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)
    20. Chen, Z.-Y., Lin, W.-C., Ke, S.-W., and Tsai, C.-F.* (2015) Evolutionary Feature and Instance Selection for Traffic Sign Recognition. Computers in Industry, Special Issue on Synergy of Computers, Cognition, Communication and Control with Industrial Applications, 74, pp. 201-211.  (SCI; IF=1.685; 44/104(2015-JCR) in COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS)
    21. Lin, W.-C., Chen, Z.-Y., Ke, S.-W., Tsai, C.-F.*, and Lin, W.-Y. (2015) The Effect of Low-Level Image Features on Pseudo Relevance Feedback. Neurocomputing, 166, pp. 26-37. (SCI; IF=2.392; 31/130(2015-JCR) in COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)
    22. Chen, C.-W., Lin, W.-C., Ke, S.-W., Tsai, C.-F.*, and Hu, Y.-H. (2015) On Mining Incomplete Medical Datasets: Ordering Imputation and Classification. Technology and Health Care, 23(5), pp. 619-625. (SCI; IF=0.678; 68/76(2015-JCR) in ENGINEERING, BIOMEDICAL)
    23. Lin, W.-C., Tsai, C.-F.*, Ke, S.-W., Hung, C.-W., and Eberle, W. (2015) Learning to Detect Representative Data for Large Scale Instance Selection. Journal of Systems and Software, 106, pp. 1-8. (SCI; IF=1.424; 24/106(2015-JCR) in COMPUTER SCIENCE, SOFTWARE ENGINEERING)
    24. Lin, W.-C., Tsai, C.-F.*, and Ke, S.-W. (2015) Correlation Analysis for Comparison of the Citation Impact of Journals, Magazines, and Conferences in Computer Science. Online Information Review, 39(3), pp. 310-325. (SCI/SSCI; IF=1.152; 71/143(2015-JCR) in COMPUTER SCIENCE, INFORMATION SYSTEMS)
    25. Chen, Z.-Y., Tsai, C.-F.*, Eberle, W., Lin, W.-C., and Ke, S.-W. (2015) Instance Selection by Genetic-Based Biological Algorithm. Soft Computing, 19(5), pp. 1269-1282. (SCI; IF=1.630; 56/130(2015-JCR) in COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)
    26. Lin, W.-C., Ke, S.-W., and Tsai, C.-F.* (2015) CANN: An Intrusion Detection System Based on Combining Cluster Centers and Nearest Neighbors. Knowledge-Based Systems, 78, pp. 13-21. (SCI; IF=3.325; 17/130(2015-JCR) in COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)
    27. Hu, Y.-H., Lin, W.-C., Tsai, C.-F.*, Ke, S.-W., and Chen, C.-W. (2015) An Efficient Data Preprocessing Approach for Large Scale Medical Data Mining. Technology and Health Care, 23(2), pp. 153-160. (SCI; IF=0.678; 68/76(2015-JCR) in ENGINEERING, BIOMEDICAL)
    28. Ke, S.-W., Lin, W.-C., Tsai, C.-F.*, and Hu, Y.-H. (2014) Citation Impact Analysis of Research Papers that Appear in Oral and Poster Sessions: A Case Study of Three Computer Science Conferences. Online Information Review, 38(6), pp. 738-745. (SCI/SSCI; IF=0.918; 34/85(2014-JCR) in INFORMATION SCIENCE & LIBRARY SCIENCE)
    29. Lin, W.-C., Tsai, C.-F.*, and Ke, S.-W. (2014) Dimensionality and data reduction in telecom churn prediction. Kybernetes, 43(5), pp. 737-749. (SCI; IF=0.429; 24/24(2014-JCR) in COMPUTER SCIENCE, CYBERNETICS)
    30. Tsai, C.-F.*, and Lin, W.-C. (2012) Scenery Image Retrieval by Meta-Feature Representation. Online Information Review, 36(4), pp. 517-533. (SCI/SSCI; IF=0.939; 37/85(2012-JCR) in INFORMATION SCIENCE & LIBRARY SCIENCE)
    31. Tsai, C.-F.*, Lin, W.-C., and Hung, C. (2011) Quality Analysis of Object Categorization Benchmarks: Corel, Caltech, and IAPR Datasets. Recent Patents on Computer Science, 4(2), pp. 108-113. (EI)
    32. Lin, W.-C.*, Oakes, M., and Tait, J. (2010) Improving Image Annotation via Representative Feature Vector Selection. Neurocomputing, 73(10-12), pp. 1774-1782. (SCI; IF=1.442; 50/108(2010-JCR) in COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)
    33. Lin, W.-C.*, Oakes, M., Tait, J., and Tsai, C.-F. (2009) Improving image annotation via useful representative feature selection. Cognitive Processing, 10(3), pp. 233-242. (SSCI; IF=1.030; 66/81(2010-JCR) in PSYCHOLOGY, EXPERIMENTAL)
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