跳到主要內容區塊

長庚大學 資訊管理學系

:::
:::

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:
 研究計畫

  • 「足智多謀」--建構與測試糖尿病足智慧型傷口監督管理系統之成效 (MOST 108-2635-B-182-001-),共同主持人,108/08/01~109/07/31
  • 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
  • 單一特徵選取與融合特徵選取應用於醫學資料集之比較 (CMRPD3I0031),計畫主持人,108/01/01~108/12/31
  • 國際校排適用所有情況嗎? 那地區差異的公立和私立大學該如何排名? (UZRPD1H0031/UZRPD3J0031),計畫主持人,107/08/01~109/07/31
  •  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. Lin, W.-C. and Tsai, C.-F.* (2019) Missing Value Imputation: A Review and Analysis of the Literature (2006-17). Artificial Intelligence Review. (SCI; IF=5.095; 18/133 Q1(2018-JCR) in COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE) (online first)
    2. Lin, W.-C. (2019) Aggregation of Multiple Pseudo-Relevance Feedbacks for Image Search Reranking. IEEE Access, 7, pp. 147553-147559. (SCI; IF=4.098; 23/155 Q1(2018-JCR) in COMPUTER SCIENCE, INFORMATION SYSTEMS)
    3. Tsai, C.-F., Lin, W.-C.*, Hu, Y.-H., and Yao, G.-T. (2019) Under-Sampling Class Imbalanced Datasets by Combining Clustering Analysis and Instance Selection. Information Sciences, 477, pp. 47-54. (SCI; IF=5.524; 9/155 Q1(2018-JCR) in COMPUTER SCIENCE, INFORMATION SYSTEMS)
    4. Lin, W.-C., Lu, Y.-H., and Tsai, C.-F.* (2019) Feature Selection in Single and Ensemble Learning Based Bankruptcy Prediction Models. Expert Systems, 36(1), e12335. (SCI; IF=1.505; 49/104 Q2(2018-JCR) in COMPUTER SCIENCE, THEORY & METHODS)
    5. 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=5.101; 17/133 Q1(2018-JCR) in COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)
    6. 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=1.295; 79/98 Q4(2018-JCR) in HEALTH CARE SCIENCES & SERVICES)
    7. 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 Q1(2017-JCR) in COMPUTER SCIENCE, INFORMATION SYSTEMS)
    8. 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 Q4(2017-JCR) in COMPUTER SCIENCE, SOFTWARE ENGINEERING)
    9. 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 Q3(2017-JCR) in COMPUTER SCIENCE, CYBERNETICS)
    10. Lin, W.-C.* (2017) On Image Search Result Aggregation. Pattern Analysis and Applications, 20(3), pp. 865-870. (SCI; IF=1.281; 86/132 Q3(2017-JCR) in COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)
    11. 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 Q1(2017-JCR) in COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)
    12. 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 Q1(2017-JCR) in MULTIDISCIPLINARY SCIENCES)
    13. 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 Q1(2016-JCR) in COMPUTER SCIENCE, SOFTWARE ENGINEERING)
    14. 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 Q3(2016-JCR) in COMPUTER SCIENCE, THEORY & METHODS)
    15. 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 Q2(2016-JCR) in COMPUTER SCIENCE, SOFTWARE ENGINEERING)
    16. 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 Q2(2016-JCR) in MULTIDISCIPLINARY SCIENCES)
    17. 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 Q2(2016-JCR) in INFORMATION SCIENCE & LIBRARY SCIENCE)
    18. 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 Q4(2015-JCR) in IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY)
    19. 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 Q1(2016-JCR) in COMPUTER SCIENCE, INFORMATION SYSTEMS)
    20. 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 Q3(2016-JCR) in INFORMATION SCIENCE & LIBRARY SCIENCE)
    21. 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 Q1(2015-JCR) in COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)
    22. 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 Q2(2015-JCR) in COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS)
    23. 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 Q1(2015-JCR) in COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)
    24. 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 Q4(2015-JCR) in ENGINEERING, BIOMEDICAL)
    25. 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 Q1(2015-JCR) in COMPUTER SCIENCE, SOFTWARE ENGINEERING)
    26. 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 Q2(2015-JCR) in COMPUTER SCIENCE, INFORMATION SYSTEMS)
    27. 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 Q2(2015-JCR) in COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)
    28. 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 Q1(2015-JCR) in COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)
    29. 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 Q4(2015-JCR) in ENGINEERING, BIOMEDICAL)
    30. 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 Q2(2014-JCR) in INFORMATION SCIENCE & LIBRARY SCIENCE)
    31. 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 Q4(2014-JCR) in COMPUTER SCIENCE, CYBERNETICS)
    32. 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 Q2(2012-JCR) in INFORMATION SCIENCE & LIBRARY SCIENCE)
    33. 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)
    34. 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 Q2(2010-JCR) in COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)
    35. 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 Q4(2010-JCR) in PSYCHOLOGY, EXPERIMENTAL)
    瀏覽數  
    • 友善列印
    • 新增到收藏夾
    • 分享
    將此文章推薦給親友
    請輸入此驗證碼