Past, Present, and Future for Missing Value Imputation(3/3)

蔡, 志豐 (PI)

Department of Information Management

4 Article

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2022
A dynamic time warping approach for handling class imbalanced medical datasets with missing values: A case study of protein localization site prediction
Hung, L. C., Hu, Y. H., Tsai, C. F. & Huang, M. W., 15 Apr 2022, In: Expert Systems with Applications. 192, 116437.
Research output: Contribution to journal › Article › peer-review
2 Scopus citations
An investigation of solutions for handling incomplete online review datasets with missing values
Hu, Y. H. & Tsai, C. F., 2022, In: Journal of Experimental and Theoretical Artificial Intelligence. 34, 6, p. 971-987 17 p.
Research output: Contribution to journal › Article › peer-review
Empirical comparison of supervised learning techniques for missing value imputation
Tsai, C. F. & Hu, Y. H., Apr 2022, In: Knowledge and Information Systems. 64, 4, p. 1047-1075 29 p.
Research output: Contribution to journal › Article › peer-review
7 Scopus citations
2020
Missing value imputation: a review and analysis of the literature (2006–2017)
Lin, W. C. & Tsai, C. F., 1 Feb 2020, In: Artificial Intelligence Review. 53, 2, p. 1487-1509 23 p.
Research output: Contribution to journal › Article › peer-review
192 Scopus citations