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

Research output

Research output per year 2020 2022 2022

• 4 Article

Research output per year

Research output per year

Search results

• 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

  • Proteins 100%
  • Statistical Models 33%
  • Machine learning 26%
  • Classifiers 25%
  • Costs 13%
  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

  • Missing Values 100%
  • Imputation 98%
  • Review 60%
  • Case Deletion 40%
  • Prediction 33%

• 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

  • Supervised learning 100%
  • Machine learning 34%
  • Multilayer neural networks 16%
  • Statistical methods 13%
  • Data mining 13%
  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

  • Design of experiments 100%
  • literature 44%
  • Experimental Design 27%
  • Incomplete 23%
  • Reviewing 23%
  195 Scopus citations