Fu, G., Wu, Y., Zong, M., & Yi, L. (2020). Feature selection and classification by minimizing overlap degree for class-imbalanced data in metabolomics. Chemometrics and intelligent laboratory systems, 196, 103906. https://doi.org/10.1016/j.chemolab.2019.103906
Chicago Style (17th ed.) CitationFu, Guang-Hui, Yuan-Jiao Wu, Min-Jie Zong, and Lun-Zhao Yi. "Feature Selection and Classification by Minimizing Overlap Degree for Class-imbalanced Data in Metabolomics." Chemometrics and Intelligent Laboratory Systems 196 (2020): 103906. https://doi.org/10.1016/j.chemolab.2019.103906.
MLA (9th ed.) CitationFu, Guang-Hui, et al. "Feature Selection and Classification by Minimizing Overlap Degree for Class-imbalanced Data in Metabolomics." Chemometrics and Intelligent Laboratory Systems, vol. 196, 2020, p. 103906, https://doi.org/10.1016/j.chemolab.2019.103906.