APA (7th ed.) Citation

Yao, L., & Lin, T. (2021). Evolutionary Mahalanobis Distance-Based Oversampling for Multi-Class Imbalanced Data Classification. Sensors (Basel, Switzerland), 21(19), 6616. https://doi.org/10.3390/s21196616

Chicago Style (17th ed.) Citation

Yao, Leehter, and Tung-Bin Lin. "Evolutionary Mahalanobis Distance-Based Oversampling for Multi-Class Imbalanced Data Classification." Sensors (Basel, Switzerland) 21, no. 19 (2021): 6616. https://doi.org/10.3390/s21196616.

MLA (9th ed.) Citation

Yao, Leehter, and Tung-Bin Lin. "Evolutionary Mahalanobis Distance-Based Oversampling for Multi-Class Imbalanced Data Classification." Sensors (Basel, Switzerland), vol. 21, no. 19, 2021, p. 6616, https://doi.org/10.3390/s21196616.