American Psychological Association 6th edition

Xinqi Li, & Qicheng Liu. (2024). A hybrid sampling algorithm for imbalanced and class-overlap data based on natural neighbors and density estimation. Knowledge and Information Systems, 67, 2259-2290. https://doi.org/10.1007/s10115-024-02281-6

ISO-690 (author-date, English)

XINQI LI and QICHENG LIU, 2024. A hybrid sampling algorithm for imbalanced and class-overlap data based on natural neighbors and density estimation. Knowledge and Information Systems. 22 November 2024. Vol. 67, , p. 2259-2290. DOI 10.1007/s10115-024-02281-6.

Modern Language Association 9th edition

Xinqi Li, and Qicheng Liu. “A Hybrid Sampling Algorithm for Imbalanced and Class-Overlap Data Based on Natural Neighbors and Density Estimation”. Knowledge and Information Systems, vol. 67, Nov. 2024, pp. 2259-90, https://doi.org/10.1007/s10115-024-02281-6.

Mohr Siebeck - Recht (Deutsch - Österreich)

Xinqi Li/Qicheng Liu: A hybrid sampling algorithm for imbalanced and class-overlap data based on natural neighbors and density estimation, Knowledge and Information Systems 2024, 2259-2290.

Emerald - Harvard

Xinqi Li and Qicheng Liu. (2024), “A hybrid sampling algorithm for imbalanced and class-overlap data based on natural neighbors and density estimation”, Knowledge and Information Systems, Vol. 67, pp. 2259-2290.

Warning: These citations may not always be 100% accurate.