Zhang, D.; Huang, X.; Li, G.; Kong, S.; Dong, L.
MWMOTE-FRIS-INFFC: An Improved Majority Weighted Minority Oversampling Technique for Solving Noisy and Imbalanced Classification Datasets. Appl. Sci. 2025, 15, 4670.
https://doi.org/10.3390/app15094670
AMA Style
Zhang D, Huang X, Li G, Kong S, Dong L.
MWMOTE-FRIS-INFFC: An Improved Majority Weighted Minority Oversampling Technique for Solving Noisy and Imbalanced Classification Datasets. Applied Sciences. 2025; 15(9):4670.
https://doi.org/10.3390/app15094670
Chicago/Turabian Style
Zhang, Dong, Xiang Huang, Gen Li, Shengjie Kong, and Liang Dong.
2025. "MWMOTE-FRIS-INFFC: An Improved Majority Weighted Minority Oversampling Technique for Solving Noisy and Imbalanced Classification Datasets" Applied Sciences 15, no. 9: 4670.
https://doi.org/10.3390/app15094670
APA Style
Zhang, D., Huang, X., Li, G., Kong, S., & Dong, L.
(2025). MWMOTE-FRIS-INFFC: An Improved Majority Weighted Minority Oversampling Technique for Solving Noisy and Imbalanced Classification Datasets. Applied Sciences, 15(9), 4670.
https://doi.org/10.3390/app15094670