M.I, G. X. J. N. R. (2024). CL-SR: Boosting Imbalanced Image Classification with Contrastive Learning and Synthetic Minority Oversampling Technique Based on Rough Set Theory Integration. Applied Sciences (Switzerland), 14(23), . https://doi.org/10.3390/app142311093
Chicagoスタイル(17版)引用形式M.I, Gao X.; Jamil N.; Ramli. "CL-SR: Boosting Imbalanced Image Classification with Contrastive Learning and Synthetic Minority Oversampling Technique Based on Rough Set Theory Integration." Applied Sciences (Switzerland) 14, no. 23 (2024). https://doi.org/10.3390/app142311093.
MLA(8版)引用形式M.I, Gao X.; Jamil N.; Ramli. "CL-SR: Boosting Imbalanced Image Classification with Contrastive Learning and Synthetic Minority Oversampling Technique Based on Rough Set Theory Integration." Applied Sciences (Switzerland), vol. 14, no. 23, 2024, https://doi.org/10.3390/app142311093.