Funder
National Key R&D Program of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Reference34 articles.
1. Sáez JA, Luengo J, Stefanowski J, Herrera F (2015) SMOTE-IPF: addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering. Inf Sci 291:184–203
2. Chawla NV, Bowyer KW, Hall LO, Kegelmeyer WP (2002) Smote: synthetic minority over-sampling technique. J Artif Intell Res 16:321–357
3. Vuttipittayamongkol P, Elyan E (2020) Neighbourhood-based undersampling approach for handling imbalanced and overlapped data. Inf Sci 509:47–70
4. Mirzaei B, Nikpour B, Nezamabadi-pour H (2021) CDBH: a clustering and density-based hybrid approach for imbalanced data classification. Expert Syst Appl 164:114035
5. Khan SH, Hayat M, Bennamoun M, Sohel FA, Togneri R (2017) Cost-sensitive learning of deep feature representations from imbalanced data. IEEE Trans Neural Netw Learn Syst 29(8):3573–3587
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献