Tackling class imbalance in computer vision: a contemporary review
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Linguistics and Language,Language and Linguistics
Link
https://link.springer.com/content/pdf/10.1007/s10462-023-10557-6.pdf
Reference175 articles.
1. Adadi A, Berrada M (2020) Explainable AI for healthcare: from black box to interpretable models. Embedded systems and artificial intelligence: proceedings of ESAI 2019, Fez, Morocco. Springer Singapore, Singapore, pp 327–337
2. Afzal S, Maqsood M, Nazir F, Khan U, Aadil F, Awan KM, Mehmood I, Song O-Y (2019) A data augmentation-based framework to handle class imbalance problem for Alzheimer’s stage detection. IEEE Access 7:115528–115539
3. Akhtar Z, Micheloni C, Foresti GL (2015) Biometric liveness detection: challenges and research opportunities. IEEE Secur Privacy 13(5):63–72
4. Alaba SY, Nabi MM, Shah C, Prior J, Campbell MD, Wallace F, Ball JE, Moorhead R (2022) Class-aware fish species recognition using deep learning for an imbalanced dataset. Sensors 22(21):8268
5. Alam TM, Shaukat K, Hameed IA, Luo S, Sarwar MU, Shabbir S, Li J, Khushi M (2020) An investigation of credit card default prediction in the imbalanced datasets. IEEE Access 8:201173–201198
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