Global reliable data generation for imbalanced binary classification with latent codes reconstruction and feature repulsion
Author:
Funder
Science and Technology Foundation of State Grid Corporation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-04330-5.pdf
Reference53 articles.
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3. Baik R (2019) Class imbalance learning–driven Alzheimer’s detection using hybrid features. Int J Distrib Sensor Netw 15:1550147719826048. https://doi.org/10.1177/1550147719826048
4. Ahammad J, Hossain N, Alam MS (2020) Credit card fraud detection using data pre-processing on imbalanced data - both oversampling and undersampling. ACM, pp 1–4. https://doi.org/10.1145/3377049.3377113
5. Soon HF, Amir A, Azemi SN (2021) An analysis of multiclass imbalanced data problem in machine learning for network attack detections. In: Journal of physics: Conference series, vol 1755. IOP Publishing, p 012030. https://doi.org/10.1109/LSENS.2018.2879990
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