1. A review on ensembles for the class imbalance problem: Bagging-, boosting-, and hybrid-based approaches;Galar;IEEE Trans. Syst. Man Cybern. C,2012
2. LR-SMOTE —An improved unbalanced data set oversampling based on K-means and SVM;Knowl.-Based Syst.,2020
3. High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning;Erfani;Pattern Recognit.,2016
4. An optimisation-driven prediction method for automated diagnosis and prognosis;Santucci;Mathematics,2019
5. C.R. Qi, H. Su, M. Niebner, et al., Volumetric and Multi-View CNNs for Object Classification on 3D Data, in: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, USA, pp. 5648–5656.