Fig 1.
Boundary sample categorization using Borderline-SMOTE.
Fig 2.
Illustration of BADGAN.
Table 1.
Data partitioning.
Table 2.
Confusion matrix of FTFD.
Table 3.
FTFD performance of eleven methods When SVC is used as a base classifier.
Table 4.
FTFD performance of eleven methods when LR is used as a base classifier.
Table 5.
FTFD performance of eleven methods when MLP is used as a base classifier.
Fig 3.
Monthly bar chart with SVC as the classifier.
Fig 4.
Monthly bar chart with LR as the classifier.
Fig 5.
Monthly bar chart with MLP as the classifier.
Fig 6.
Explorative visualization of varied representations for FTFD.
(A) SMEN (B) SMTL (C) ADASYN (D) SMOTE (E) TL (F) CC (G) SGAN (H) RGAN (I) DWGAN (J) VGAN (K) BADGAN.
Table 6.
Sensitivity of the value of k.
Table 7.
Ablation study.
Table 8.
Public datasets.
Table 9.
Imbalanced classification performance of eleven methods.