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Abstract: The generative adversarial network (GAN) is increasingly used to address data imbalanced. However, GAN struggle with minority data that have few instances and lack accurate statistical ...

Abstract: One main challenge in imbalanced graph classification is to learn expressive representations of the graphs in underrepresented (minority) classes. Existing generic imbalanced learning ...

Predicting the early functional outcome (GOS-E at 6–9 months, T2) of Traumatic Brain Injury patients using only baseline (T0) and 3-month (T1) clinical assessments — no leakage from T2 data. Based on: ...