IEEE

Weight Alignment Prototype Contrastive Network for Rotating Machinery Continual Fault Diagnosis Under Class Imbalanced Data

Abstract: Continual fault diagnosis in fault-type incremental learning (IL) scenarios has attracted increasing attention due to the practical difficulty of collecting all fault types of target ...
IEEE

A Survey on Confidence Calibration of Deep Learning-Based Classification Models Under Class Imbalance Data

Abstract: Confidence calibration in classification models is a vital technique for accurately estimating the posterior probabilities of predicted results, which is crucial for assessing the likelihood ...