This paper offers a comprehensive review of one-class classification (OCC), examining the
technologies and methodologies employed in its implementation. It delves into various …

This research paper introduces an innovative approach for explainable one-class time-
series classification (XOCTSC). The proposed method involves generating pseudounseen …

Deterioration is the significant degradation of the physical state prior to death. Detecting the
deterioration of patients could provide an early warning to their families in instances of …

Few-shot classification is one of the most daunting challenges in deep learning. The
complexities of this task arise from the fact that category targets are often embedded within …

Data is essential to performing time series analysis utilizing machine learning approaches,
whether for classic models or today's large language models. A good time-series dataset is …

Intelligent anomaly detection methods have achieved much successes in machinery
condition monitoring. However, the underlying independent and identically distributed …