Abstract: Meta-analyses stand as a cornerstone in consolidating research findings to assess treatment efficacy within evidence-based medicine. Yet, they are often laborintensive and quickly outdated ...

Abstract: Maintaining the performance of machine learning (ML) models amid evolving data distributions presents a considerable challenge in real-world applications. This paper introduces a framework ...