AI RESEARCH
Delta-XAI: A Unified Framework for Explaining Prediction Changes in Online Time Series Monitoring
arXiv CS.LG
•
ArXi:2511.23036v2 Announce Type: replace Explaining online time series monitoring models is crucial across sensitive domains such as healthcare and finance, where temporal and contextual prediction dynamics underpin critical decisions. While recent XAI methods have improved the explainability of time series models, they mostly analyze each time step independently, overlooking temporal dependencies. This results in further challenges: explaining prediction changes is non-trivial, methods fail to leverage online dynamics, and evaluation remains difficult.