Open access
Aug 2026
From Drift Detection to Diagnosis: An Explainable Framework for Deployed Machine Learning
A unified drift-aware framework for explainable diagnostics in deployed machine learning systems is proposed that can support proactive model monitoring and assist practitioners in deciding whether continued monitoring, investigation, recalibration, or model retraining is required.
Tambe Ankit Sampat
· International Journal of Cre... · 0 citations