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Predictive change point detection for heterogeneous data
A change point detection (CPD) framework assisted by a predictive machine learning model called "Predict and Compare" is introduced and characterised in relation to other state-of-the-art online CPD routines which it outperforms in terms of false positive rate and out-of-control average run length.
Explainable AI by BAPC -- Before and After correction Parameter Comparison
Criteria are formulated for the precise relation between lost accuracy of the surrogate, the accuracy of the AI-model, and the surrogate fidelity.
Graph-based calibration transfer
The problem of transferring calibrations from a primary to a secondary instrument, i. e. calibration transfer (CT), has been a matter of considerable research in chemometrics over the past decades.
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