Expert-guided class-conditional goodness-of-fit scores create transparent features for classification under informative missingness, shown to compete with black-box models on small seismic datasets.
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Expert-Guided Class-Conditional Goodness-of-Fit Scores for Interpretable Classification with Informative Missingness: An Application to Seismic Monitoring
Expert-guided class-conditional goodness-of-fit scores create transparent features for classification under informative missingness, shown to compete with black-box models on small seismic datasets.