Explainable Machine Learning for Earthquakes: SHAP Interpretation of CNNs to Distinguish Seismic Spectrograms of Foreshocks and Aftershocks
January 2025 Michele Magrini, Francesco Marrocco, Laura Laurenti, Gabriele Paoletti, Elisa Tinti, Chris Marone International Conference on Image Analysis and Processing, 312-323, 2025
Conference Poster Session

A CNN classifies foreshocks and aftershocks with 99.66% accuracy, while SHAP links its predictions to a narrow 30 Hz band and reveals possible fault-healing patterns.