Optimizing earthquake phase association performance through semi-supervised calibration of synthetic training data generator

McBrearty, Ian

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Abstract: Optimizing earthquake phase association performance through semi-supervised calibration of synthetic training data generator (AGU25)

Optimizing earthquake phase association performance through semi-supervised calibration of synthetic training data generator

Ian W. McBrearty, Stanford University, Department of Geophysics, Stanford, United States, Gabriel Dupuis, ENSTA, Institut Polytechnique de Paris, Paris, France and Gregory C Beroza, Stanford University, Department of Geophysics, Stanford, CA, United States