Assessing the predicting power of GPS data for aftershocks forecasting

Vincenzo Maria Schimmenti, Giuseppe Petrillo, Alberto Rosso +1

We present a machine learning approach for the aftershock forecasting of Japanese earthquake catalogue from 2015 to 2019. Our method takes as sole input the ground surface deformat…