Applying Machine Learning to Crowd-sourced Data from Earthquake Detective. (arXiv:2011.04740v2 [physics.geo-ph] UPDATED)

Dynamically triggered earthquakes and tremor generate two classes of weak
seismic signals whose detection, identification, and authentication
traditionally call for laborious analyses. Machine learning (ML) has grown in
recent years to be a powerful efficiency-boosting tool in geophysical analyses,
including the detection of specific signals in time series. However, detecting
weak signals that are buried in noise challenges ML algorithms, in part because
ubiquitous training data is not always available. Under these circumstances, ML
can be as ineffective as human …

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