145 citations · 325 across the 5 of their papers we have counts for
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physics.geo-ph2018★ 69 cited
Earthquake catalog-based machine learning identification of laboratory fault states and the effects of magnitude of completeness
Nicholas Lubbers, David C. Bolton, Jamaludin Mohd-Yusof +3
Machine learning regression can predict macroscopic fault properties such as shear stress, friction, and time to failure using continuous records of fault zone acoustic emissions.…
physics.geo-ph2018★ 4 cited
Estimating the Physical State of a Laboratory Slow Slipping Fault from Seismic Signals
Claudia Hulbert, Bertrand Rouet-Leduc, Christopher X. Ren +4
Over the last two decades, strain and GPS measurements have shown that slow slip on earthquake faults is a widespread phenomenon. Slow slip is also inferred from correlated small a…