1 citations · 1 across the 2 of their papers we have counts for
2 papers
physics.geo-ph2022
Machine learning event detection workflows in practice: A case study from the 2019 Durrës aftershock sequence
Jack Woollam, Vincent Van der Heiden, Andreas Rietbrock +3
Machine Learning (ML) methods have demonstrated exceptional performance in recent years when applied to the task of seismic event detection. With numerous ML techniques now availab…
physics.geo-ph2021★ 1 cited
SeisBench -- A Toolbox for Machine Learning in Seismology
Jack Woollam, Jannes Münchmeyer, Frederik Tilmann +10
Machine Learning (ML) methods have seen widespread adoption in seismology in recent years. The ability of these techniques to efficiently infer the statistical properties of large…