Recent advances in earthquake seismology using machine learning

[1] Abrahamson NA(2019)Probabilistic seismic hazard analysis in California using nonergodic ground-motion models Bull Seismol Soc Am 109 1235-1249

[2] Kuehn NM(2022)An adaptable random forest model for the declustering of earthquake catalogs J Geophys Res 127 e2021JB023254-17

[3] Walling M(2023)Bayesian seismic tomography based on velocity-space Stein variational gradient descent for physics-informed neural network IEEE Trans Geosci Remote Sens 61 1-680

[4] Landwehr N(2008)Neural network based attenuation of strong motion peaks in Europe J Earthquake Eng 12 663-929

[5] Aden-Antoniów F(2020)Benchmarking current and emerging approaches to infrasound signal classification Seismol Res Lett 91 921-1195

[6] Frank WB(2022)Integration of density-based spatial clustering with noise and continuous wavelet transform for feature extraction from seismic data Pure Appl Geophys 179 1183-1532

[7] Seydoux L(2015)Machine-learning methods for earthquake ground motion analysis and simulation J Eng Mech 141 04014147-1005

[8] Agata R(1978)Automatic earthquake recognition and timing from single traces Bull Seismol Soc Am 68 1521-28

[9] Shiraishi K(2014)NGA-West2 database Earthq Spectra 30 989-60

[10] Fujie G(1999)Probabilistic seismic hazard analysis without the ergodic assumption Seismol Res Lett 70 19-486

[1] Abrahamson NA(2019)Probabilistic seismic hazard analysis in California using nonergodic ground-motion models Bull Seismol Soc Am 109 1235-1249

[2] Kuehn NM(2022)An adaptable random forest model for the declustering of earthquake catalogs J Geophys Res 127 e2021JB023254-17

[3] Walling M(2023)Bayesian seismic tomography based on velocity-space Stein variational gradient descent for physics-informed neural network IEEE Trans Geosci Remote Sens 61 1-680

[4] Landwehr N(2008)Neural network based attenuation of strong motion peaks in Europe J Earthquake Eng 12 663-929

[5] Aden-Antoniów F(2020)Benchmarking current and emerging approaches to infrasound signal classification Seismol Res Lett 91 921-1195

[6] Frank WB(2022)Integration of density-based spatial clustering with noise and continuous wavelet transform for feature extraction from seismic data Pure Appl Geophys 179 1183-1532

[7] Seydoux L(2015)Machine-learning methods for earthquake ground motion analysis and simulation J Eng Mech 141 04014147-1005

[8] Agata R(1978)Automatic earthquake recognition and timing from single traces Bull Seismol Soc Am 68 1521-28

[9] Shiraishi K(2014)NGA-West2 database Earthq Spectra 30 989-60

[10] Fujie G(1999)Probabilistic seismic hazard analysis without the ergodic assumption Seismol Res Lett 70 19-486