output
20052022
most citedWhich picker fits my data? A quantitative evaluation of deep learning based seismic pickers

213 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2019 · physics.geo-phShow all

3 papers · 2 filters

physics.geo-ph2019★ 27 cited

A generalized theory for full microtremor horizontal-to-vertical [H/V (z, f)] spectral ratio interpretation in offshore and onshore environments

Agostiny Marrios Lontsi, Antonio García-Jerez, Juan Camilo Molina-Villegas +6

Advances in the field of seismic interferometry have provided a basic theoretical interpretation to the full spectrum of the microtremor horizontal-to-vertical spectral ratio [H/V(…

physics.geo-ph2019★ 30 cited

One neuron is more informative than a deep neural network for aftershock pattern forecasting

Arnaud Mignan, Marco Broccardo

29 August 2018: "Artificial intelligence nails predictions of earthquake aftershocks". This Nature News headline is based on the results of DeVries et al. (2018) who forecasted the…

physics.geo-ph2019★ 27 cited

Forecasting the rates of future aftershocks of all generations is essential to develop better earthquake forecast models

Shyam Nandan, Guy Ouillon, Didier Sornette +1

Currently, one of the best performing and most popular earthquake forecasting models rely on the working hypothesis that: "locations of past background earthquakes reveal the proba…