51 citations · 51 across the 1 of their papers we have counts for
4 papers
The dynamics of entropy in the COVID-19 outbreaks
Ziqi Wang, Marco Broccardo, Arnaud Mignan +1
With the unfolding of the COVID-19 pandemic, mathematical modeling of epidemics has been perceived and used as a central element in understanding, predicting, and governing the pan…
Neural Network Applications in Earthquake Prediction (1994-2019): Meta-Analytic Insight on their Limitations
Arnaud Mignan, Marco Broccardo
In the last few years, deep learning has solved seemingly intractable problems, boosting the hope to find approximate solutions to problems that now are considered unsolvable. Eart…
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…
Hierarchical Bayesian modeling of fluid-induced seismicity
Marco Broccardo, Arnaud Mignan, Stefan Wiemer +2
In this study, we present a Bayesian hierarchical framework to model fluid-induced seismicity. The framework is based on a non-homogeneous Poisson process (NHPP) with a fluid-induc…