134 citations · 309 across the 9 of their papers we have counts for
10 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…
Generalized Earthquake Frequency-Magnitude Distribution Described by Asymmetric Laplace Mixture Modelling
Arnaud Mignan
The complete part of the earthquake frequency-magnitude distribution (FMD), above completeness magnitude mc, is well described by the Gutenberg-Richter law. The parameter mc howeve…
Text Classification of the Precursory Accelerating Seismicity Corpus: Inference on some Theoretical Trends in Earthquake Predictability Research from 1988 to 2018
Arnaud Mignan
Text analytics based on supervised machine learning classifiers has shown great promise in a multitude of domains, but has yet to be applied to Seismology. We test various standard…
Autonomous decision-making against induced seismicity in deep fluid injections
Arnaud Mignan, Marco Broccardo, Stefan Wiemer +1
The rise in the frequency of anthropogenic earthquakes due to deep fluid injections is posing serious economic, societal, and legal challenges to geo-energy and waste-disposal proj…