Simone Cesca

Machine learning for data-driven discovery in solid Earth geoscience

FMC—Earthquake focal mechanisms data management, cluster and classification

Supervised machine learning on a network scale: application to seismic event classification and detection

A review on natural and human-induced geohazards and impacts in karst

Chemical Geodynamics

A seismological study of shallow weak micro-earthquakes in the urban area of Hamburg city, Germany, and its possible relation to salt dissolution

The Geological Susceptibility of Induced Earthquakes in the Duvernay Play

Human factors analysis of major coal mine accidents in China based on the HFACS-CM model and AHP method

Macroscopic Failure Processes at Mines Revealed by Acoustic Emission (AE) Monitoring

Automated microseismic event location using Master-Event Waveform Stacking

Automated procedure for point and kinematic source inversion at regional distances

Seismicity monitoring by cluster analysis of moment tensors

Imaging active faulting in a region of distributed deformation from the joint clustering of focal mechanisms and hypocentres: Application to the Azores–western Mediterranean region

Improving the estimation of detection probability and magnitude of completeness in strongly heterogeneous media, an application to acoustic emission (AE)

Current challenges in monitoring, discrimination, and management of induced seismicity related to underground industrial activities: A European perspective

Grond - A probabilistic earthquake source inversion framework