Machine Learning Can Predict the Timing and Size of Analog Earthquakes

F. Corbi, L. Sandri, J. Bedford, F. Funiciello, S. Brizzi, M. Rosenau, S. Lallemand

Open source

DOI: 10.1029/2018gl081251
Published: 2019-02-06
Container: Geophysical Research Letters
Publisher: American Geophysical Union (AGU)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1029/2018gl081251,
  title = {Machine Learning Can Predict the Timing and Size of Analog Earthquakes},
  author = {F. Corbi and L. Sandri and J. Bedford and F. Funiciello and S. Brizzi and M. Rosenau and S. Lallemand},
  year = {2019},
  journal = {Geophysical Research Letters},
  doi = {10.1029/2018gl081251},
  url = {https://doi.org/10.1029/2018gl081251}
}

RIS

TY  - JOUR
TI  - Machine Learning Can Predict the Timing and Size of Analog Earthquakes
AU  - F. Corbi
AU  - L. Sandri
AU  - J. Bedford
AU  - F. Funiciello
AU  - S. Brizzi
AU  - M. Rosenau
AU  - S. Lallemand
PY  - 2019
JO  - Geophysical Research Letters
DO  - 10.1029/2018gl081251
UR  - https://doi.org/10.1029/2018gl081251
ER  -

APA

Corbi, F., Sandri, L., Bedford, J., Funiciello, F., Brizzi, S., Rosenau, M., & Lallemand, S. (2019). Machine Learning Can Predict the Timing and Size of Analog Earthquakes. Geophysical Research Letters. https://doi.org/10.1029/2018gl081251

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crossref · retrieved 2026-09-26T11:44:32.090Z