End of Eruption: Using Machine Learning to Identify Transitions in Volcanic Time Series Data
- ADS bibcode
- 2019AGUFM.V43B..08M
- year
- 2019
- Listed Authors
- Manley, G.
- Pyle, D. M.
- Mather, T. A.
- Rodgers, M.
- Thompson, G.
- Clifton, D. A.
- Roman, D. C.
- Stokell, B. G.
- Londono, J. M.
- Pimentel, M. A. F.
- Listed Institutions
- University of Oxford, Oxford, United Kingdom
- Department of Earth Sciences, University of Oxford, Oxford, United Kingdom
- Department of Earth Sciences, University of Oxford, Oxford, United Kingdom
- University of South Florida, School of Geosciences, Tampa, FL, United States
- School of Geosciences, University of South Florida Tampa, Tampa, FL, United States
- University of Oxford, Oxford, United Kingdom
- Department of Terrestrial Magnetism, Carnegie Institution for Science, Washington, DC, United States
- University of Cambridge, Cambridge, United Kingdom
- Colombia Geological Survey, Manizales, Colombia
- University of Oxford, Oxford, United Kingdom
Linked Authors [?]
Linked Institutions