Machine learning for data-driven discovery in solid Earth geoscience
Automating geoscience analysis Solid Earth geoscience is a field that has very large set of observations, which are ideal for analysis with machine-learning methods. Bergen et a...
Publications
2 shownPhaseNet: A Deep-Neural-Network-Based Seismic Arrival Time Picking Method
As the number of seismic sensors grows, it is becoming increasingly difficult for analysts to pick seismic phases manually and comprehensively, yet such efforts are fundamental ...
Frequent Co-Authors
Researcher Info
- h-index
- 2
- Publications
- 2
- Citations
- 2,062
- Institution
- Stanford University
External Links
Identifiers
- ORCID
- 0000-0002-8667-1838
Impact Metrics
h-index
2
h-index: Number of publications with at least h citations each.