Name
Title | ||
|---|---|---|
Volcano-Seismic Transfer Learning and Uncertainty Quantification With Bayesian Neural Networks. |
Abstract | ||
|---|---|---|
Over the past few years, deep learning (DL) has emerged as an important tool in the fields of volcano and earthquake seismology. However, these methods have been applied without performing thorough analyses of the associated uncertainties. Here, we propose a solution to enhance volcano-seismic monitoring systems, through probabilistic Bayesian DL; we implement and demonstrate a workflow for wavefo... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TGRS.2019.2941494 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Uncertainty,Volcanoes,Bayes methods,Earthquakes,Neural networks,Seismology,Probabilistic logic | Computer vision,Uncertainty quantification,Volcano,Transfer of learning,Artificial intelligence,Bayesian neural networks,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
58 | 2 | 0196-2892 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ángel Bueno | 1 | 4 | 1.88 |
| M. Carmen Benítez | 2 | 303 | 25.05 |
| Silvio De Angelis | 3 | 0 | 1.01 |
| Alejandro Diaz-Moreno | 4 | 0 | 0.68 |
| Jesús Ibáñez | 5 | 20 | 3.91 |