Name
Abstract | ||
|---|---|---|
This letter proposes an attention-based convolutional neural network architecture for multitasking learning to accurately classify not only the presence of an earthquake but also the event type of the earthquake. In particular, to improve the performance in earthquake-type classification, we develop an attention-based feature aggregation framework embedded in multitask learning architecture. Repre... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/LGRS.2020.2996640 | IEEE Geoscience and Remote Sensing Letters |
Keywords | DocType | Volume |
Earthquakes,Feature extraction,Task analysis,Convolution,Deep learning,Multitasking,Data mining | Journal | 18 |
Issue | ISSN | Citations |
7 | 1545-598X | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bonhwa Ku | 1 | 41 | 10.45 |
| Jeungki Min | 2 | 0 | 0.34 |
| Jae-Kwang Ahn | 3 | 0 | 1.69 |
| Jimin Lee | 4 | 0 | 0.68 |
| Hanseok Ko | 5 | 421 | 80.24 |