Applying Machine Learning to Crowd-sourced Data from Earthquake Detective

Add code
Nov 05, 2020
Omkar Ranadive, Suzan van der Lee, Vivian Tang, Kevin Chao
Figure 1 for Applying Machine Learning to Crowd-sourced Data from Earthquake Detective
Figure 2 for Applying Machine Learning to Crowd-sourced Data from Earthquake Detective
Figure 3 for Applying Machine Learning to Crowd-sourced Data from Earthquake Detective
Figure 4 for Applying Machine Learning to Crowd-sourced Data from Earthquake Detective

Share this with someone who'll enjoy it:

Twitter IconFacebook IconLinkedin IconWhatsapp IconMessenger Icon

We present the Earthquake Detective dataset - A crowdsourced set of labels on potentially triggered (PT) earthquakes and tremors. These events are those which may have been triggered by large magnitude and often distant earthquakes. We apply Machine Learning to classify these PT seismic events and explore the challenges faced in segregating such low amplitude signals. The data set and code are available online.

* Published in AI for Earth Sciences Workshop, NeurIPS 2020  
View paper onarxiv icon

Share this with someone who'll enjoy it:

Twitter IconFacebook IconLinkedin IconWhatsapp IconMessenger Icon