Thread: SSA Session: Machine Learning and its Application to Earthquake and Explosion Signal Analysis

Dear Colleagues,

We encourage you to consider submitting an abstract (due by 5:00 PM PST on Wednesday, January 11) to the following special session at the 2017 Seismological Society of America special session in Denver.

Machine Learning and its Application to Earthquake and Explosion Signal Analysis
This session focuses on the application of machine learning techniques to the analysis of seismic, infrasound, hydro-acoustic, remote sensing, electromagnetic, and other signals. The goals of machine learning applied to these signals include improved signal and event detection, phase identification, event discrimination, signal association, explosive yield estimation, and general signal and source characterization.
Sincerely,

Timothy Draelos <tjdrael<at>sandia.gov<tjdrael<at>sandia.gov>>
Hunter Knox <haknox<at>sandia.gov<haknox<at>sandia.gov>>