Lisa Linville
Cited by
Cited by
Deep learning models augment analyst decisions for event discrimination
L Linville, K Pankow, T Draelos
Geophysical Research Letters 46 (7), 3643-3651, 2019
Exploring remote earthquake triggering potential across EarthScopes' Transportable Array through frequency domain array visualization
L Linville, K Pankow, D Kilb, A Velasco
Journal of Geophysical Research: Solid Earth 119 (12), 8950-8963, 2014
Classification of local seismic events in the Utah region: A comparison of amplitude ratio methods with a spectrogram‐based machine learning approach
R Tibi, L Linville, C Young, R Brogan
Bulletin of the Seismological Society of America 109 (6), 2532-2544, 2019
Contour‐based frequency‐domain event detection for seismic arrays
LM Linville, KL Pankow, DL Kilb
Seismological Research Letters 89 (4), 1514-1523, 2018
Multimodal Data Fusion via Entropy Minimization.
L Linville, JJ Michalenko, DZ Anderson
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020
Benchmarking Current and Emerging Approaches to Infrasound Signal Classification
S Albert, L Linville
Seismological Research Letters 91 (2A), 921-929, 2020
Global‐and Local‐Scale High‐Resolution Event Catalogs for Algorithm Testing
L Linville, RC Brogan, C Young, KA Aur
Seismological Research Letters 90 (5), 1987-1993, 2019
Seismic and Infrasound Reference Data Sets.
ND Roberts, CJ Young, L Linville, NJ Downey
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2019
Classification of Local Seismic Events in the Utah Region: A Comparison of Amplitude Ratio Methods with a Machine Learning Approach
L Linville, R Tibi, CJ Young, R Brogan
AGU Fall Meeting 2018, 2018
Tilt Trivia: A Free Multiplayer App to Learn Geoscience Concepts and Definitions
D Kilb, A Yang, N Garrett, K Pankow, J Rubinstein, L Linville
Seismological Research Letters 89 (5), 1908-1915, 2018
Seismic Phase Identification with a Merged Deep Neural Network.
TJ Draelos, J Galasso, L Linville
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2018
Defeaturing using Machine Learning.
SJ Owen, T Shead, S Martin
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2018
Semi-Supervised Classification of Seismic Events in an Inaccessible Region.
JJ Michalenko, DZ Anderson, RL Hansen, TJ Draelos, J Galasso, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2018
The Seismological Society of America will present its most prestigious awards to the following honorees at the Society’s 2018 Annual Meeting, to be held 24–26 April 2018 …
N Abolfathian, K Bergen, DC Cruz, P DeVries, M Florez, A Grant, C Hale, ...
Annual Meeting, to be held 24, 26, 2018
Data-Driven Methods in Earthquake Monitoring, Detection, and Catalog Building
LM Linville
PhDT, 2018
Leveraging Long-term Seismic Catalogs for Automated Real-time Event Classification
L Linville, T Draelos, KL Pankow, CJ Young, S Alvarez
AGUFM 2017, S41D-04, 2017
Dense Seismic Recordings of Two Surface-Detonated Chemical Explosions
KD Koper, JM Hale, R Burlacu, KJ Goddard, A Trow, LM Linville, JR Stein, ...
AGU Fall Meeting Abstracts 2015, S52B-03, 2015
Time-Domain Techniques to Automatically Detect Local Earthquakes in the Wavetrain of Large Remote Teleseseismic Events Using Data within the Continental United States
RA Alfaro-Diaz, AA Velasco, D Kilb, K Pankow, LM Linville
AGUFM 2014, S43A-4524, 2014
Frequency Domain Detection with Nearest Neighbor Clustering to Detect Dynamically Triggered Remote Small Earthquakes within the Footprint of the EarthScope USArray …
DL Kilb, LM Linville, KL Pankow
AGUFM 2014, S13B-4451, 2014
Dynamic Earthquake Triggering Potential Across Earthscope's Transportable Array
LM Linville
Department of Geology and Geophysics, University of Utah, 2014
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