Lisa Linville
Title
Cited by
Cited by
Year
Deep learning models augment analyst decisions for event discrimination
L Linville, K Pankow, T Draelos
Geophysical Research Letters 46 (7), 3643-3651, 2019
162019
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
132014
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
52019
Contour‐based frequency‐domain event detection for seismic arrays
LM Linville, KL Pankow, DL Kilb
Seismological Research Letters 89 (4), 1514-1523, 2018
22018
Multimodal Data Fusion via Entropy Minimization.
L Linville, JJ Michalenko, DZ Anderson
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020
2020
Benchmarking Current and Emerging Approaches to Infrasound Signal Classification
S Albert, L Linville
Seismological Research Letters 91 (2A), 921-929, 2020
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
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
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
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
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
2018
Defeaturing using Machine Learning.
SJ Owen, T Shead, S Martin
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2018
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
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
2018
Data-Driven Methods in Earthquake Monitoring, Detection, and Catalog Building
LM Linville
PhDT, 2018
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
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
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
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
2014
Dynamic Earthquake Triggering Potential Across Earthscope's Transportable Array
LM Linville
Department of Geology and Geophysics, University of Utah, 2014
2014
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Articles 1–20