| Deep learning models augment analyst decisions for event discrimination L Linville, K Pankow, T Draelos Geophysical Research Letters 46 (7), 3643-3651, 2019 | 115 | 2019 |
| 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 | 29 | 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 | 23 | 2014 |
| Benchmarking current and emerging approaches to infrasound signal classification S Albert, L Linville Seismological research letters 91 (2A), 921-929, 2020 | 19 | 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 | 10 | 2019 |
| Event‐based training in label‐limited regimes LM Linville Journal of Geophysical Research: Solid Earth 127 (1), e2021JB022820, 2022 | 7 | 2022 |
| Semisupervised learning for seismic monitoring applications L Linville, D Anderson, J Michalenko, J Galasso, T Draelos Seismological Research Letters 92 (1), 388-395, 2021 | 7 | 2021 |
| Global to local high‐resolution event catalogs for algorithm testing and source studies L Linville, R Brogan, C Young, KA Aur Seismol. Res. Lett., 2019 | 7 | 2019 |
| Contour‐based frequency‐domain event detection for seismic arrays LM Linville, KL Pankow, DL Kilb Seismological Research Letters 89 (4), 1514-1523, 2018 | 4 | 2018 |
| Multimodal Data Fusion via Entropy Minimization JJ Michalenko, LM Linville, DZ Anderson IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 2 | 2020 |
| Single-Station Backazimuth Estimations for Earthquake & Explosive Sources. K Davenport, L Linville, C Young Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021 | 1 | 2021 |
| 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 | 1 | 2018 |
| 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 AGU Fall Meeting Abstracts 2014, S13B-4451, 2014 | 1 | 2014 |
| Data report: paleomagnetic and rock magnetic measurements on Hole U1301B basaltic samples WW Sager, BA Housen, LM Linville Proc. IODP| Volume 301, 2, 2008 | 1 | 2008 |
| Advancements in Forensic Seismology to Improve Monitoring Capabilities III Poster AC Aguiar, E Chaves, L Linville, XP Campos, JA Kintner AGU23, 2023 | | 2023 |
| Creating Multi-Task Deep Learning Models for Earthquake Signals C Chai, D Rose, S Stewart, N Martindale, M Adams, L Linville, J Hite, ... AGU Fall Meeting Abstracts 2023 (415), S31G-0415, 2023 | | 2023 |
| Exploring Foundation Models for Seismic Event Processing L Linville EarthArXiv, 2023 | | 2023 |
| Data Fusion via Neural Network Entropy Minimization for Target Detection and Multi-Sensor Event Classification D Anderson, J Garcia, L Linville, J Michalenko Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | | 2022 |
| Event-Based Learning in Label-Limited Regimes. L Linville Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | | 2022 |
| Assessing the Limits of Predictive Uncertainty in Seismic Event Discrimination Using Bayesian Neural Networks. J Garcia, L Linville, T Catanach Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | | 2022 |
Kris PankowUniversity of UtahZweryfikowany adres z utah.edu
