| Seismology with dark data: Image‐based processing of analog records using machine learning for the Rangely earthquake control experiment K Wang, WL Ellsworth, GC Beroza, G Williams, M Zhang, D Schroeder, ... Seismological Research Letters 90 (2A), 553-562, 2019 | 21 | 2019 |
| Revisiting the Timpson induced earthquake sequence: A system of two parallel faults K Wang, W Ellsworth, GC Beroza Geophysical Research Letters 47 (15), e2020GL089192, 2020 | 14 | 2020 |
| Data fitting with non-stationary statistics JF Claerbout, A Guitton, SA Levin, K Wang | 5 | 2019 |
| DevelNet: Earthquake detection on Develocorder films with deep learning: Application to the Rangely earthquake control experiment K Wang, W Ellsworth, GC Beroza, W Zhu, JL Rubinstein Seismological Society of America 93 (5), 2515-2528, 2022 | 3 | 2022 |
| Earthquake detection in develocorder films: An image-based detection neural network for analog seismograms K Wang, W Zhu, WL Ellsworth, GC Beroza AGU Fall Meeting Abstracts 2019, S52A-06, 2019 | 2 | 2019 |
| New insights into the Rangely earthquake control experiment K Wang, G Beroza, W Ellsworth AGU Fall Meeting Abstracts 2021, S45B-0308, 2021 | | 2021 |
| Up-down separation and debubble using a multicomponent non-stationary prediction-error filter K Wang, J Jennings, J Claerbout SEG International Exposition and Annual Meeting, D043S151R002, 2019 | | 2019 |
| Earthquake catalog reconstruction from analog seismograms: Application to the Rangely Experiment microfilms K Wang, WL Ellsworth, GC Beroza, G Williams, M Zhang, DM Schroeder, ... AGU Fall Meeting Abstracts 2018, S13B-06, 2018 | | 2018 |
| Data-Driven Earthquake Location Method Project Report W Zhu, K Wang | | |
| Multichannel data: separating independent causes J Claerbout, K Wang | | |
William EllsworthStanford UniversityVerified email at stanford.edu
