| 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 | 22 | 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 | 15 | 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 |
| Real‐time detection of volcanic unrest and eruption at axial seamount using machine learning K Wang, F Waldhauser, D Schaff, M Tolstoy, WSD Wilcock, YJ Tan Seismological Research Letters 95 (5), 2651-2662, 2024 | 1 | 2024 |
| Volcanic precursor revealed by machine learning offers new eruption forecasting capability K Wang, F Waldhauser, M Tolstoy, DP Schaff, T Sawi, WSD Wilcock, ... Authorea Preprints, 2024 | 1 | 2024 |
| Characterizing seismic and acoustic signals at Axial Seamount with unsupervised machine learning K Wang, F Waldhauser, M Tolstoy, WSD Wilcock, T Sawi, DP Schaff, ... AGU Fall Meeting Abstracts 2023, V14B-03, 2023 | | 2023 |
| Real-time Production and Analysis of High-Precision, Deep Magnitude Earthquake Catalogs F Waldhauser, K Wang, E Beauce, DP Schaff, T Sawi, BK Holtzman AGU Fall Meeting Abstracts 2023, S53B-08, 2023 | | 2023 |
| Unsupervised Machine Learning for Efficient Seismic Source Discrimination K Wang, F Waldhauser, T Sawi, E Beauce, BK Holtzman, N Groebner AGU Fall Meeting Abstracts 2023, S42B-08, 2023 | | 2023 |
| Developing a Catalog of Automated Focal Mechanisms for Microearthquakes at Axial Seamount Based on Waveform Correlation M Zhang, WSD Wilcock, F Waldhauser, K Wang, DP Schaff, M Tolstoy, ... AGU Fall Meeting Abstracts 2022, V12B-0045, 2022 | | 2022 |
| A Semi-Supervised Machine-Learning Approach to Detecting Repeating Earthquakes on the San Andreas Fault T Sawi, F Waldhauser, BK Holtzman, E Beauce, K Wang, N Groebner AGU Fall Meeting Abstracts 2022, S43A-04, 2022 | | 2022 |
| Mining a large earthquake catalog at Axial Seamount with unsupervised spectral feature extraction method K Wang, F Waldhauser, T Sawi, E Beauce, DP Schaff, N Groebner, ... AGU Fall Meeting Abstracts 2022, V16A-04, 2022 | | 2022 |
| 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 University在 stanford.edu 的电子邮件经过验证
