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Title
Laboratory earthquake forecasting: A machine learning competition
Authors
Keywords
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Journal
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Volume 118, Issue 5, Pages e2011362118
Publisher
Proceedings of the National Academy of Sciences
Online
2021-01-26
DOI
10.1073/pnas.2011362118
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Note: Only part of the references are listed.- Preseismic Fault Creep and Elastic Wave Amplitude Precursors Scale with Lab Earthquake Magnitude for the Continuum of Tectonic Failure Modes
- (2020) Srisharan Shreedharan et al. GEOPHYSICAL RESEARCH LETTERS
- Probing Slow Earthquakes With Deep Learning
- (2020) Bertrand Rouet‐Leduc et al. GEOPHYSICAL RESEARCH LETTERS
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- (2020) C. X. Ren et al. GEOPHYSICAL RESEARCH LETTERS
- Seismic velocity precursors to the 2016 Mw 6.5 Norcia (Italy) earthquake
- (2020) C. Chiarabba et al. GEOLOGY
- Predicting Imminence of Analog Megathrust Earthquakes With Machine Learning: Implications for Monitoring Subduction Zones
- (2020) F. Corbi et al. GEOPHYSICAL RESEARCH LETTERS
- Neural Network Applications in Earthquake Prediction (1994–2019): Meta-Analytic and Statistical Insights on Their Limitations
- (2020) Arnaud Mignan et al. SEISMOLOGICAL RESEARCH LETTERS
- An exponential build-up in seismic energy suggests a months-long nucleation of slow slip in Cascadia
- (2020) Claudia Hulbert et al. Nature Communications
- Machine Learning can predict the timing and size of analog earthquakes
- (2019) F. Corbi et al. GEOPHYSICAL RESEARCH LETTERS
- PhaseLink: A Deep Learning Approach to Seismic Phase Association
- (2019) Zachary E Ross et al. JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
- Foreshocks and Mainshock Nucleation of the 1999 M _w 7.1 Hector Mine, California, Earthquake
- (2019) Clara E. Yoon et al. JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
- An Investigation of Rapid Earthquake Characterization Using Single‐Station Waveforms and a Convolutional Neural Network
- (2019) Anthony Lomax et al. SEISMOLOGICAL RESEARCH LETTERS
- Characterizing Acoustic Signals and Searching for Precursors during the Laboratory Seismic Cycle Using Unsupervised Machine Learning
- (2019) David C. Bolton et al. SEISMOLOGICAL RESEARCH LETTERS
- Machine learning for data-driven discovery in solid Earth geoscience
- (2019) Karianne J. Bergen et al. SCIENCE
- Pervasive foreshock activity across southern California
- (2019) Daniel T. Trugman et al. GEOPHYSICAL RESEARCH LETTERS
- CRED: A Deep Residual Network of Convolutional and Recurrent Units for Earthquake Signal Detection
- (2019) S. Mostafa Mousavi et al. Scientific Reports
- Towards Global Volcano Monitoring Using Multisensor Sentinel Missions and Artificial Intelligence: The MOUNTS Monitoring System
- (2019) Sébastien Valade et al. Remote Sensing
- A deep learning approach to detecting volcano deformation from satellite imagery using synthetic datasets
- (2019) N. Anantrasirichai et al. REMOTE SENSING OF ENVIRONMENT
- The Application of Convolutional Neural Networks to Detect Slow, Sustained Deformation in InSAR Time Series
- (2019) N. Anantrasirichai et al. GEOPHYSICAL RESEARCH LETTERS
- Machine learning for graph-based representations of three-dimensional discrete fracture networks
- (2018) Manuel Valera et al. COMPUTATIONAL GEOSCIENCES
- Reducing process delays for real-time earthquake parameter estimation – An application of KD tree to large databases for Earthquake Early Warning
- (2018) Lucy Yin et al. COMPUTERS & GEOSCIENCES
- Evolution of b -value during the seismic cycle: Insights from laboratory experiments on simulated faults
- (2018) J. Rivière et al. EARTH AND PLANETARY SCIENCE LETTERS
- Generalized Seismic Phase Detection with Deep Learning
- (2018) Zachary E. Ross et al. BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA
- Emergent Wave Conversion as a Precursor to Shear Crack Initiation
- (2018) Anahita Modiriasari et al. GEOPHYSICAL RESEARCH LETTERS
- Frictional Mechanics of Slow Earthquakes
- (2018) J. R. Leeman et al. JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
- PhaseNet: A Deep-Neural-Network-Based Seismic Arrival Time Picking Method
- (2018) Weiqiang Zhu et al. GEOPHYSICAL JOURNAL INTERNATIONAL
- Earthquake Catalog-Based Machine Learning Identification of Laboratory Fault States and the Effects of Magnitude of Completeness
- (2018) Nicholas Lubbers et al. GEOPHYSICAL RESEARCH LETTERS
- Similarity of fast and slow earthquakes illuminated by machine learning
- (2018) Claudia Hulbert et al. Nature Geoscience
- Continuous chatter of the Cascadia subduction zone revealed by machine learning
- (2018) Bertrand Rouet-Leduc et al. Nature Geoscience
- Machine Learning in Seismology: Turning Data into Insights
- (2018) Qingkai Kong et al. SEISMOLOGICAL RESEARCH LETTERS
- Do slow slip events trigger large and great megathrust earthquakes?
- (2018) N. Voss et al. Science Advances
- Machine Learning Predicts Laboratory Earthquakes
- (2017) Bertrand Rouet-Leduc et al. GEOPHYSICAL RESEARCH LETTERS
- Constraining self-organizing map facies analysis with stratigraphy: An approach to increase the credibility in automatic seismic facies classification
- (2017) Tao Zhao et al. Interpretation-A Journal of Subsurface Characterization
- Triggering of the 2014 M w 7.3 Papanoa earthquake by a slow slip event in Guerrero, Mexico
- (2016) M. Radiguet et al. Nature Geoscience
- Precursory changes in seismic velocity for the spectrum of earthquake failure modes
- (2016) M. M. Scuderi et al. Nature Geoscience
- Connecting slow earthquakes to huge earthquakes
- (2016) Kazushige Obara et al. SCIENCE
- On the evolution of elastic properties during laboratory stick-slip experiments spanning the transition from slow slip to dynamic rupture
- (2016) E. Tinti et al. JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
- Earthquake detection through computationally efficient similarity search
- (2015) C. E. Yoon et al. Science Advances
- Precursors to the shear failure of rock discontinuities
- (2014) Ahmadreza Hedayat et al. GEOPHYSICAL RESEARCH LETTERS
- Multiple slow-slip events during a foreshock sequence of the 2014 Iquique, Chile Mw 8.1 earthquake
- (2014) Aitaro Kato et al. GEOPHYSICAL RESEARCH LETTERS
- Intense foreshocks and a slow slip event preceded the 2014 Iquique Mw 8.1 earthquake
- (2014) S. Ruiz et al. SCIENCE
- Geological mapping using remote sensing data: A comparison of five machine learning algorithms, their response to variations in the spatial distribution of training data and the use of explicit spatial information
- (2013) Matthew J. Cracknell et al. COMPUTERS & GEOSCIENCES
- Acoustic emission and microslip precursors to stick-slip failure in sheared granular material
- (2013) P. A. Johnson et al. GEOPHYSICAL RESEARCH LETTERS
- The long precursory phase of most large interplate earthquakes
- (2013) Michel Bouchon et al. Nature Geoscience
- Slow Earthquakes, Preseismic Velocity Changes, and the Origin of Slow Frictional Stick-Slip
- (2013) B. M. Kaproth et al. SCIENCE
- Propagation of Slow Slip Leading Up to the 2011 Mw 9.0 Tohoku-Oki Earthquake
- (2012) A. Kato et al. SCIENCE
- Slow Earthquakes and Nonvolcanic Tremor
- (2011) Gregory C. Beroza et al. Annual Review of Earth and Planetary Sciences
- Micromechanics of asperity rupture during laboratory stick slip experiments
- (2011) Gregory C. McLaskey et al. GEOPHYSICAL RESEARCH LETTERS
- Extended Nucleation of the 1999 Mw 7.6 Izmit Earthquake
- (2011) M. Bouchon et al. SCIENCE
- Frictional strength and strain weakening in simulated fault gouge: Competition between geometrical weakening and chemical strengthening
- (2010) André Niemeijer et al. JOURNAL OF GEOPHYSICAL RESEARCH
- Episodic slow slip events and rate-and-state friction
- (2008) Allan M. Rubin JOURNAL OF GEOPHYSICAL RESEARCH
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