Explainable machine learning for labquake prediction using catalog-driven features

Sea Level Changes Affect Seismicity Rates in a Hydrothermal System Near Istanbul

(2023) P. Martínez‐Garzón et al.   GEOPHYSICAL RESEARCH LETTERS

Using a physics-informed neural network and fault zone acoustic monitoring to predict lab earthquakes

(2023) Prabhav Borate et al.   Nature Communications

Deep learning for laboratory earthquake prediction and autoregressive forecasting of fault zone stress

(2022) Laura Laurenti et al.   EARTH AND PLANETARY SCIENCE LETTERS

Deciphering aseismic deformation along submarine fault branches below the eastern Sea of Marmara (Turkey): Insights from seismicity, strainmeter, and GNSS data

(2022) V. Durand et al.   EARTH AND PLANETARY SCIENCE LETTERS

Predicting Future Laboratory Fault Friction Through Deep Learning Transformer Models

(2022) Kun Wang et al.   GEOPHYSICAL RESEARCH LETTERS

Limited Earthquake Interaction During a Geothermal Hydraulic Stimulation in Helsinki, Finland

(2022) Grzegorz Kwiatek et al.   JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH

Laboratory earthquake forecasting: A machine learning competition

(2021) Paul A. Johnson et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Deep and confident prediction for a laboratory earthquake

(2021) Yuanyuan Pu et al.   NEURAL COMPUTING & APPLICATIONS

Near-Fault Monitoring Reveals Combined Seismic and Slow Activation of a Fault Branch within the Istanbul–Marmara Seismic Gap in Northwest Turkey

(2021) Patricia Martínez-Garzón et al.   SEISMOLOGICAL RESEARCH LETTERS

Machine Learning Predicts the Timing and Shear Stress Evolution of Lab Earthquakes Using Active Seismic Monitoring of Fault Zone Processes

(2021) Srisharan Shreedharan et al.   JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH

Attention Network Forecasts Time‐to‐Failure in Laboratory Shear Experiments

(2021) Hope Jasperson et al.   JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH

Frequency‐Magnitude Statistics of Laboratory Foreshocks Vary With Shear Velocity, Fault Slip Rate, and Shear Stress

(2021) David C. Bolton et al.   JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH

Predicting Imminence of Analog Megathrust Earthquakes With Machine Learning: Implications for Monitoring Subduction Zones

(2020) F. Corbi et al.   GEOPHYSICAL RESEARCH LETTERS

Machine‐Learning‐Based Analysis of the Guy‐Greenbrier, Arkansas Earthquakes: A Tale of Two Sequences

(2020) Yongsoo Park et al.   GEOPHYSICAL RESEARCH LETTERS

Localization and coalescence of seismicity before large earthquakes

(2020) Yehuda Ben-Zion et al.   GEOPHYSICAL JOURNAL INTERNATIONAL

Earthquake transformer—an attentive deep-learning model for simultaneous earthquake detection and phase picking

(2020) S. Mostafa Mousavi et al.   Nature Communications

Deformation Precursors to Catastrophic Failure in Rocks

(2020) J. A. McBeck et al.   GEOPHYSICAL RESEARCH LETTERS

Machine Learning can predict the timing and size of analog earthquakes

(2019) F. Corbi et al.   GEOPHYSICAL RESEARCH LETTERS

Pairwise Association of Seismic Arrivals with Convolutional Neural Networks

(2019) Ian W. McBrearty 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

Deep learning for seismic phase detection and picking in the aftershock zone of 2008 M7.9 Wenchuan Earthquake

(2019) Lijun Zhu et al.   PHYSICS OF THE EARTH AND PLANETARY INTERIORS

Machine Learning Reveals the State of Intermittent Frictional Dynamics in a Sheared Granular Fault

(2019) C. X. Ren 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

Seismic clustering in the Sea of Marmara: Implications for monitoring earthquake processes

(2019) Patricia Martínez-Garzón et al.   TECTONOPHYSICS

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

Estimating Fault Friction From Seismic Signals in the Laboratory

(2018) Bertrand Rouet-Leduc et al.   GEOPHYSICAL RESEARCH LETTERS

Generalized Seismic Phase Detection with Deep Learning

(2018) Zachary E. Ross et al.   BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA

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

What allows seismic events to grow big?: Insights from b-value and fault roughness analysis in laboratory stick-slip experiments

(2017) Thomas H.W. Goebel et al.   GEOLOGY

Machine Learning Predicts Laboratory Earthquakes

(2017) Bertrand Rouet-Leduc et al.   GEOPHYSICAL RESEARCH LETTERS

Medium–large earthquake magnitude prediction in Tokyo with artificial neural networks

(2015) G. Asencio-Cortés et al.   NEURAL COMPUTING & APPLICATIONS

Iterative joint inversion for stress and fault orientations from focal mechanisms

(2014) Václav Vavryčuk   GEOPHYSICAL JOURNAL INTERNATIONAL

Seismic moment tensor andbvalue variations over successive seismic cycles in laboratory stick-slip experiments

(2014) Grzegorz Kwiatek et al.   GEOPHYSICAL RESEARCH LETTERS

MSATSI: A MATLAB Package for Stress Inversion Combining Solid Classic Methodology, a New Simplified User-Handling, and a Visualization Tool

(2014) P. Martinez-Garzon et al.   SEISMOLOGICAL RESEARCH LETTERS

The debate on the prognostic value of earthquake foreshocks: A meta-analysis

(2014) Arnaud Mignan   Scientific Reports

Acoustic emission and microslip precursors to stick-slip failure in sheared granular material

(2013) P. A. Johnson et al.   GEOPHYSICAL RESEARCH LETTERS

Earthquake clusters in southern California I: Identification and stability

(2013) Ilya Zaliapin et al.   JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH

Neural networks to predict earthquakes in Chile

(2012) J. Reyes et al.   APPLIED SOFT COMPUTING

Identifying fault heterogeneity through mapping spatial anomalies in acoustic emission statistics

(2011) T. H. W. Goebel et al.   JOURNAL OF GEOPHYSICAL RESEARCH

Connecting near-field and far-field earthquake triggering to dynamic strain

(2010) Nicholas J. van der Elst et al.   JOURNAL OF GEOPHYSICAL RESEARCH

Clustering Analysis of Seismicity and Aftershock Identification

(2008) Ilya Zaliapin et al.   PHYSICAL REVIEW LETTERS