Nonvolcanic deep tremor associated with subduction in southwest japan, Science, vol.296, pp.1679-1681, 2002. ,
Connecting slow earthquakes to huge earthquakes, Science, vol.353, pp.253-257, 2016. ,
Non-volcanic tremor and low-frequency earthquake swarms, Nature, vol.446, pp.305-307, 2007. ,
Slow earthquakes and nonvolcanic tremor, Annu. Rev. Earth Planet. Sci, vol.39, pp.271-296, 2011. ,
An integrated perspective of the continuum between earthquakes and slow-slip phenomena, Nat. Geosci, vol.3, p.599, 2010. ,
Slow-slip phenomena in cascadia from 2007 and beyond: a review, GSA Bull, vol.122, pp.963-978, 2010. ,
Non-volcanic Tremor: A Window into the Roots of Fault Zones, 2010. ,
Slow slip events in the roots of the san andreas fault, Sci. Adv, vol.5, p.3274, 2019. ,
URL : https://hal.archives-ouvertes.fr/hal-02928032
The transient and intermittent nature of slow slip, AGU Adv, vol.1, pp.2019-000126, 2020. ,
URL : https://hal.archives-ouvertes.fr/hal-02944816
The Mechanics of Earthquakes and Faulting, i-i, 2019. ,
Effect of pore pressure buildup on slowness of rupture propagation, J. Geophys. Res, vol.120, pp.7966-7985, 2015. ,
Rheological separation of the megathrust seismogenic zone and episodic tremor and slip, Nature, vol.543, p.416, 2017. ,
Similarity of fast and slow earthquakes illuminated by machine learning, Nat. Geosci, vol.12, p.69, 2019. ,
Similar scaling laws for earthquakes and cascadia slow-slip events, Nature, vol.574, pp.522-526, 2019. ,
The burst-like behavior of aseismic slip on a rough fault: the creeping section of the Haiyuan Fault, China. Bull. Seismol. Soc. Am, vol.105, pp.480-488, 2014. ,
URL : https://hal.archives-ouvertes.fr/insu-01302143
Daily measurement of slow slip from lowfrequency earthquakes is consistent with ordinary earthquake scaling, Sci. Adv, vol.5, p.9386, 2019. ,
Laboratory-derived friction laws and their application to seismic faulting, Annu. Rev. Earth Planet. Sci, vol.26, pp.643-696, 1998. ,
Slow earthquakes, preseismic velocity changes, and the origin of slow frictional stick-slip, Science, vol.341, pp.1229-1232, 2013. ,
Precursory changes in seismic velocity for the spectrum of earthquake failure modes, Nat. Geosci, vol.9, p.695, 2016. ,
Continuous chatter of the cascadia subduction zone revealed by machine learning, Nat. Geosci, vol.12, pp.75-79, 2019. ,
Convolutional neural network for earthquake detection and location, Sci. Adv, vol.4, p.1700578, 2018. ,
P wave arrival picking and firstmotion polarity determination with deep learning, J. Geophys. Res, vol.123, pp.5120-5129, 2018. ,
Pairwise association of seismic arrivals with convolutional neural networks, Seismol. Res. Lett, vol.90, pp.503-509, 2019. ,
Phaselink: a deep learning approach to seismic phase association, J. Geophys. Res, vol.124, pp.856-869, 2019. ,
Machine learning reveals cyclic changes in seismic source spectra in geysers geothermal field, Sci. Adv, vol.4, p.2929, 2018. ,
Episodic tremor and slip on the cascadia subduction zone: the chatter of silent slip, Science, vol.300, pp.1942-1943, 2003. ,
A wide depth distribution of seismic tremors along the northern Cascadia margin, Nature, vol.436, pp.841-844, 2005. ,
Seismic and geodetic constraints on cascadia slow slip, J. Geophys. Res, vol.114, p.10316, 2009. ,
Slip rate and tremor genesis in Cascadia, Geophys. Res. Lett, vol.41, pp.392-398, 2014. ,
Variations in slow slip moment rate associated with rapid tremor reversals in Cascadia, Geochem. Geophys. Geosyst, vol.17, pp.4899-4919, 2016. ,
Slow slip hidden in the noise: the intermittence of tectonic release, Geophys. Res. Lett, vol.43, p.133, 2016. ,
A plate boundary observatory, Iris Newsl, vol.16, p.3, 1999. ,
Greedy function approximation: a gradient boosting machine, Ann. Stat, vol.29, pp.1189-1232, 2001. ,
Machine learning predicts laboratory earthquakes, Geophys. Res. Lett, vol.44, pp.9276-9282, 2017. ,
From force chains to acoustic emission, Phys. Rev. Lett, vol.123, p.48003, 2019. ,
Machine learning reveals the state of intermittent frictional dynamics in a sheared granular fault, Geophys. Res. Lett, vol.46, pp.7395-7403, 2019. ,
Characterization of nucleation during laboratory earthquakes, Geophys. Res. Lett, vol.40, pp.5064-5069, 2013. ,
A constitutive scaling law and a unified comprehension for frictional slip failure, shear fracture of intact rock, and earthquake rupture, J. Geophys. Res, vol.108, p.2080, 2003. ,
Estimating fault friction from seismic signals in the laboratory, Geophys. Res. Lett, vol.45, pp.1321-1329, 2018. ,
Probing slow earthquakes with deep learning, Geophys. Res. Lett, vol.47, pp.2019-085870, 2020. ,
The long precursory phase of most large interplate earthquakes, Nat. Geosci, vol.6, pp.299-302, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00864703
Pervasive foreshock activity across southern california, Geophys. Res. Lett, vol.46, pp.8772-8781, 2019. ,
On the statistical significance of foreshock sequences in southern california, Geophys. Res. Lett, vol.47, pp.2019-086224, 2020. ,
URL : https://hal.archives-ouvertes.fr/hal-02459387
Estimating fault friction from seismic signals in the laboratory, Geophys. Res. Lett, vol.45, pp.1321-1329, 2018. ,
Scikit-learn: machine learning in python, J. Mach. Learn. Res, vol.12, pp.2825-2830, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00650905
Xgboost: a scalable tree boosting system, Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp.785-794, 2016. ,
Scikit-optimize: Sequential Model-based Optimization in Python, 2017. ,