About: Machine Learning Predicts Laboratory Earthquakes

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scholarly article by Bertrand Rouet-Leduc et al published 22 September 2017 in Geophysical Research Letters

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) наукова стаття, опублікована у вересні 2017 (uk) im September 2017 veröffentlichter wissenschaftlicher Artikel (de) scholarly article by Bertrand Rouet-Leduc et al published 22 September 2017 in Geophysical Research Letters (en)
publication date	wds:Q60712851-522863D8-3546-4E26-8F47-5F5943115CBC
publication date	2017-09-22 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q60712851-36BC83A2-D9AF-489D-87B5-B134D56EE9EB
language of work or name	English
cites work	wds:Q60712851-D6875B3A-56A9-405B-9754-A20320A9A399
cites work	Random Forests
author name string	wds:Q60712851-30778E07-E22D-447E-B354-3243A8AF81A1 wds:Q60712851-EA46AE19-241D-4742-BCE7-21E04E690EA2 wds:Q60712851-FCF6CE46-1917-45C5-9E72-82C3AFBAFA7C
author name string	Paul A. Johnson Claudia Hulbert Kipton Barros
rdfs:label	Machine Learning Predicts Laboratory Earthquakes (en) Machine Learning Predicts Laboratory Earthquakes (nl)
skos:prefLabel	Machine Learning Predicts Laboratory Earthquakes (en) Machine Learning Predicts Laboratory Earthquakes (nl)
name	Machine Learning Predicts Laboratory Earthquakes (en) Machine Learning Predicts Laboratory Earthquakes (nl)
author	wds:Q60712851-0AB8430E-7A26-4783-A3A5-13A1ED262A4A wds:Q60712851-28C17610-BD73-44EC-B2DF-263206988973 wds:Q60712851-72DEEF82-E21E-4496-A8EF-0CCE25A0CB88
author	Colin Humphreys Bertrand Rouet-Leduc Nicholas Lubbers
title	wds:Q60712851-B6971610-736A-4CB0-ACEA-68A4F45827A7
title	Machine Learning Predicts Laboratory Earthquakes (en)
page(s)	wds:Q60712851-8E7732EA-1682-4BA6-A128-E9B47F8485A4
page(s)	9276-9282
instance of	wds:Q60712851-F3315C19-F30F-4B76-B6EF-97229C26D507
instance of	scholarly article
main subject	wds:Q60712851-3E384FE3-D885-40B6-90BC-5671D45E9919 wds:Q60712851-3F2F3CBF-332D-430D-B09D-49F0AE59B748
main subject	machine learning earthquake
published in	wds:Q60712851-29BE077E-3462-4431-B81C-D315DFBF5B0A
published in	Geophysical Research Letters
issue	wds:Q60712851-EE31ED7A-4631-4944-8D0A-1ECABB15DF44
volume	wds:Q60712851-D16BCD6A-D650-4AC3-A356-CD395BDE7EDB
issue	18
volume	44
number of pages	wds:Q60712851-C1C8FC7C-764D-4CA6-8600-A183F3FDC665
number of pages	7 (xsd:decimal)
DOI	wds:Q60712851-205FFAFB-59BD-4F17-BF31-DC6523587AF8
DOI	http://dx.doi.org/10.1002/2017GL074677
DOI	10.1002/2017GL074677
arXiv ID	wds:Q60712851-7529592C-9D0A-49E5-A168-3F6A88DA0885
arXiv ID	1702.05774
ADS bibcode	wds:Q60712851-1AC263C1-2F98-4335-84E0-8CBEC2EDFE81
ADS bibcode	2017GeoRL..44.9276R
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q60712851
is cites work of	Machine Learning Seismic Wave Discrimination: Application to Earthquake Early Warning Reliable Real-time Seismic Signal/Noise Discrimination with Machine Learning Exploring the link between microseism and sea ice in Antarctica by using machine learning Clustering earthquake signals and background noises in continuous seismic data with unsupervised deep learning Spatiotemporal Distribution of Microearthquakes and Implications Around the Seismic Gap Between the Wenchuan and Lushan Earthquakes Modeling of Stick-Slip Behavior in Sheared Granular Fault Gouge Using the Combined Finite-Discrete Element Method Continuous chatter of the Cascadia subduction zone revealed by machine learning Similarity of fast and slow earthquakes illuminated by machine learning An exponential build-up in seismic energy suggests a months-long nucleation of slow slip in Cascadia Earthquake Catalog-Based Machine Learning Identification of Laboratory Fault States and the Effects of Magnitude of Completeness High-resolution seismic tomography of Long Beach, CA using machine learning Prediction of creep failure time using machine learning Machine Learning Reveals the Seismic Signature of Eruptive Behavior at Piton de la Fournaise Volcano
is cites work of	wds:Q60309667-5F92A9F0-2A18-486E-9735-7119B8F49988 wds:Q90045347-D7DE54DD-EE30-475D-BE47-49A8A7FB8DB9 wds:Q98245610-97D89983-3127-4C4B-9A75-115D37940AA8 wds:Q60701683-30F0A181-463F-4E6E-B66D-06FECD7EC694 wds:Q60712846-1BE698D3-BB87-4E64-8D69-43FC3E5D71BE wds:Q59708293-846FAB33-D7F7-4FEA-829C-EE8C982B55FE wds:Q63790195-FF00E1CE-E305-4A2E-903D-ABA7DC37AE3B wds:Q98564771-FF261173-BCAB-4356-A86B-28999FA5D1F8 wds:Q60712845-877DD966-1A1D-4515-ACF4-DF8B4297E8DE wds:Q63790196-49BA3CDD-CA53-4DC7-96DD-D558410B5A7E wds:Q90812898-92ED34F0-1690-4023-84BF-86AF30D1C872 wds:Q100512336-DDB3B6D5-FA5B-4B69-B2E1-41FB31A02670 wds:Q97882263-10125AC0-8524-4AFB-AB0F-9A76E6AED21E

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