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Variations in earthquake-size distribution across different stress regimes

Nature, 2005-09, Vol.437 (7058), p.539-542

2005

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Assessing Completeness of OpenStreetMap Building Footprints Using MapSwipe

ISPRS international journal of geo-information, 2023-04, Vol.12 (4), p.143

2023

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Calculating earthquake damage building by building: the case of the city of Cologne, Germany

Bulletin of earthquake engineering, 2022-02, Vol.20 (3), p.1519-1565

2022

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Universal Quake Statistics: From Compressed Nanocrystals to Earthquakes

Scientific reports, 2015-11, Vol.5 (1), p.16493-16493, Article 16493

2015

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The Collaboratory for the Study of Earthquake Predictability perspective on computational earthquake science

Concurrency and computation, 2010-08, Vol.22 (12), p.1836-1847

2010

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First Results of the Regional Earthquake Likelihood Models Experiment

Pure and applied geophysics, 2010-08, Vol.167 (8-9), p.859-876

2010

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Are regionally calibrated seismicity models more informative than global models? Insights from California, New Zealand, and Italy

The Seismic record, 2023-04, Vol.3 (2), p.86-95

2023

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Efficient testing of earthquake forecasting models

Acta geophysica, 2011-08, Vol.59 (4), p.728-747

2011

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Setting up an earthquake forecast experiment in Italy

Annals of geophysics, 2010-01, Vol.53 (3), p.1-9

2010

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QuakeML: status of the XML-based seismological data exchange format

Annals of geophysics, 2011-01, Vol.54 (1), p.59-65

2011

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Earth science Microseismicity data forecast rupture area

Nature, 2005-04, Vol.434 (7037), p.1086-1086

2005

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Prospective and retrospective evaluation of five-year earthquake forecast models for California

Geophysical journal international, 2017-10, Vol.211 (1), p.239-251

2017

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Asperity-based earthquake likelihood models for Italy

Annals of geophysics, 2010-01, Vol.53 (3), p.63-75

2010

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Common dependence on stress for the two fundamental laws of statistical seismology

Nature (London), 2009-12, Vol.462 (7273), p.642-645

2009

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Testing machine learning models for heuristic building damage assessment applied to the Italian Database of Observed Damage (DaDO)

Natural hazards and earth system sciences, 2023-10, Vol.23 (10), p.3199-3218

2023

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Testing machine learning models for seismic damage prediction at a regional scale using building-damage dataset compiled after the 2015 Gorkha Nepal earthquake

Earthquake spectra, 2022-11, Vol.38 (4), p.2970-2993

2022

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Erratum: Prospective and retrospective evaluation of five-year earthquake forecast models for California

Geophysical journal international, 2018-02, Vol.212 (2), p.1314-1314

2018

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Microseismicity data forecast rupture area

Nature (London), 2005-04, Vol.434 (7037), p.1086-1086

2005

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The influence of faulting style on the size-distribution of global earthquakes

Earth and planetary science letters, 2019-12, Vol.527, p.115791, Article 115791

2019

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Statistical power of spatial earthquake forecast tests

Geophysical journal international, 2023-06, Vol.233 (3), p.2053-2066

2023

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Towards improving the spatial testability of aftershock forecast models

Natural hazards and earth system sciences, 2023-07, Vol.23 (7), p.2683-2696

2023

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pyCSEP: A Python Toolkit For Earthquake Forecast Developers

Journal of open source software, 2022-01, Vol.7 (69), p.3658

2022

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Likelihood- and residual-based evaluation of medium-term earthquake forecast models for California

Geophysical journal international, 2014-09, Vol.198 (3), p.1307-1318

2014

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The ETAS model for daily forecasting of Italian seismicity in the CSEP experiment

Annals of geophysics, 2010-01, Vol.53 (3), p.155-164

2010

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Retrospective evaluation of the five-year and ten-year CSEP-Italy earthquake forecasts

Annals of geophysics, 2010-01, Vol.53 (3), p.11-30

2010

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Variations in earthquake-size distribution across different stress regimes

Assessing Completeness of OpenStreetMap Building Footprints Using MapSwipe

Calculating earthquake damage building by building: the case of the city of Cologne, Germany

Universal Quake Statistics: From Compressed Nanocrystals to Earthquakes

The Collaboratory for the Study of Earthquake Predictability perspective on computational earthquake science

First Results of the Regional Earthquake Likelihood Models Experiment

Are regionally calibrated seismicity models more informative than global models? Insights from California, New Zealand, and Italy

Efficient testing of earthquake forecasting models

Setting up an earthquake forecast experiment in Italy

QuakeML: status of the XML-based seismological data exchange format

Earth science Microseismicity data forecast rupture area

Prospective and retrospective evaluation of five-year earthquake forecast models for California

Asperity-based earthquake likelihood models for Italy

Common dependence on stress for the two fundamental laws of statistical seismology

Testing machine learning models for heuristic building damage assessment applied to the Italian Database of Observed Damage (DaDO)

Testing machine learning models for seismic damage prediction at a regional scale using building-damage dataset compiled after the 2015 Gorkha Nepal earthquake

Erratum: Prospective and retrospective evaluation of five-year earthquake forecast models for California

Microseismicity data forecast rupture area

The influence of faulting style on the size-distribution of global earthquakes

Statistical power of spatial earthquake forecast tests

Towards improving the spatial testability of aftershock forecast models

pyCSEP: A Python Toolkit For Earthquake Forecast Developers

Likelihood- and residual-based evaluation of medium-term earthquake forecast models for California

The ETAS model for daily forecasting of Italian seismicity in the CSEP experiment

Retrospective evaluation of the five-year and ten-year CSEP-Italy earthquake forecasts

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