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An Investigation of Rapid Earthquake Characterization Using Single‐Station Waveforms and a Convolutional Neural Network

Seismological research letters, 2019-03, Vol.90 (2A), p.517-529

2019

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SPARX, a MIMO Array for Ground-Based Radar Interferometry

Sensors (Basel, Switzerland), 2019-01, Vol.19 (2), p.252

2019

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Temporal Coherence Estimators for GBSAR

Remote sensing (Basel, Switzerland), 2022-07, Vol.14 (13), p.3039

2022

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Tsunami early warning using earthquake rupture duration and P-wave dominant period: the importance of length and depth of faulting

Geophysical journal international, 2011-04, Vol.185 (1), p.283-291

2011

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Local earthquakes detection: A benchmark dataset of 3-component seismograms built on a global scale

Artificial intelligence in geosciences, 2020-12, Vol.1, p.1-10

2020

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Tsunami early warning using earthquake rupture duration

Geophysical research letters, 2009-05, Vol.36 (9), p.L09306-n/a

2009

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Regression analysis of MCS intensity and ground motion parameters in Italy and its application in ShakeMap

Geophysical journal international, 2010-03, Vol.180 (3), p.1138-1152

2010

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ShakeDaDO: A data collection combining earthquake building damage and ShakeMap parameters for Italy

Artificial intelligence in geosciences, 2020-12, Vol.1, p.36-51

2020

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Effects on a Deep-Learning, Seismic Arrival-Time Picker of Domain-Knowledge Based Preprocessing of Input Seismograms

Seismica, 2024-06, Vol.3 (1)

2024

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The ShakeMaps of the Amatrice, M6, earthquake

Annals of geophysics, 2016-01, Vol.59

2016

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Adjoint tomography of the Italian lithosphere

Communications earth & environment, 2022-12, Vol.3 (1), p.1-12, Article 69

2022

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The Choice of Time–Frequency Representations of Non-Stationary Signals Affects Machine Learning Model Accuracy: A Case Study on Earthquake Detection from LEN-DB Data

Mathematics (Basel), 2022-03, Vol.10 (6), p.965

2022

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New reversible relationships between ground motion parameters and macroseismic intensity for Italy and their application in ShakeMap

Geophysical journal international, 2022-07, Vol.231 (2), p.1117-1137

2022

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Blurring/Clutter Mitigation in Quarry Monitoring by Ground-Based Synthetic Aperture Radar

IEEE transactions on geoscience and remote sensing, 2021-11, Vol.59 (11), p.9282-9289

2021

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Regression analysis of MCS intensity and ground motion spectral accelerations (SAs) in Italy

Geophysical journal international, 2011-09, Vol.186 (3), p.1415-1430

2011

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Rapid prediction of earthquake ground shaking intensity using raw waveform data and a convolutional neural network

Geophysical journal international, 2020-08, Vol.222 (2), p.1379-1389

2020

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M wpd : a duration-amplitude procedure for rapid determination of earthquake magnitude and tsunamigenic potential from P waveforms

Geophysical journal international, 2009-01, Vol.176 (1), p.200-214

2009

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Mwpd: A duration–amplitude procedure for rapid determination of earthquake magnitude and tsunamigenic potential from P waveforms

Geophysical journal international, 2009-01, Vol.176 (1), p.200-214

2009

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INGV data lifecycle management system performances during Mw 6.0 2016 Amatrice earthquake sequence

Annals of geophysics, 2016-01, Vol.59

2016

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Tsunami Early Warning Within Five Minutes

Pure and applied geophysics, 2013-09, Vol.170 (9-10), p.1385-1395

2013

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The New ShakeMap in Italy: Progress and Advances in the Last 10 Yr

Seismological research letters, 2020-01, Vol.91 (1), p.317-333

2020

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INGe: Intensity-ground motion data set for Italy

Annals of geophysics, 2022-03, Vol.65 (1), p.DM102

2022

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Erratum: Rapid prediction of earthquake ground shaking intensity using raw waveform data and a convolutional neural network

Geophysical journal international, 2021-05, Vol.226 (2), p.1249-1249

2021

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Intra-domain and cross-domain transfer learning for time series data—How transferable are the features?

Knowledge-based systems, 2022-03, Vol.239, p.107976, Article 107976

2022

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Continuous Kurtosis-Based Migration for Seismic Event Detection and Location, with Application to Piton de la Fournaise Volcano, La Reunion

Bulletin of the Seismological Society of America, 2014-02, Vol.104 (1), p.229-246

2014

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An Investigation of Rapid Earthquake Characterization Using Single‐Station Waveforms and a Convolutional Neural Network

SPARX, a MIMO Array for Ground-Based Radar Interferometry

Temporal Coherence Estimators for GBSAR

Tsunami early warning using earthquake rupture duration and P-wave dominant period: the importance of length and depth of faulting

Local earthquakes detection: A benchmark dataset of 3-component seismograms built on a global scale

Tsunami early warning using earthquake rupture duration

Regression analysis of MCS intensity and ground motion parameters in Italy and its application in ShakeMap

ShakeDaDO: A data collection combining earthquake building damage and ShakeMap parameters for Italy

Effects on a Deep-Learning, Seismic Arrival-Time Picker of Domain-Knowledge Based Preprocessing of Input Seismograms

The ShakeMaps of the Amatrice, M6, earthquake

Adjoint tomography of the Italian lithosphere

The Choice of Time–Frequency Representations of Non-Stationary Signals Affects Machine Learning Model Accuracy: A Case Study on Earthquake Detection from LEN-DB Data

New reversible relationships between ground motion parameters and macroseismic intensity for Italy and their application in ShakeMap

Blurring/Clutter Mitigation in Quarry Monitoring by Ground-Based Synthetic Aperture Radar

Regression analysis of MCS intensity and ground motion spectral accelerations (SAs) in Italy

Rapid prediction of earthquake ground shaking intensity using raw waveform data and a convolutional neural network

M wpd : a duration-amplitude procedure for rapid determination of earthquake magnitude and tsunamigenic potential from P waveforms

Mwpd: A duration–amplitude procedure for rapid determination of earthquake magnitude and tsunamigenic potential from P waveforms

INGV data lifecycle management system performances during Mw 6.0 2016 Amatrice earthquake sequence

Tsunami Early Warning Within Five Minutes

The New ShakeMap in Italy: Progress and Advances in the Last 10 Yr

INGe: Intensity-ground motion data set for Italy

Erratum: Rapid prediction of earthquake ground shaking intensity using raw waveform data and a convolutional neural network

Intra-domain and cross-domain transfer learning for time series data—How transferable are the features?

Continuous Kurtosis-Based Migration for Seismic Event Detection and Location, with Application to Piton de la Fournaise Volcano, La Reunion

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