1 citations · 1 across the 5 of their papers we have counts for
5 papers
Global Prevalence of Anti-similar Earthquakes at Intermediate Depth
Albert Leonardo Aguilar Suarez, Gregory Beroza, William Ellsworth +2
Anti-similar earthquakes, those with nearly identical but flipped waveforms, remain an uncommon observation. We document three locations where these events occur at intermediate de…
Enhanced Seismicity Monitoring in the Rapid Scientific Response to the 2025 Santorini Crisis
Margarita Segou, Foteini Dervisi, Xing Tan +20
We used a deep learning workflow to enhance earthquake detection during the 2025 seismic unrest between Santorini and Amorgos islands to track the evolution of the crisis in near r…
Variability in Performance of a Machine-Learning Seismicity Catalog: Central Italy, 2016-2017
Jaehong Chung, Yifan Yu, Lauro Chiaraluce +2
Machine learning (ML) catalogs contain many more earthquakes than routine catalogs, but their performance in phase picking and earthquake detection has not been fully evaluated. We…
Pervasive Label Errors in Seismological Machine Learning Datasets
Albert Leonardo Aguilar Suarez, Gregory Beroza
The recent boom in artificial intelligence and machine learning has been powered by large datasets with accurate labels, combined with algorithmic advances and efficient computing.…
Double Difference Earthquake Location with Graph Neural Networks
Ian W. McBrearty, Gregory C. Beroza
Double difference earthquake relocation is an essential component of many earthquake catalog development workflows. This technique produces high-resolution relative relocations bet…