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arXiv Machine Learning By Wei Quan, Denise Gorse

Spatiotemporal Seismic Hazard Assessment Using VQ-VAE and Seismic Statistical Features

Read the original on arXiv Machine Learning →

arXiv:2606. 10069v1 Announce Type: new Abstract: In this paper we build upon a previous study in which we demonstrated, using XGBoost and earthquake catalogue data from Japan and Chile, that a set of 60 seismic statistical features (SSFs) had much greater predictive value than a set of 428 generic time series features from the tsfresh package.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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