Carmen Benı́tez

Continuous Active Learning for Seismo-Volcanic Monitoring

2021 · IEEE Geoscience and Remote Sensing Letters

Deep learning has advanced seismo-volcanic monitoring to unprecedented performance levels. Nevertheless, seismic data labeling still requires substantial annotation efforts, often delayed in time if the eruptive state alters the data conditions. The selective segmentation of …

Classification & Clustering of Volcano-Seismic Events Using Supervised and Unsupervised Methods

2023

This study looks into unsupervised and supervised methods for classifying and clustering volcano-seismic time series data. Due to the resource intensive labelling process required to understand volcano-seismic signals it is important to explore unsupervised analysis …