Environmental monitoring is a topic of increasing interest, especially concerning the matter
of natural hazards prediction. Regarding volcanic unrest, effective methodologies along with …

Volcanoes produce a wide variety of seismic signals originating from a number of
mechanisms, ranging from the complex interaction between multiphase fluids and their …

In this work, we present the development, description, and performance evaluation of two
volcano seismological datasets: one containing raw seismic signals (MicSigV1) and another …

Geophysics experts are interested in understanding the behavior of volcanoes and
forecasting possible eruptions by monitoring and detecting the increment on volcano …

This paper proposes an exhaustive evaluation of five different filter-based feature selection
methods in combination with a Gaussian mixture model classifier for the classification of …

Class imbalances have been reported to compromise the performance of most standard
classifiers, such as Naive Bayes, Decision Trees and Neural Networks. Aiming to solve this …

Distinguishing among the different seismic volcanic patterns is still one of the most important
and labor-intensive tasks for volcano monitoring. This task could be lightened and made free …

Cotopaxi Volcano showed an increased activity since April 2015 and evolved into its
eventual mild eruption in August 2015. In this work we use records from a broadband …

Accurately identifying and labeling seismic events is essential for understanding the internal
dynamics of volcanoes and predicting volcanic eruptions. However, the manual labeling of …

Classifying seismic signals into their corresponding types of volcanic earthquakes is among
the most important tasks for monitoring volcano activity. Such a duty must be routinely …