@inproceedings{45a010f91f65445d9ba9f3e357f6cf3c,
title = "Two-Step Volcano Seismic Event Classification Using Metaheuristic Feature Selection and Machine Learning",
abstract = "Early detection of volcanic seismic events is critical for disaster mitigation. In this paper, we propose a twostep classification method that combines metaheuristic feature selection and machine learning. Using the SeisBenchV1 dataset (75 \% - 25\% split with stratified k-fold), a genetic algorithm with chi-square optimization and a neural network achieved the best performance: 0.790 F1-Score and 0.979 ROC-AUC using only 23 features. The results demonstrate the potential of the method for real-time volcanic monitoring.",
keywords = "Feature Selection, Fitness Functions, Metaheuristics, Volcanic Seismic Events",
author = "Randall Mencias and Diego Ben{\'i}tez and Noel P{\'e}rez-P{\'e}rez and Fabricio Y{\'e}pez and Marco Herrera and Oscar Camacho",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 IEEE Colombian Caribbean Conference, C3 2025 ; Conference date: 17-09-2025 Through 20-09-2025",
year = "2025",
doi = "10.1109/C366505.2025.11340203",
language = "Ingl{\'e}s",
series = "C3 2025 - IEEE Colombian Caribbean Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Gomez, \{Yesica Beltran\} and Mendoza, \{Paul Sanmartin\}",
booktitle = "C3 2025 - IEEE Colombian Caribbean Conference",
}