Artificial Neural Networks as Emerging Tools for Earthquake Detection Otilio Rojas 1,2 , Beatriz Otero 3 , Leonardo Alvarado 4,2 , Sergi Mus 3 , Rubén Tous 3 1 Barcelona Supercomputing Center (BSC), Barcelona, Spain 2 Universidad Central de Venezuela (UCV), Caracas, Venezuela 3 Universitat Polit ´ecnica de Catalunya (UPC), Barcelona, Spain 4 Fundación Venezolana de Investigaciones Sismológicas (Funvisis), Caracas, Venezuela Publicado en: Computación y Sistemas, Vol. 23, No. 2, 2019, pp. 335–350 Abstract . As seismic networks continue to spread and monitoring sensors become more efficient, the abundance of data highly surpasses the processing capabilities of earthquake interpretation analysts. Earthquake catalogs are fundamental for fault system studies, event modellings, seismic hazard assessment, forecasting, and ultimately, for mitigating the Seismic risk. These have fueled the research for the automation of interpretation tasks such as event...