Universal machine learning approach to volcanic eruption forecasting using seismic features

dc.contributor.author	Rey Devesa, Pablo
dc.contributor.author	Carthy, Joe
dc.contributor.author	Prudencio, Janire
dc.contributor.author	Titos Luzón, Manuel Marcelino
dc.contributor.author	Prudencio Soñora, Janire
dc.contributor.author	Ibáñez, Jesús M.
dc.contributor.author	Benítez, Carmen
dc.date.accessioned	2024-07-26T11:28:47Z
dc.date.available	2024-07-26T11:28:47Z
dc.date.issued	2024-06-26
dc.identifier.citation	Rey Devesa, P. et. al. Front. Earth Sci. 12:1342468. [https://doi.org/10.3389/feart.2024.1342468]	es_ES
dc.identifier.uri	https://hdl.handle.net/10481/93524
dc.description.sponsorship	Spanish Project PID2022-143083NB-I00, “LEARNING”, funded by MICIU/AEI /10.13039/501100011033	es_ES
dc.description.sponsorship	FEDER, UE	es_ES
dc.description.sponsorship	projects PROOF-FOREVER (EUR2022.134044), ALARM (C.EXP. 022.UGR23) and IMPROVE	es_ES
dc.description.sponsorship	Project: PLEC2022-009271 “DigiVolCa”	es_ES
dc.description.sponsorship	MCIN/AEI/10.13039/501100011033 and by EU «NextGenerationEU/PRTR», 10.13039/501100011033	es_ES
dc.language.iso	eng	es_ES
dc.publisher	Frontiers	es_ES
dc.rights	Atribución 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/	*
dc.title	Universal machine learning approach to volcanic eruption forecasting using seismic features	es_ES
dc.type	journal article	es_ES
dc.relation.projectID	info:eu-repo/grantAgreement/EU/PRTR/501100011033	es_ES
dc.rights.accessRights	open access	es_ES
dc.identifier.doi	10.3389/feart.2024.1342468
dc.type.hasVersion	VoR	es_ES

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