Publication:
Artificial Intelligence and Machine Learning Tools for Improving Early Warning Systems of Volcanic Eruptions: The Case of Stromboli
| dc.contributor.author | Longo, Roberto | |
| dc.contributor.author | Lacanna, Giorgio | |
| dc.contributor.author | Innocenti, Lorenzo | |
| dc.contributor.author | Ripepe, Maurizio | |
| dc.contributor.imecauthor | Longo, Roberto | |
| dc.contributor.orcidimec | Longo, Roberto::0000-0003-0506-2617 | |
| dc.date.accessioned | 2025-06-11T12:43:41Z | |
| dc.date.available | 2024-12-09T16:40:20Z | |
| dc.date.available | 2025-06-11T12:43:41Z | |
| dc.date.issued | 2024 | |
| dc.description.wosFundingText | This work was supported in part by the developed in the framework of the cooperation agreement for the enhancement of the service activity "Sviluppo del sistema unico (INGV-Universita) di monitoraggio vulcanico e rilevamento precoce dei maremoti e delle esplosioni parossistiche di Stromboli" and in part by the Italian Civil Protection and the INGV. The work of Roberto Longo was supported by the ANR-19-CE04-0011-01 MONIDAS (Natural Hazard Monitoring using Distributed Acoustic Sensing) Project. Recommended for acceptance by J. Han. | |
| dc.identifier.doi | 10.1109/TPAMI.2024.3399689 | |
| dc.identifier.issn | 0162-8828 | |
| dc.identifier.pmid | MEDLINE:38728129 | |
| dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/44962 | |
| dc.publisher | IEEE COMPUTER SOC | |
| dc.source.beginpage | 7973 | |
| dc.source.endpage | 7982 | |
| dc.source.issue | 12 | |
| dc.source.journal | IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | |
| dc.source.numberofpages | 10 | |
| dc.source.volume | 46 | |
| dc.title | Artificial Intelligence and Machine Learning Tools for Improving Early Warning Systems of Volcanic Eruptions: The Case of Stromboli | |
| dc.type | Journal article | |
| dspace.entity.type | Publication | |
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