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From global to local : fine-tuning of earthquake AI detection methods with Costa Rican seismic data for improved phase detection performance

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dc.contributor.authorGamboa-Chacón, Sebastián
dc.contributor.authorCampos Salas, Nahomy
dc.contributor.authorChaves, Esteban J.
dc.contributor.authorMeneses, Esteban
dc.date.accessioned2026-07-21T14:47:37Z
dc.date.available2026-07-21T14:47:37Z
dc.date.issued2026
dc.identifier.doi10.1109/BIP68491.2025.11489131
dc.identifier.urihttps://hdl.handle.net/20.500.12337/11795
dc.language.isoen_US
dc.publisher2025 IEEE 7th International Conference on BioInspired Processing (BIP)
dc.relationhttps://doi.org/10.1109/BIP68491.2025.11489131
dc.rightsacceso abierto
dc.source2025 IEEE 7th International Conference on BioInspired Processing (BIP), Pérez Zeledón, Costa Rica, 2025, pp. 1-6
dc.subjectREDES DE SENSORES INALÁMBRICOS
dc.subjectAPRENDIZAJE PROFUNDO
dc.subjectAPRENDIZAJE POR TRANSFERENCIA
dc.titleFrom global to local : fine-tuning of earthquake AI detection methods with Costa Rican seismic data for improved phase detection performance
dc.typeartículo de investigación

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