Automated classification of MESSENGER plasma observations via unsupervised transfer learning
Our methodology demonstrates a proof of concept of the applicability of transfer learning for heliophysics, a machine learning technique where knowledge learned from one task is reused to perform a similar unsupervised learning task with additional fine tuning. We applied an unsupervised clustering...
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| Main Authors: | Vicki Toy-Edens, Wenli Mo, Robert C. Allen, Sarah K. Vines, Savvas Raptis |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-07-01
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| Series: | Frontiers in Astronomy and Space Sciences |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fspas.2025.1608091/full |
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