Do more with less: Exploring semi-supervised learning for geological image classification
Labelled datasets within geoscience can often be small, with data acquisition both costly and challenging, and their interpretation and downstream use in machine learning difficult due to data scarcity. Deep learning algorithms require large datasets to learn a robust relationship between the data a...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-02-01
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| Series: | Applied Computing and Geosciences |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590197424000636 |
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