Learning from the Rare: Overcoming Class Imbalance in Archaeological Object Detection with Boosting Methods
Detecting surface potsherds using low-altitude remote sensing is challenging due to severe class imbalance and limited training data. This study develops and validates a semi-automatic detection methodology that adapts threshold-optimized boosting classifiers (AdaBoost, XGBoost) to maximize ceramic...
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| Huvudupphov: | , , , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Utgiven: |
MDPI AG
2026-03-01
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| Serie: | Heritage |
| Ämnen: | |
| Länkar: | https://www.mdpi.com/2571-9408/9/3/99 |
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