Incorporating Crowdsourced Annotator Distributions into Ensemble Modeling to Improve Classification Trustworthiness for Ancient Greek Papyri
Performing classification on noisy, crowdsourced image datasets can prove challenging even for the best neural networks. Two issues which complicate the problem on such datasets are class imbalance and ground-truth uncertainty in labeling. The AL-ALL and AL-PUB datasets - consisting of tightly cropp...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nicolas Turenne
2024-02-01
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| Series: | Journal of Data Mining and Digital Humanities |
| Subjects: | |
| Online Access: | https://jdmdh.episciences.org/10297/pdf |