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Machine translation has been widely used to support cross-lingual sentiment analysis when labeled data in the target language are limited. However, differences in linguistic representation between the source text and its translation may affect the probabilistic outputs of sentiment classification models. This study inv...
It is demonstrated that integrating image augmentation and class weighting within the ResNet50-CBAM framework effectively mitigates class imbalance and improves the reliability of automated pneumonia classification.
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