AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Quantifying Cross-Lingual Sentiment Prediction Difference in Bilingual Pop-Culture Reviews via Dual Monolingual Transformers and Jensen-Shannon Divergence
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...
Comparative Evaluation of TabKANet with Oversampling and Feature Selection Ablation for Software Defect Prediction
TabKANet is a competitive architecture for all-numerical, highly imbalanced SDP, matching strong neural baselines and surpassing TabNet, where effective class weighting alone suffices and SMOTE is counter-productive.