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This is the first study to integrate EEG and ERP data in a multimodal fashion using three feature sets, achieving a high accuracy of 91% with GRU‐based classification and indicates that the combination of multimodal features and deep learning can help improve the accuracy of depression diagnosis and develop effective a...
Sentiment analysis on social media data often suffers from severe class imbalance, which can negatively affect the performance of machine learning models. In this paper, we propose a framework that leverages large language models and lightweight transformer fine tuning to improve sentiment classification on imbalance...
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