Abstract: In recent years, optimizing classification pipelines has become increasingly critical due to the growing volume of textual data and the computational challenges associated with exhaustive ...
Stearns and Poletti present a technically impressive study that aims to uncover a deeper understanding of microsaccade function: their role in perceptual modulation and the associated temporal ...
An efficient neural screening approach rapidly identifies circuit modules governing distinct behavioral transitions in ...
Abstract: News text classification is crucial for efficient information acquisition and dissemination. While deep learning models, such as BERT and BiGRU, excel in accuracy for text classification, ...
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