Abstract: Multi-label classification (MLC) is crucial as it allows for a more nuanced and realistic representation of complex real-world scenarios, where instances may belong to multiple categories ...

Abstract: With the development of machine learning, feature selection has become a crucial step to improve model performance and interpretability. However, traditional feature selection methods often ...

This manuscript presents important findings that challenge traditional models of speech processing by demonstrating that theta-gamma phase-amplitude coupling in the auditory cortex is primarily a ...