IEEE

Classifying Routine Clinical Electroencephalograms With Multivariate Iterative Filtering and Convolutional Neural Networks

Abstract: Electroencephalogram (EEG) is widely used in basic and clinical neuroscience to explore neural states in various populations, and classifying these EEG recordings is a fundamental challenge.
IEEE

Receptive Field Aware Contrastive Learning for Multivariate Time Series Classification

Abstract: Multivariate Time Series (MTS) classification is a critical yet challenging task in the field of data mining. Recently, Graph Neural Networks (GNNs) have emerged as powerful tools for this ...