Abstract: Optimization-based meta-learning methods for few-shot one-class classification (FS-OCC) aim to fine-tune a meta-trained model to classify the positive and negative samples using only a few ...

Abstract: Drawing insights from Large Language Models, researchers have developed several large-scale Electroencephalogram (EEG) models (LEMs) to learn a generalized representation adaptable to ...