AN IMPROVED SELF-SUPERVISED LEARNING FOR EEG CLASSIFICATION

An improved self-supervised learning for EEG classification

Motor Imagery EEG (MI-EEG) classification plays Wrap an important role in different Brain-Computer Interface (BCI) systems.Recently, deep learning has been widely used in the MI-EEG classification tasks, however this technology requires a large number of labeled training samples which are difficult to obtain, and insufficient labeled training sampl

read more

Deep Pixel-Level Matching via Attention for Video Co-Segmentation

In video object co-segmentation, methods based on patch-level matching are widely leveraged to 8 Piece Outdoor Modular Seating extract the similarity between video frames.However, these methods can easily lead to pixel misclassification because they reduce the precision of pixel localization; thus, the accuracies of the segmentation results of thes

read more


Cine e Historia en las aulas: una aproximación a la incorporación y significación del recurso en las escuelas de concepción del Uruguay

This paper represents an exploratory approach on the characteristics that shows the inclu-sion of films as a teaching resource in history classes and the representations about it both teachers and students involved in the educational action.Specifically, we worked on the last year of Pump Bearing End Cap oriented Secondary Education in schools of C

read more