IEEE

Bridge Graph Attention Based Graph Convolution Network With Multi-Scale Transformer for EEG Emotion Recognition

Abstract: In multichannel electroencephalograph (EEG) emotion recognition, most graph-based studies employ shallow graph model for spatial characteristics learning due to node over-smoothing caused by ...
GitHub

Summary of the eight computational reproducibility assessments conducted as part of STARS Work Package 1.

In work package 1, we assessed the computational reproducibility of eight discrete-event simulation papers with models in Python and R. The reproductions and findings ...
IEEE

GCVC: Graph Convolution Vector Distribution Calibration for Fish Group Activity Recognition

Abstract: Only a few key fish individuals can play a dominant role in actual fish group, therefore, it is reasonable to infer group activities from the relationship between individual actions. However ...
GitHub

Stroke capacity planning model: python DES RAP

This repository is an example accompanying the DES RAP Book — an open educational resource on reproducible discrete-event simulation (DES) in Python and R. The book demonstrates best practices for ...