A new open-access study reports that fusing attribute features with graph structure and training classifiers collaboratively ...
Dr. James McCaffrey of Microsoft Research: When multi-class data is skewed toward one or more classes, it's very important to analyze accuracy by class. A multi-class classification problem is one ...
A four-head self-attention module raised cross-validated EEG workload classification accuracy from 80.73% to 91.33% during ...