Researchers have developed a new method -- 'Pixel Approximate Entropy' -- that measures the complexity of a data visualization and can be used to develop easier to read visualizations. 'In fast-paced ...

Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...

The Norman Police Department found an unlikely ally to help it process raw data, the University of Oklahoma’s Computer Science Department. The OU School of Computer Science has worked alongside the ...