Abstract: Scatterplots are widely used across various domains to identify anomalies in datasets, particularly in multi-class settings, such as detecting misclassified or mislabeled data. However, ...

Abstract: Hypergraphs provide a natural way to represent polyadic relationships in network data. For large hypergraphs, it is often difficult to visually detect structures within the data. Recently, a ...

We want to define a set of lightweight metrics that SDKs can automatically collect for e.g. framework, language or platform, focusing only on signals that do NOT overlap with Tracing. Ideally these ...

This project uses UV for dependency management. Krippendorff's alpha is more meaningful for larger data samples, however low agreement can still be a sign of labeling issue. The code requires at least ...