1 citations · 1 across the 3 of their papers we have counts for
3 papers
Deep Anomaly Detection on Tennessee Eastman Process Data
Fabian Hartung, Billy Joe Franks, Tobias Michels +15
This paper provides the first comprehensive evaluation and analysis of modern (deep-learning) unsupervised anomaly detection methods for chemical process data. We focus on the Tenn…
Ordinal Regression for Difficulty Estimation of StepMania Levels
Billy Joe Franks, Benjamin Dinkelmann, Sophie Fellenz +1
StepMania is a popular open-source clone of a rhythm-based video game. As is common in popular games, there is a large number of community-designed levels. It is often difficult fo…
A systematic approach to random data augmentation on graph neural networks
Billy Joe Franks, Markus Anders, Marius Kloft +1
Random data augmentations (RDAs) are state of the art regarding practical graph neural networks that are provably universal. There is great diversity regarding terminology, methodo…