research
∙
03/10/2023
Deep Anomaly Detection on Tennessee Eastman Process Data
This paper provides the first comprehensive evaluation and analysis of m...
share
research
∙
01/23/2023
Ordinal Regression for Difficulty Estimation of StepMania Levels
StepMania is a popular open-source clone of a rhythm-based video game. A...
research
∙
05/23/2022
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images
Traditionally anomaly detection (AD) is treated as an unsupervised probl...
research
∙
12/08/2021
Trainability for Universal GNNs Through Surgical Randomness
Message passing neural networks (MPNN) have provable limitations, which ...
research
∙
07/03/2020
Explainable Deep One-Class Classification
Deep one-class classification variants for anomaly detection learn a map...
research
∙
05/30/2020
