activity
20192021
most citedAcoustic Leak Detection in Water Networks

18 citations · 33 across the 4 of their papers we have counts for

collaborators

8 papers

cs.LG202118 cited

Acoustic Leak Detection in Water Networks

Robert Müller, Steffen Illium, Fabian Ritz +4

In this work, we present a general procedure for acoustic leak detection in water networks that satisfies multiple real-world constraints such as energy efficiency and ease of depl…

cs.SD202015 cited

Analysis of Feature Representations for Anomalous Sound Detection

Robert Müller, Steffen Illium, Fabian Ritz +1

In this work, we thoroughly evaluate the efficacy of pretrained neural networks as feature extractors for anomalous sound detection. In doing so, we leverage the knowledge that is…

eess.AS2020

Surgical Mask Detection with Convolutional Neural Networks and Data Augmentations on Spectrograms

Steffen Illium, Robert Müller, Andreas Sedlmeier +1

In many fields of research, labeled datasets are hard to acquire. This is where data augmentation promises to overcome the lack of training data in the context of neural network en…

eess.AS2020

Acoustic Anomaly Detection for Machine Sounds based on Image Transfer Learning

Robert Müller, Fabian Ritz, Steffen Illium +1

In industrial applications, the early detection of malfunctioning factory machinery is crucial. In this paper, we consider acoustic malfunction detection via transfer learning. Con…

cs.LG2020

Policy Entropy for Out-of-Distribution Classification

Andreas Sedlmeier, Robert Müller, Steffen Illium +1

One critical prerequisite for the deployment of reinforcement learning systems in the real world is the ability to reliably detect situations on which the agent was not trained. Su…

cs.LG2020

Trajectory annotation using sequences of spatial perception

Sebastian Feld, Steffen Illium, Andreas Sedlmeier +1

In the near future, more and more machines will perform tasks in the vicinity of human spaces or support them directly in their spatially bound activities. In order to simplify the…