4 papers
Finding One's Bearings in the Hyperparameter Landscape of a Wide-Kernel Convolutional Fault Detector
Dan Hudson, Jurgen van den Hoogen, Martin Atzmueller
State-of-the-art algorithms are reported to be almost perfect at distinguishing the vibrations arising from healthy and damaged machine bearings, according to benchmark datasets at…
Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation
Leonid Schwenke, Martin Atzmueller
With their increase in performance, neural network architectures also become more complex, necessitating explainability. Therefore, many new and improved methods are currently emer…
Knowledge-Augmented Explainable and Interpretable Learning for Anomaly Detection and Diagnosis
Martin Atzmueller, Tim Bohne, Patricia Windler
Knowledge-augmented learning enables the combination of knowledge-based and data-driven approaches. For anomaly detection and diagnosis, understandability is typically an important…
Online Knowledge Integration for 3D Semantic Mapping: A Survey
Felix Igelbrink, Marian Renz, Martin Günther +5
Semantic mapping is a key component of robots operating in and interacting with objects in structured environments. Traditionally, geometric and knowledge representations within a…