1 citations · 2 across the 6 of their papers we have counts for
6 papers
PHEATPRUNER: Interpretable Data-centric Feature Selection for Multivariate Time Series Classification through Persistent Homology
Anh-Duy Pham, Olivier Basole Kashongwe, Martin Atzmueller +1
Balancing performance and interpretability in multivariate time series classification is a significant challenge due to data complexity and high dimensionality. This paper introduc…
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…
Simplicial complexes in network intrusion profiling
Mandala von Westenholz, Martin Atzmueller, Tim Römer
For studying intrusion detection data we consider data points referring to individual IP addresses and their connections: We build networks associated with those data points, such…
Link Prediction and the Role of Stronger Ties in Networks of Face-to-Face Proximity
Christoph Scholz, Martin Atzmueller, Gerd Stumme
Understanding the structures why links are formed is an important and prominent research topic. In this paper, we therefore consider the link prediction problem in face-to-face con…