activity
20142024
most citedOn Event-Driven Knowledge Graph Completion in Digital Factories

32 citations · 39 across the 7 of their papers we have counts for

collaborators

8 papers

math.CO2024

-local Graphs

Christian Beth, Pamela Fleischmann, Annika Huch +4

In 2017 Day et al. introduced the notion of locality as a structural complexity-measure for patterns in the field of pattern matching established by Angluin in 1980. In 2019 Casel…

cs.LG2023★ 1 cited

GADformer: A Transparent Transformer Model for Group Anomaly Detection on Trajectories

Andreas Lohrer, Darpan Malik, Claudius Zelenka +1

Group Anomaly Detection (GAD) identifies unusual pattern in groups where individual members might not be anomalous. This task is of major importance across multiple disciplines, in…

cs.LG2022★ 4 cited

CoMadOut -- A Robust Outlier Detection Algorithm based on CoMAD

Andreas Lohrer, Daniyal Kazempour, Maximilian Hünemörder +1

Unsupervised learning methods are well established in the area of anomaly detection and achieve state of the art performances on outlier datasets. Outliers play a significant role,…

cs.LG2022★ 1 cited

Enhancing cluster analysis via topological manifold learning

Moritz Herrmann, Daniyal Kazempour, Fabian Scheipl +1

We discuss topological aspects of cluster analysis and show that inferring the topological structure of a dataset before clustering it can considerably enhance cluster detection: t…

cs.LG2021★ 32 cited

On Event-Driven Knowledge Graph Completion in Digital Factories

Martin Ringsquandl, Evgeny Kharlamov, Daria Stepanova +4

Smart factories are equipped with machines that can sense their manufacturing environments, interact with each other, and control production processes. Smooth operation of such fac…

cs.DB2020

Memory-Efficient RkNN Retrieval by Nonlinear k-Distance Approximation

Sandra Obermeier, Max Berrendorf, Peer Kröger

The reverse k-nearest neighbor (RkNN) query is an established query type with various applications reaching from identifying highly influential objects over incrementally updating…

cs.DB2020★ 1 cited

Complete and Sufficient Spatial Domination of Multidimensional Rectangles

Tobias Emrich, Hans-Peter Kriegel, Andreas Züfle +2

Rectangles are used to approximate objects, or sets of objects, in a plethora of applications, systems and index structures. Many tasks, such as nearest neighbor search and similar…

cs.CV2014

Minimizing the Number of Matching Queries for Object Retrieval

Johannes Niedermayer, Peer Kröger

To increase the computational efficiency of interest-point based object retrieval, researchers have put remarkable research efforts into improving the efficiency of kNN-based featu…