3 citations · 3 across the 6 of their papers we have counts for
7 papers
Why Ranking Anomaly Detection Algorithms Isn't as Reliable as You May Think
Simon Klüttermann, Jérôme Rutinowski, Frederik Polachowski +1
Anomaly detection is a safety-critical machine learning problem with applications ranging from fraud detection to network intrusion prevention and industrial monitoring. Despite th…
Why Districting Becomes NP-hard
Niklas Jost, Adolfo Escobedo, Alice Kirchheim
This paper investigates why and when the edge-based districting problem becomes computationally intractable. The overall problem is represented as an exact mathematical programming…
MR6D: Benchmarking 6D Pose Estimation for Mobile Robots
Anas Gouda, Shrutarv Awasthi, Christian Blesing +3
Existing 6D pose estimation datasets primarily focus on small household objects typically handled by robot arm manipulators, limiting their relevance to mobile robotics. Mobile pla…
Enhancing Long-Term Re-Identification Robustness Using Synthetic Data: A Comparative Analysis
Christian Pionzewski, Rebecca Rademacher, Jérôme Rutinowski +5
This contribution explores the impact of synthetic training data usage and the prediction of material wear and aging in the context of re-identification. Different experimental set…
Extremely asymmetric diffraction as a method of determining magneto-optical constants for X-rays near absorption edges
M A Andreeva, Yu. Repchenko, A G Smekhova +3
The spectral dependence of the Bragg peak position under conditions of extremely asymmetric diffraction has been analyzed in the kinematical and dynamical approximations of the dif…
Learning Embeddings with Centroid Triplet Loss for Object Identification in Robotic Grasping
Anas Gouda, Max Schwarz, Christopher Reining +2
Foundation models are a strong trend in deep learning and computer vision. These models serve as a base for applications as they require minor or no further fine-tuning by develope…
Comparing statistical and machine learning methods for time series forecasting in data-driven logistics -- A simulation study
Lena Schmid, Moritz Roidl, Markus Pauly
Many planning and decision activities in logistics and supply chain management are based on forecasts of multiple time dependent factors. Therefore, the quality of planning depends…