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Raghav Soni; Daniel Harnack; Hannah Isermann; Sotaro Fushimi; Shivesh Kumar; Frank Kirchner

End-to-End Reinforcement Learning for Torque Based Variable Height Hopping

In: 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE/RSJ International Conference on Intelligent Robots and …
Atanas Poibrenski; Farzad Nozarian; Farzaneh Rezaeianaran; Christian Müller

Uncertainty-aware pseudo labels for domain adaptation in pedestrian trajectory prediction

In: IEEE ITSC-2023. IEEE Intelligent Transportation Systems Conference (IEEE ITSC-2023), September 24-28, Bilbao, Spain, IEEExplore, 2023.
Antonio Kruger Mansi Sharma

Unraveling the Connection: How Cognitive Workload Shapes Intent Recognition in Robot-Assisted Surgery

In: 2023 IEEE Conference on Systems, Man, and Cybernetics. IEEE International Conference on Systems, Man, and Cybernetics (SMC), October 1-4, Oahu, …
Konstantin Kuznetsov; Michael Barz; Daniel Sonntag

Detection of Contract Cheating in Pen-and-Paper Exams through the Analysis of Handwriting Style

In: Companion Publication of the 25th International Conference on Multimodal Interaction. ACM International Conference on Multimodal Interaction …
Maciej Szelążek; Dan Hudson; Szymon Bobek; Grzegorz J. Nalepa; Martin Atzmueller

Enhanced Explanations for Knowledge-Augmented Clustering using Subgroup Discovery

In: 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA). International Conference on Data Science and Advanced …
Stefan Bloemheuvel; Jurgen van den Hoogen; Martin Atzmueller

Graph construction on complex spatiotemporal data for enhancing graph neural network-based approaches

In: International Journal of Data Science and Analytics, Pages 1-18, Springer, 2023.
Jurgen van den Hoogen; Dan Hudson; Stefan Bloemheuvel; Martin Atzmueller

Hyperparameter analysis of wide-kernel CNN architectures in industrial fault detection: an exploratory study

In: International Journal of Data Science and Analytics, Pages 1-22, Springer, 2023.
Eric Lanfer; Sophia Sylvester; Nils Aschenbruck; Martin Atzmueller

Leveraging Explainable AI Methods Towards Identifying Classification Issues on IDS Datasets

In: Eyuphan Bulut; Florian Tschorsch; Kanchana Thilakarathna (Hrsg.). Proceedings of the 48th IEEE Conference on Local Computer Networks - LCN 2023. …
Martin Ben Ahmed; Niklas Wilming; Martin Atzmueller

Graph Neural Network-Based Measurement Inference on Irregular Sensor Geometries

In: 2023 IEEE 21st International Conference on Industrial Informatics (INDIN). IEEE International Conference on Industrial Informatics (INDIN), Pages …
Felix Gerschner; Jonas Paul; Lukas Schmid; Nico Barthel; Victor Gouromichos; Florian Schmid; Martin Atzmueller; Andreas Theissler

Domain Transfer for Surface Defect Detection using Few-Shot Learning on Scarce Data

In: 2023 IEEE 21st International Conference on Industrial Informatics (INDIN). IEEE International Conference on Industrial Informatics (INDIN), Pages …

Publikationen

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Aktive Filter:

End-to-End Reinforcement Learning for Torque Based Variable Height Hopping

Uncertainty-aware pseudo labels for domain adaptation in pedestrian trajectory prediction

Unraveling the Connection: How Cognitive Workload Shapes Intent Recognition in Robot-Assisted Surgery

Detection of Contract Cheating in Pen-and-Paper Exams through the Analysis of Handwriting Style

Enhanced Explanations for Knowledge-Augmented Clustering using Subgroup Discovery

Graph construction on complex spatiotemporal data for enhancing graph neural network-based approaches

Hyperparameter analysis of wide-kernel CNN architectures in industrial fault detection: an exploratory study

Leveraging Explainable AI Methods Towards Identifying Classification Issues on IDS Datasets

Graph Neural Network-Based Measurement Inference on Irregular Sensor Geometries

Domain Transfer for Surface Defect Detection using Few-Shot Learning on Scarce Data

Jahr