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Mathias Anneken
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2020 – today
- 2023
- [b1]Mathias Anneken:
Anomaliedetektion in räumlich-zeitlichen Datensätzen. Karlsruhe Institute of Technology, Germany, 2023 - 2022
- [j1]Manjunatha Veerappa
, Mathias Anneken
, Nadia Burkart
, Marco F. Huber
:
Validation of XAI explanations for multivariate time series classification in the maritime domain. J. Comput. Sci. 58: 101539 (2022) - 2020
- [c6]Manjunatha Veerappa
, Mathias Anneken
, Nadia Burkart:
Evaluation of Interpretable Association Rule Mining Methods on Time-Series in the Maritime Domain. ICPR Workshops (3) 2020: 204-218 - [c5]Mathias Anneken
, Sebastian Markgraf, Sebastian Robert, Jürgen Beyerer:
Learning of Utility Functions for the Behaviour Analysis in Maritime Surveillance Tasks. Modellierung (Companion) 2020: 130-143 - [c4]Nadia Burkart, Marco F. Huber
, Mathias Anneken
:
Supported Decision-Making by Explainable Predictions of Ship Trajectories. SOCO 2020: 44-54
2010 – 2019
- 2018
- [c3]Manuel Martin, Johannes Popp, Mathias Anneken
, Michael Voit, Rainer Stiefelhagen:
Body Pose and Context Information for Driver Secondary Task Detection. Intelligent Vehicles Symposium 2018: 2015-2021 - 2017
- [c2]Mathias Anneken
, Yvonne Fischer, Jürgen Beyerer:
A Multi-agent Approach to Model and Analyze the Behavior of Vessels in the Maritime Domain. ICAART (1) 2017: 200-207 - 2016
- [c1]Mathias Anneken
, Yvonne Fischer, Jürgen Beyerer:
Anomaly Detection using B-spline Control Points as Feature Space in Annotated Trajectory Data from the Maritime Domain. ICAART (2) 2016: 250-257
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last updated on 2024-04-24 23:21 CEST by the dblp team
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