Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Mathias Anneken
Observed name:
Anneken, Mathias
Institutions:
Hensoldt (Germany),
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation
Observed institutions:
Karlsruhe Institute of Technology,
Hensoldt (Germany),
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation,
Fraunhofer-Gesellschaft,
Mid Sweden University
ORCID:
0000-0002-8434-0082
Observed ORCID:
0000-0002-8434-0082
OpenAlex ID:
A5015914033
Body Pose and Context Information for Driver Secondary Task Detection
2018
·
Manuel Martin
, Johannes Popp
, et al.
·
IEEE Intelligent Vehicles Symposium
·
57
Validation of XAI explanations for multivariate time series classification in the maritime domain
2021
·
Manjunatha Veerappa
, Mathias Anneken
, et al.
·
Journal of Computational Science
·
51
Evaluation and comparison of anomaly detection algorithms in annotated datasets from the maritime domain
2015
·
Mathias Anneken
, Yvonne Fischer
, et al.
·
SAI Intelligent Systems Conference
·
33
Active balancing control for distributed battery systems based on cooperative game theory
2023
·
Maurice Caspar
, Tobias Schürmann
, et al.
·
Journal of Energy Storage
·
7
Evaluation of Interpretable Association Rule Mining Methods on Time-Series in the Maritime Domain
2021
·
Manjunatha Veerappa
, Mathias Anneken
, et al.
·
Lecture notes in computer science
·
7
Supported Decision-Making by Explainable Predictions of Ship Trajectories
2020
·
Nadia Burkart
, Marco F. Huber
, et al.
·
Advances in intelligent systems and computing
·
7
Ethical Considerations for the Military Use of Artificial Intelligence in Visual Reconnaissance
2025
·
Anneken, Mathias
, Burkart, Nadia
, et al.
·
arXiv (Cornell University)
·
6
PDF
Detecting illegal diving and other suspicious activities in the North Sea: Tale of a successful trial
2019
·
Mathias Anneken
, Francesca de Rosa
, et al.
·
International Radar Symposium
·
5
Synthetic Trajectory Extraction for Maritime Anomaly Detection
2018
·
Mathias Anneken
, Anne-Laure Jousselme
, et al.
·
International Conference on Computational Science and Computational Intelligence (CSCI)
·
5
Anomaly Detection using B-spline Control Points as Feature Space in Annotated Trajectory Data from the Maritime Domain
2016
·
Mathias Anneken
, Yvonne Fischer
, et al.
·
International Conference on Agents and Artificial Intelligence (ICAART)
·
5
SAQnet: Experiences from the design of an air pollution monitoring system based on off-the-shelf equipment
2011
·
Sebastian Bader
, Mathias Anneken
, et al.
·
International Conference on Intelligent Sensors, Sensor Networks and Information Processing
·
5
A Multi-agent Approach to Model and Analyze the Behavior of Vessels in the Maritime Domain
2017
·
Mathias Anneken
, Yvonne Fischer
, et al.
·
International Conference on Agents and Artificial Intelligence (ICAART)
·
4
AI-ARC Baltic Demo: Detecting Illegal Activities at Sea
2024
·
Pontus Svenson
, Anders Holst
, et al.
·
International Conference on Information Fusion (FUSION)
·
3
Explainable AI for sensor-based sorting systems
2023
·
Mathias Anneken
, Manjunatha Veerappa
, et al.
·
tm - Technisches Messen
·
3
Explaining CNN classifier using association rule mining methods on time-series
2023
·
Manjunatha Veerappa
, Mathias Anneken
, et al.
·
Elsevier eBooks
·
3
2024 27th International Conference on Information Fusion (FUSION)
2025
·
Svenson, Pontus
, Holst, Anders
, et al.
·
UTUPub (University of Turku)
PDF
List of contributors
2023
·
Kamila Abdiyeva
, Narendra Ahuja
, et al.
·
Elsevier eBooks
Learning of utility functions for the behaviour analysis in maritime surveillance tasks
2020
·
Anneken, Mathias
, Markgraf, Sebastian
, et al.
·
Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)
A Behaviour Model as Extension for the Object-Oriented World Model
2019
·
Anneken, Mathias
·
Repository KITopen (Karlsruhe Institute of Technology)
Anomaly detection using the Nash equilibrium in a multi-agent system : Technical Report IES-2016-03
2017
·
Mathias Anneken
Quantitative Assessment of Anomaly Detection Algorithms in Annotated Datasets from the Maritime Domain
2016
·
Mathias Anneken
, Yvonne Fischer
, et al.
·
Studies in computational intelligence
Show more works
View as search
Works count:
31
Citation count:
204
H-index:
6
I10-index:
3
Year
Topic
Type