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Alexander Jungmann
Alexander Jungmann
C-LAB, University of Paderborn
Bestätigte E-Mail-Adresse bei c-lab.de
Titel
Zitiert von
Zitiert von
Jahr
Automated online service composition
F Mohr, A Jungmann, HK Büning
2015 IEEE International Conference on Services Computing, 57-64, 2015
162015
An approach towards adaptive service composition in markets of composed services
A Jungmann, F Mohr
Journal of Internet Services and Applications 6, 1-18, 2015
122015
Learning service recommendations
A Jungmann, B Kleinjohann, L Kleinjohann
International Journal of Business Process Integration and Management 10 6 (4 …, 2013
122013
Cooperative Driving in Mixed Traffic with Heterogeneous Communications and Cloud Infrastructure.
R Auerswald, R Busse, M Dod, R Fritzsche, A Jungmann, ...
VEHITS, 95-105, 2019
112019
IVS-KOM: A reference platform for heterogeneous ITS communications
R Jacob, M Gay, M Dod, S Lorenz, A Jungmann, L Franke, M Philipp, ...
2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall), 1-7, 2020
102020
Automatic composition of service-based image processing applications
A Jungmann, B Kleinjohann
2016 IEEE International Conference on Services Computing (SCC), 106-113, 2016
102016
Miniature robot BeBot: Mechatronic test platform for self-x properties
J Gausemeier, T Schierbaum, R Dumitrescu, S Herbrechtsmeier, ...
2011 9th IEEE International Conference on Industrial Informatics, 451-456, 2011
102011
Towards the application of reinforcement learning techniques for quality-based service selection in automated service composition
A Jungmann, B Kleinjohann
2012 IEEE Ninth International Conference on Services Computing, 701-702, 2012
92012
Increasing learning speed by imitation in multi-robot societies
A Jungmann, B Kleinjohann, W Richert
Organic Computing—A Paradigm Shift for Complex Systems, 295-307, 2011
92011
Towards a flexible and privacy-preserving reputation system for markets of composed services
S Brangewitz, A Jungmann, R Petrlic, MC Platenius
Proceedings of the 6th International Conferences on Advanced Service …, 2014
82014
Combining automatic service composition with adaptive service recommendation for dynamic markets of services
A Jungmann, F Mohr, B Kleinjohann
2014 IEEE World Congress on Services, 346-353, 2014
62014
Learning recommendation system for automated service composition
A Jungmann, B Kleinjohann
2013 IEEE International Conference on Services Computing, 97-104, 2013
62013
Towards situation-aware decision-making for automated driving
M Gerwien, A Jungmann, R Voßwinkel
2021 7th International Conference on Automation, Robotics and Applications …, 2021
52021
Artificial intelligence for automated driving–quo vadis?
A Jungmann, C Lang, F Pinsker, R Kallweit, M Taubenreuther, ...
Automatisiertes Fahren 2019: Von der Fahrerassistenz zum autonomen Fahren 5 …, 2020
52020
Applying reinforcement learning for resolving ambiguity in service composition
A Jungmann, F Mohr, B Kleinjohann
2014 IEEE 7th International Conference on Service-Oriented Computing and …, 2014
52014
Increasing motion information by using universal tracking of 2d-features
A Jungmann, C Stern, L Kleinjohann, B Kleinjohann
2010 8th IEEE International Conference on Industrial Informatics, 511-516, 2010
52010
Evaluation of color spaces for robust image segmentation
A Jungmann, J Jatzkowski, B Kleinjohann
2014 International Conference on Computer Vision Theory and Applications …, 2014
42014
Incorporating reputation information into decision-making processes in markets of composed services
A Jungmann, S Brangewitz, R Petrlic, MC Platenius
International Journal On Advances in Intelligent Systems 7 (4), 2014
42014
Efficient color-based image segmentation and feature classification for image processing in embedded systems
A Jungmann, B Kleinjohann, L Kleinjohann, M Bieshaar
Proceedings of the 4th International Conference on Resource Intensive …, 2012
42012
Combining service-oriented computing with embedded systems-a robotics case study
A Jungmann, J Jatzkowski, B Kleinjohann
System Level Design from HW/SW to Memory for Embedded Systems: 5th IFIP TC …, 2017
32017
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