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Christoph-Alexander Holst
Christoph-Alexander Holst
inIT, Institute Industrial IT, TH OWL
Verified email at th-owl.de - Homepage
Title
Cited by
Cited by
Year
An approach to automated fusion system design and adaptation
A Fritze, U Mönks, CA Holst, V Lohweg
Sensors 17 (3), 601, 2017
162017
A redundancy metric set within possibility theory for multi-sensor systems
CA Holst, V Lohweg
Sensors 21 (7), 2508, 2021
92021
Feature fusion to increase the robustness of machine learners in industrial environments
CA Holst, V Lohweg
at-Automatisierungstechnik 67 (10), 853-865, 2019
62019
Improving majority-guided fuzzy information fusion for Industry 4.0 condition monitoring
CA Holst, V Lohweg
2019 22th International Conference on Information Fusion (FUSION), 1-8, 2019
62019
A conflict-based drift detection and adaptation approach for multisensor information fusion
CA Holst, V Lohweg
2018 IEEE 23rd International Conference on Emerging Technologies and Factory …, 2018
52018
A redundancy metric based on the framework of possibility theory for technical systems
CA Holst, V Lohweg
2020 25th IEEE International Conference on Emerging Technologies and Factory …, 2020
42020
Lamb wave-based quality inspection of repaired carbon fibre reinforced polymers for on-site aircraft maintenance
CA Holst, V Lohweg, K Röckemann, A Steinmetz
2019 24th IEEE International Conference on Emerging Technologies and Factory …, 2019
42019
Designing possibilistic information fusion—The importance of associativity, consistency, and redundancy
CA Holst, V Lohweg
Metrology 2 (2), 180-215, 2022
32022
Distributed self-organisation of information fusion systems
CA Holst, U Mönks, V Lohweg
2017 22nd IEEE International Conference on Emerging Technologies and Factory …, 2017
12017
Conflict-based Feature Selection for Information Fusion Systems
CA Holst, U Mönks, V Lohweg, F Hoffmann, E Hüllermeier, R Mikut
PROCEEDINGS 27. WORKSHOP COMPUTATIONAL INTELLIGENCE, 279, 2017
12017
Robust Training with Adversarial Examples on Industrial Data
J Knaup, CA Holst, V Lohweg
Proceedings-33. Workshop Computational Intelligence: Berlin, 23.-24 …, 2023
2023
Scarce Data in Intelligent Technical Systems: Causes, Characteristics, and Implications
CA Holst, V Lohweg
Sci 4 (4), 49, 2022
2022
Spatial Control in Model-Based Neural Style Transfer
J Bültemeier, CA Holst, V Lohweg
PROCEEDINGS 32. WORKSHOP COMPUTATIONAL INTELLIGENCE 1, 213, 2022
2022
ITS. ML: Intelligente Technische Systeme der nächsten Generation durch Maschinelles Lernen: Schlussbericht: Forschungsvorhaben zur automatisierten Analyse von Daten mittels …
B Hammer, E Hüllermeier, V Lohweg, A Schneider, W Schenck, U Kuhl, ...
Universität Bielefeld, 2022
2022
Designing Possibilistic Information Fusion—The Importance of Associativity, Consistency, and Redundancy. Metrology 2022, 2, 180–215
CA Holst, V Lohweg
Measurement Uncertainty, 121, 2022
2022
Schlussbericht ITS. ML: Intelligente Technische Systeme der nächsten Generation durch Maschinelles Lernen. Forschungsvorhaben zur automatisierten Analyse von Daten mittels …
B Hammer, E Hüllermeier, V Lohweg, A Schneider, W Schenck, U Kuhl, ...
2022
Lamb wave-based Cure Monitoring of Carbon Fibre Reinforced Polymers for On-site Aircraft Repairs
CA Holst, V Lohweg, K Röckemann, A Steinmetz
2019 IEEE 5th International forum on Research and Technology for Society and …, 2019
2019
Supporting sensor orchestration in non-stationary environments
CA Holst, V Lohweg
Proceedings of the 15th ACM International Conference on Computing Frontiers …, 2018
2018
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