Bernhard Schlegel
According to our database1,
Bernhard Schlegel
authored at least 4 papers
between 2016 and 2022.
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Bibliography
2022
Quality-aware scheduling of on-board and off-board data analysis in vehicle development.
Proceedings of the 5th IEEE International Conference on Industrial Cyber-Physical Systems, 2022
2019
Off-board car diagnostics based on heterogeneous, highly imbalanced and high-dimensional data using machine learning techniques.
PhD thesis, 2019
2017
Dealing with Class Imbalance the Scalable Way: Evaluation of Various Techniques Based on Classification Grade and Computational Complexity.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017
2016
Design and optimization of an autonomous feature selection pipeline for high dimensional, heterogeneous feature spaces.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016