Nadine Kuhnert
Nadine Kuhnert, M. Sc.
Researcher
Department of Computer Science
Chair of Computer Science 5 (Pattern Recognition)
- Mobile phone: +491733292379
- Email: nadine.kuhnert@fau.de
- Website: https://lme.tf.fau.de/person/kuhnert/
Academic CV
- Since 08/2016:
Researcher at Pattern Recognition Lab, FAU Erlangen-Nuremberg - Since 10/2009:
Student at Pattern Recognition Lab, FAU Erlangen-Nuremberg
Research topics
- Log File Parsing
- Natural Language Processing
- Hardware Failure Prediction
Publications
2022
Journal Articles
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FlexParser—The adaptive log file parser for continuous results in a changing world
In: Journal of Software: Evolution and Process 34 (2022), p. e2426
ISSN: 2047-7481
DOI: 10.1002/smr.2426
URL: https://onlinelibrary.wiley.com/doi/epdf/10.1002/smr.2426
BibTeX: Download
2021
Journal Articles
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Hardware Failure Prediction on Imbalanced Times Series Data: Generation of Artificial Data Using Gaussian Process and Applying LSTMFCN to Predict Broken Hardware
In: Journal of Digital Imaging (2021)
ISSN: 0897-1889
DOI: 10.1007/s10278-020-00411-4
BibTeX: Download
2020
Journal Articles
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With Semantics and Hidden Markov Models to an Adaptive Log File Parser
In: International Journal on Natural Language Computing (2020)
ISSN: 2319-4111
BibTeX: Download
Conference Contributions
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Prediction of MRI Hardware Failures based on Image Features using Ensemble Learning
Bildverarbeitung für die Medizin 2020 (Berlin, March 15, 2020 - March 17, 2020)
BibTeX: Download - , , :
Prediction of MRI Hardware Failures based on Image Features using Time Series Classification
Bildverarbeitung für die Medizin (Berlin, March 15, 2020 - March 17, 2020)
BibTeX: Download
2019
Conference Contributions
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Flexible Log File Parsing Using Hidden Markov Models
BibTeX: Download - , , , :
Image-based Detection of MRI Hardware Failures
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2018
Book Contributions
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Classification of body regions based on MRI log files
In: Marek Kurzynski, Michal Wozniak, Robert Burduk (ed.): Proceedings of the 10th International Conference on Computer Recognition Systems, CORES 2017, Springer Verlag, 2018, p. 102-109 (Advances in Intelligent Systems and Computing, Vol.578)
DOI: 10.1007/978-3-319-59162-9_11
BibTeX: Download
Conference Contributions
- , , :
Classification of Body Regions Based on MRI Log Files
Conference on Computer Recognition Systems CORES 2017 (Polanica-Zdrój, Poland, May 22, 2017 - May 24, 2017)
In: Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017, Switzerland: 2018
DOI: 10.1007/978-3-319-59162-9
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Kuhnert18-COB.pdf
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2017
Conference Contributions
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Reduction of metal artifacts using a new segmentation approach: Extension of graph cuts for a more precise segmentation used in metal artifact reduction
Workshops on Image processing for the medicine, 2016 (Berlin, DEU, March 13, 2016 - March 15, 2016)
In: Thomas M. Deserno, Heinz Handels, Thomas Tolxdorff, Hans-Peter Meinzer (ed.): Informatik aktuell 2017
DOI: 10.1007/978-3-662-49465-3_18
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2016
Conference Contributions
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Reduction of Metal Artifacts using a New Segmentation Approach
Bildverarbeitung für die Medizin
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2013
Conference Contributions
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Real-time Simulation of Human Vision using Temporal Compositing with CUDA on the GPU
Proceedings 25th Workshop on Parallel Systems and Algorithms (PARS 2013) (Erlangen, Germany)
In: Proceedings 25th Workshop on Parallel Systems and Algorithms (PARS 2013) 2013
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