Record link: 
http://hdl.handle.net/20.500.12708/193815
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Title: 
Feature engineering to improve classification in LIBS
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Citation: 
Gajarska, Z., Brunnbauer, L., Lohninger, J., & Limbeck, A. (2023). Feature engineering to improve classification in LIBS. In M. Marchetti-Deschmann, E. E. Rosenberg, & V. Weiss (Eds.), ANAKON 2023: Book of Abstracts (pp. 439–439). TU Wien.
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Publication Type: 
Inproceedings - Abstract Book Contribution
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Language: 
English
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Authors: 
Gajarska, Zuzana 
Brunnbauer, Lukas 
Lohninger, Johann 
Limbeck, Andreas 
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Organisational Unit: 
E164-01-2 - Forschungsgruppe Oberflächen-, Spurenanalytik und Chemometrie 
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Published in: 
ANAKON 2023: Book of Abstracts 
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ISBN: 
978-3-200-09056-9
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Date (published): 
11-Apr-2023
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Event name: 
ANAKON 2023 
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Event date: 
11-Apr-2023 - 14-Apr-2023
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Event place: 
Wien, Austria
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Number of Pages: 
1
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Publisher: 
TU Wien, Vienna
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Keywords: 
LIBS; classification; chemometrics; machine learning
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Research Areas: 
Materials Characterization: 100%
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Science Branch: 
1040 - Chemie: 100%
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Appears in Collections:
Conference Paper

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