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Machine Learning of Raman Spectroscopic Data: Comparison of Different Validation Strategies

  • University of Applied Sciences Wiener Neustadt
  • Paris Lodron University of Salzburg
  • IMC University of Applied Sciences Krems
  • Ludwig Boltzmann Institute
  • Palacký University Olomouc

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)867-877
Number of pages11
JournalJournal of Raman Spectroscopy
Volume56
Issue number9
DOIs
Publication statusPublished - Jan 2025

Keywords

  • biological SERS datasets
  • cross–validation strategies
  • machine learning classifiers
  • overfitting
  • spectral quality control

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