Improving classification performance of extreme gradient boosting on small-sized dataset to classify Turkish and Italian wines along with elemental profiling by inductively coupled plasma-mass spectrometry-Reference-Cited by-同舟云学术

Improving classification performance of extreme gradient boosting on small-sized dataset to classify Turkish and Italian wines along with elemental profiling by inductively coupled plasma-mass spectrometry

Published:2021-12-03 Issue: Volume: Page:1-12
ISSN:0038-7010
Container-title:Spectroscopy Letters
language:en
Short-container-title:Spectroscopy Letters

Author:

Alp Hande¹,Alp Orkun²

Affiliation:

1. Department of Applied Data Science, TED University, Ankara, Turkey

2. Analytical Chemistry Department, Faculty of Pharmacy, Gazi University, Ankara, Turkey

Publisher

Informa UK Limited

Subject

Spectroscopy,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/00387010.2021.2008977

Reference41 articles.

1. An overview of analytical methods for determining the geographical origin of food products

2. Classification of Croatian wine varieties using multivariate analysis of data obtained by high resolution ICP-MS analysis

3. The multi-element determination and regional discrimination of Australian wines

4. Multivariate optimization of an analytical method for the analysis of Abruzzo white wines by ICP OES

5. Multi-elemental analysis as a tool for characterization and differentiation of Portuguese wines according to their Protected Geographical Indication

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