2023
DOI: 10.1016/j.sab.2023.106776
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Statistical comparison of predictive models for quantitative analysis and classification in the framework of LIBS spectroscopy: A tutorial

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Cited by 3 publications
(2 citation statements)
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“…One of the recommendations is therefore, if permitted by the dataset, to use the widest possible test set. 66…”
Section: Methodsmentioning
confidence: 99%
“…One of the recommendations is therefore, if permitted by the dataset, to use the widest possible test set. 66…”
Section: Methodsmentioning
confidence: 99%
“…Reviews that cover detailed LIBS applications in imaging, classication, or quantitative analysis of different kinds of samples can be found elsewhere. Recent advances and future perspectives of LIBS imaging for material and biomedical applications were discussed by Gardette et al, 90 while novel methodologies and technological developments were summarised by Thomas et al 91 A tutorial describing in detail how to statistically compare predictive models for LIBS quantitative analysis and classication was published by Duponchel et al 92 Recent trends in sample classication using LIBS, providing a comprehensive introduction and overview of the steps to go from recorded data to a well-performing classier, was reviewed by Brunnbauer et al 93 The development of calibration-free LIBS (CF-LIBS) to improve accuracy in different applications was critically reviewed by Hermann et al 94 and Poggialini et al 95 In 2023 there were several international conferences dedicated to discuss the recent progress in LIBS, such as the 5th Asian Symposium on LIBS held in Tokushima (Japan) from June 26th to June 30th (https://j-libs.org/CSI2023_ASLIBS2023/ index.html), and the 12th Euro-Mediterranean Symposium on LIBS (EMSLIBS) held in Porto (Portugal) from September 4th to 7th (https://emslibs2023.inesctec.pt/).…”
Section: Laser Induced Breakdown Spectroscopymentioning
confidence: 99%