Fearn, Tom;
(2025)
Chemometrics is more than algorithms.
In:
Proceedings of the 21st International Conference on Near Infrared Spectroscopy: ICNIR 2023.
(pp. pp. 75-77).
Springer Cham
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Abstract
As ever more sophisticated calibration algorithms become the focus of interest, we must not lose sight of the fact that getting good spectra on a well-chosen training set as well as validating properly and understanding why the calibration works are at least as important as the choice of algorithm to a successful outcome. The AI-driven automated systems for NIR calibration that will soon become available need to take these factors into account and not simply focus on algorithms.
| Type: | Proceedings paper |
|---|---|
| Title: | Chemometrics is more than algorithms |
| Event: | 21st International Conference on Near Infrared Spectroscopy |
| Location: | Innsbruck Austria |
| ISBN: | 978-3-031-84793-6 |
| ISBN-13: | 978-3-031-84794-3 |
| DOI: | 10.1007/978-3-031-84794-3_6 |
| Publisher version: | https://doi.org/10.1007/978-3-031-84794-3_6 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10216220 |
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