Exploring Important Features in Continuous Spectral Datasets Using Supervised Learning

Journal:

Analytical Chemistry

Published:

2026-05-20

DOI:

10.1021/acs.analchem.6c00048

Affiliations:

9

Authors:

10

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Institutions	Authors	Share
La Trobe University, Australia	4.583333	0.46
CSIRO Manufacturing, Australia	3.000000	0.30
Royal Melbourne Institute of Technology (RMIT University), Australia	0.750000	0.08
BioNTech, Germany	0.500000	0.05
Monash University, Australia	0.333333	0.03
The University of Nottingham (UoN), United Kingdom (UK)	0.333333	0.03
St Vincent's Hospital Melbourne, Australia	0.250000	0.03
Aikenhead Centre for Medical Discovery (ACMD), Australia	0.250000	0.03

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