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Multi-way data modelling for enhancing classification performance: Fluorescence data as a case of study | Synapse
March 3, 2026
Multi-way data modelling for enhancing classification performance: Fluorescence data as a case of study
JZ
Jorgelina Zaldarriaga-Heredia
Universidad Nacional de La Pampa
AM
Antonella E. Montemerlo
Universidad Nacional de La Pampa
JC
José M. Camiña
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Key Points
Enhanced classification performance was achieved, particularly noted with fluorescence data.
A strong algorithmic approach was utilized for capturing complex data structures in multi-way analysis.
Employing advanced data modelling techniques improves prediction accuracy compared to traditional methods.
This highlights the need for more robust techniques in data analysis for better outcomes in classification tasks.
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Zaldarriaga-Heredia et al. (Tue,) studied this question.
synapsesocial.com/papers/69a75af9c6e9836116a217e9
https://doi.org/https://doi.org/10.1016/j.aca.2026.345159