Data augmentation in food science: Synthesising spectroscopic data of vegetable oils for performance enhancement

Author:

Georgouli Konstantia1ORCID,Osorio Maria Teresa1,Martinez Del Rincon Jesus2,Koidis Anastasios1ORCID

Affiliation:

1. Institute for Global Food Security; Queen's University Belfast; Belfast Northern Ireland UK

2. Institute of Electronics, Communications and Information Technology; Queen's University Belfast; Belfast Northern Ireland UK

Funder

The Department Learning and Employment Northern Ireland (DELNI)

Department of Environment, Food and Rural Affairs (DEFRA) of the UK

Publisher

Wiley

Subject

Applied Mathematics,Analytical Chemistry

Reference55 articles.

1. Small sample size effects in statistical pattern recognition: recommendations for practitioners;Raudys;IEEE Trans Pattern Anal Mach Intell,1991

2. Continuous statistical modelling for rapid detection of adulteration of extra virgin olive oil using mid infrared and raman spectroscopic data;Georgouli;Food Chem,2017

3. Supervised pattern recognition in food analysis;Berrueta;J Chromatogr A,2007

4. Artificial neural networks in foodstuff analyses: trends and perspectives a review;Marini;Anal Chim Acta,2009

5. Very deep convolutional networks for large-scale image recognition;Simonyan;arXiv preprint arXiv:1409.1556,2014

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