Continuous statistical modelling for rapid detection of adulteration of extra virgin olive oil using mid infrared and Raman spectroscopic data K Georgouli, JM Del Rincon, A Koidis Food Chemistry 217, 735-742, 2017 | 62 | 2017 |
Comparison between proton transfer reaction mass spectrometry and near infrared spectroscopy for the authentication of Brazilian coffee: A preliminary chemometric study PI Monteiro, JS Santos, VRA Brizola, CTP Deolindo, A Koot, ... Food Control 91, 276-283, 2018 | 12 | 2018 |
Incremental model learning for spectroscopy-based food analysis K Diaz-Chito, K Georgouli, A Koidis, JM del Rincon Chemometrics and Intelligent Laboratory Systems 167, 123-131, 2017 | 8 | 2017 |
Data augmentation in food science: Synthesising spectroscopic data of vegetable oils for performance enhancement K Georgouli, MT Osorio, J Martinez Del Rincon, A Koidis Journal of Chemometrics 32 (6), e3004, 2018 | 5 | 2018 |
Continuous statistical modelling in characterisation of complex hydrocolloid mixtures using near infrared spectroscopy K Georgouli, B Carrasco, D Vincke, JM Del Rincon, A Koidis, V Baeten, ... Chemometrics and Intelligent Laboratory Systems 196, 103910, 2020 | 1 | 2020 |
Incremental model learning for spectroscopy-based food analysis K Diaz, K Georgouli, A Koidis, J Martinez Del Rincon | | 2017 |
multivariate analysis K Georgouli, D Vincke, B Carrasco, J Martinez del Rincon, ... | | 2016 |
BUILDING GENERIC, EASILY-UPDATABLE CHEMOMETRIC MODELS WITH HARMONISATION AND AUGMENTATION FEATURES: THE CASE OF FTIR VEGETABLE OILS CLASSIFICATION K Georgouli, K Diaz-Chito, J Martinez-del Rincon, A Koidis | | |