Browsing Institute of Food Technology by Subject "Automated machine learning"

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Auto-ML GC/MS fingerprinting strategy for cereal flour authentication

Pastor, Kristian; Ilić, Nebojša; Kojić, Jovana; Nastić, Nataša; Krulj, Jelena; Ačanski, Marijana (2022)

Despite food authentication being a global challenge since decades, not much work has been done in developing authentication methodologies of cereal flours and bakery products. This research represents an innovative and ...
Classification of cereal flour by gas ghromatography – mass spectrometry (GC-MS) liposoluble fingerprints and automated machine learning

Pastor, Kristian; Ilić, Marko; Kojić, Jovana; Ačanski, Marijana; Vujić, Đura (Taylor & Francis, 2022)

An innovative and rapid approach is described for classifying common types of gluten and non-gluten cereal flour (wheat, rye, triticale, barley, oats, and corn) into the groups defined by their botanical origin. Liposoluble ...

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