Peer-reviewed

FoodBase corpus: a new resource of annotated food entities

Gorjan Popovski, Barbara Koroušić Seljak & Tome Eftimov (2019) in Database: The journal of biological databases & curation
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Trends in the Use of Low and No-Calorie Sweeteners in Non-Alcoholic Beverages in Slovenia

Edvina Hafner, Maša Hribar, Hristo Hristov, Anita Kušar, Katja Žmitek, Mark Roe, Igor Pravst (2021) in Foods. 
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FoodEx2vec: New foods’ representation for advanced food data analysis

Eftimov, Tome, Popovski, Gorjan, Valenčič, Eva, Koroušić Seljak, Barbara (2020) in Food and Chemical Technology
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A Survey of Named-Entity Recognition Methods for Food Information Extraction

Popovski, Gorjan, Koroušić Seljak, Barbara, Eftimov, Tome (2020) IEEE Xplore.
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COVID-19 pandemic changes the food consumption patterns

EFTIMOV, Tome, POPOVSKI, Gorjan, PETKOVIĆ, Matej, KOROUŠIĆ-SELJAK, Barbara, KOCEV, Dragi (2020) in Trends in food science & technology
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FoodViz: visualization of food entities linked across different standards

Stojanov, R., Popovski, G., Jofce, N., Trajanov, D., Koroušić Seljak, B., Eftimov, T. in Lecture notes in computer science, vol.LNCS 12566
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Diets, nutrients, genes and the microbiome: Recent advances in personalised nutrition

Matusheski, N., Mezgec, S., Koroušić Seljak, B., et al.
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Exploring Knowledge Domain Bias on a Prediction Task for Food and Nutrition Data

Ispirova, G., Eftimov, T., & Seljak, B. K. (2020) in IEEE Xplore
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Improving pesticide uptake modeling into potatoes: Considering tuber growth dynamics

Xiao, S., Y. Gong, Z. Li, Fantke, P. (2021) in Journal of Agricultural and Food Chemistry
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Applications of Wild Isolates of Saccharomyces Yeast for Industrial Fermentation: The Gut of Social Insects as Niche for Yeast Hybrids’ Production

Di Paola, M., Meriggi, N., & Cavalieri, D (2020) in Frontiers in Microbiology
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Deliverables (Public only)

Posters & Presentations

The food nutrition security cloud in Europe

2020| |5th IMEKOFOODS – online
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Open data in the context of FNS-Cloud and METROFOOD-RI

2020 | 5th IMEKOFOODS | online
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Toward improved semantic annotation of food and nutrition data

2020 | 23rd International Multiconference Information Society – Data mining and Data Warehouses
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Exploring a standardized language for describing foods using embedding techniques

2020 | IEEE Big Data 2029 | Atlanta – US
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Using deep learning for food and beverage image recognition

2019 | IEEE Big Data 2029 | Los Angeles – US
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Food Nutrition Security Cloud: Standardisation & Interoperability Changes

2019 | IEEE Big Data 2029 | Los Angeles – US
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FoodIE: A Rule-based Named-entity Recognition Method for Food Information Extraction

2019 | Proc. 2019 ICPRAM |Prague – CZ
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Food Nutrition Security Cloud (FNS-Cloud) has received funding from the European Union’s Horizon 2020 Research and Innovation programme (H2020-EU.3.2.2.3. – A sustainable and competitive agri-food industry) under Grant Agreement No. 863059. Information and views set out across this website are those of the Consortium and do not necessarily reflect the official opinion or position of the European Union. Neither European Union institutions and bodies nor any person acting on their behalf may be held responsible for the use that may be made of the information contained herein.

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