Publications

This page lists the publications generated by the FNS-Cloud project. It is automatically generated from the FNS-Cloud Zenodo Community page. Search terms are based on key words, allowing users to filter and find articles more easily. Links redirect to open access sites or to Zenodo, depending on the publication. 

All

59 documents
  • Garranzo, Marco, Laguna Lobo, Teresa, Carrillo de Santa Pau, Enrique. (August, 2022). III BioinfoCAM abstract: Detection of food-drug interactions using natural language processing techniques in the context of FNS-Cloud project. Zenodo. https://doi.org/10.5281/zenodo.6958157
  • Emara, Yasmine, Koroušić Seljak, Barbara, Gibney, Eileen R., Popovski, Gorjan, Pravst, Igor, Fantke, Peter. (March, 2022). Workflow for building interoperable food and nutrition security (FNS) data platforms. Zenodo. https://doi.org/10.1016/j.tifs.2022.03.022
  • Popovski, Gorjan, Ispirova, Gordana, Hadzi-Kotarova, Nina, Valenčič, Eva, Eftimov, Tome, Seljak, Barbara. (February, 2020). Food Data Integration by using Heuristics based on Lexical and Semantic Similarities. Zenodo. https://doi.org/10.5220/0008990602080216
  • Ispirova, Gordana, Eftimov, Tome, Koroušić Seljak, Barbara. (December, 2020). Exploring Knowledge Domain Bias on a Prediction Task for Food and Nutrition Data. Zenodo. https://doi.org/10.1109/BigData50022.2020.9378159
  • Ispirova, Gordana, Eftimov, Tome, Koroušić Seljak, Barbara. (October, 2020). P-NUT: Predicting NUTrient Content from Short Text Descriptions. Zenodo. https://doi.org/10.3390/math8101811
  • Mezgec, Simon, Koroušić Seljak, Barbara. (March, 2021). Deep Neural Networks for Image-Based Dietary Assessment. Zenodo. https://doi.org/10.3791/61906
  • Matusheski, Nathan V, Caffrey, Aoife, Christensen, Lars, Mezgec, Simon, Surendran, Shelini, Hjorth, Mads F, McNulty, Helene, Pentieva, Kristina, Roager, Henrik M, Koroušić Seljak, Barbara, Santhanakrishnan Vimaleswaran, Karani, Remmers, Marcus, Péter, Szabolcs. (November, 2021). Diets, nutrients, genes and the microbiome: recent advances in personalised nutrition. Zenodo. https://doi.org/10.1017/S0007114521000374
  • Koroušić Seljak, Barbara, Mezgec, Simon. (December, 2019). Using Deep Learning for Food and Beverage Image Recognition. Zenodo. https://doi.org/10.1109/BigData47090.2019.9006181
  • Popovski, Gorjan, Koroušić Seljak, Barbara, Eftimov, Tome. (November, 2021). FoodBase corpus: a new resource of annotated food entities. Zenodo. https://doi.org/10.1093/database/baz121
  • Stojanov, Riste, Popovski, Gorjan, Jofce, Nasi, Trajanov, Dimitar, Koroušić Seljak, Barbara, Eftimov, Tome. (January, 2021). FoodViz: Visualization of Food Entities Linked Across Different Standards. Zenodo. https://doi.org/10.1007/978-3-030-64580-9_4

Lifelong Learning

2 documents

    Slovenia

    5 documents

      Food

      2 documents

        Food Supply

        3 documents

          Added Sugar

          2 documents

            Beverages

            2 documents

              Food Composition

              3 documents

                Data Mining

                2 documents

                  Database

                  3 documents

                    Code

                    1 documents

                      FFQ

                      1 documents

                        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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