Food Nutrition Security Cloud

Informations projet

FNS-Cloud

N° de convention de subvention: 863059

DOI 10.3030/863059

Projet clôturé

Date de signature de la CE 12 Septembre 2019

Date de début 1 Octobre 2019

Date de fin 30 Septembre 2023

Financé au titre de

• SOCIETAL CHALLENGES - Food security, sustainable agriculture and forestry, marine, maritime and inland water research, and the bioeconomy

Coût total € 11 008 132,67

Contribution de l’UE € 10 189 549,91

Coordonné par

RTDS - VEREIN ZUR FORDERUNG DER KOMMUNIKATION UND VERMITTLUNG VON FORSCHUNG, TECHNOLOGIE UND INNOVATION (RTDS VEREIN, ENGL. RTDS ASSOCIATION)
Austria

Livrables

Documents, reports (2)

D8.1 FNS-Cloud Charter

A strategic position paper based on the fundamentals analysed in Tasks 81 82 and 83 signed off by the General Assembly as the basis for a sustainable entity

D2.1 Definition of data models and APIs

The deliverable will contain a map of food data areas For each FNS data area data model entities and attributes and APIs signatures parameters and result will be described

Other (6)

D4.3 Report on specifications and access concept for TDS data

User requirements specifications for concentration and consumption data sources, matching tool, simple analysis, and MRCA app(s), low contamination shopping advisor mobile app (low-end user) and food and mixtures apps (high-end user).

D3.2 Methodology for FNS data standardisation and interoperability

Report and open source code for data pre-processing, curation and annotation, matching, analysis and visualisation extended methods will be published on a development platform (e.g., GitHub). FNS ontology will be published on the NCBO BioPortal.

D6.2 Portfolio of communications resources

Communications tools (e.g. branding, resources and literature, web-content, templates, etc.)

D6.4 Portfolio of communications resources

Communications tools (e.g. branding, resources and literature, web-content, templates, etc.) (Update)

D4.2 Food labelling data and reformulation tools

Tool supporting crowd-sourcing of front-of-pack, nutrition declaration, and ingredients images that can be exploited for Food Monitoring Surveys.

D2.4 Authentication and authorisation infrastructure

Authentication and authorisation infrastructure (AAI) will be implemented and deployed, and the FNS-Cloud manual will describe their use. A report will document the work done and AAI functionality.

Demonstrators, pilots, prototypes (1)

D7.1 eLearning

e-learning content and inventory of resources

Publications

Book chapters (3)

Food Data Normalization Using Lexical and Semantic Similarities Heuristics

Auteurs: Gordana Ispirova, Gorjan Popovski, Eva Valenčič, Nina Hadzi-Kotarova, Tome Eftimov, Barbara Koroušić Seljak
Publié dans: Biomedical Engineering Systems and Technologies - 13th International Joint Conference, BIOSTEC 2020, Valletta, Malta, February 24–26, 2020, Revised Selected Papers, Numéro 1400, 2021, Page(s) 468-485, ISBN 978-3-030-72378-1
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-72379-8_23

FoodOntoMapV2: Food Concepts Normalization Across Food Ontologies

Auteurs: Gorjan Popovski, Barbara Koroušić Seljak, Tome Eftimov
Publié dans: Knowledge Discovery, Knowledge Engineering and Knowledge Management - 11th International Joint Conference, IC3K 2019, Vienna, Austria, September 17-19, 2019, Revised Selected Papers, Numéro 1297, 2020, Page(s) 413-426, ISBN 978-3-030-66195-3
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-66196-0_19

FoodViz: Visualization of Food Entities Linked Across Different Standards

Auteurs: Riste Stojanov, Gorjan Popovski, Nasi Jofce, Dimitar Trajanov, Barbara Koroušić Seljak, Tome Eftimov
Publié dans: Machine Learning, Optimization, and Data Science - 6th International Conference, LOD 2020, Siena, Italy, July 19–23, 2020, Revised Selected Papers, Part II, Numéro 12566, 2020, Page(s) 28-38, ISBN 978-3-030-64579-3
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-64580-9_4

Conference proceedings (24)

Predefined domain specific embeddings of food concepts and recipes

Auteurs: Ispirova, Gordana; Eftimov, Tome; Koroušić-Seljak, Barbara
Publié dans: 2022 IEEE International Conference on Big Data, Numéro 1, 2022, Page(s) 4074-4083, ISBN 978-1-6654-8045-1
Éditeur: IEEE
DOI: 10.1109/bigdata55660.2022.10020698

SciFoodNER

Auteurs: Cenikj, Gjorgjina; Petelin, Gašper; Koroušić-Seljak, Barbara; Eftimov, Tome
Publié dans: https://dirros.openscience.si/Dokument.php?id=22530&lang=slv, Numéro Annually, 2022, Page(s) 4065-4073, ISBN 9781119701859
Éditeur: IEEE
DOI: 10.1109/bigdata55660.2022.10020459

Food Data Integration by using Heuristics based on Lexical and Semantic Similarities

Auteurs: Gorjan Popovski, Gordana Ispirova, Nina Hadzi-Kotarova, Eva Valenčič, Tome Eftimov, Barbara Seljak
Publié dans: Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies, Numéro anually, 2020, Page(s) 208-216, ISBN 978-989-758-398-8
Éditeur: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0008990602080216

Exploring a standardized language for describing foods using embedding techniques

Auteurs: Gorjan Popovski, Bibek Paudel, Tome Eftimov, Barbara Korousic Seljak
Publié dans: 2019 IEEE International Conference on Big Data (Big Data), Numéro anually, 2019, Page(s) 5172-5176, ISBN 978-1-7281-0858-2
Éditeur: IEEE
DOI: 10.1109/bigdata47090.2019.9005970

Toward improved semantic annotation of food and nutrition data

Auteurs: Jovanovska, L., Panov, P.
Publié dans: Proceedings of the 23rd International Multiconference Information Society - Data mining and Data Warehouses (SiKDD 2020), Numéro anually, 2020, Page(s) 45-48, ISBN 978-961-264-192-4
Éditeur: Kataložni zapis o publikaciji (CIP) pripravili v Narodni in univerzitetni knjižnici

1. The food nutrition security cloud in Europe2. Open data in the context of FNS-Cloud and METROFOOD-RI

Auteurs: 1. Finglas P., Astley, S., Korousic-Seljak, B., Gibney, E., Presser, K., de la Cueva Gonzalez-Cotera, J., Fillery-Travis, A., Webb, S. and Frankte, P. on behalf of the FNS Consortium 2. Presser K., Matuszczak A., Kapela W., Zoani C., Finglas P., Astley, S., Koroušić Seljak B.
Publié dans: 5th IMEKOFOODS, Numéro annually, 2020, Page(s) 27-28; 39-40, ISBN 978-80-213-3036-8
Éditeur: Czech University of Life Sciences Prague (CZ)
DOI: 10.5281/zenodo.4446984

The food nutrition security cloud in Europe

Auteurs: Finglas, P; Astley, S; Korousic-Seljak, B; Gibney, E; Presser, K; de la Cueva Gonzalez-Cotera, J.; Fillery-Travis, A; Webb, S; Frankte, P
Publié dans: 5th IMEKO Conference - Proceedings, Numéro 1, 2020, Page(s) 31-32
Éditeur: IMEKO
DOI: 10.5281/zenodo.6961951

Teaching Open Science. What do FNS-Cloud Food Researchers Want to Know?

Auteurs: FLYNN; Ciolacu; Fillery-Travis; Mayor
Publié dans: 8th International Conference on Higher Education Advances (HEAd'22), Numéro 1, 2022
Éditeur: OpenAIRE
DOI: 10.5281/zenodo.6655779

Toward improved semantic annotation of food and nutrition data

Auteurs: Jovanovska, Lidija; Panov, Panče
Publié dans: Proceedings of the 23rd International Multiconference Information Society - Data mining and Data Warehouses, Numéro 1, 2020, Page(s) 45-49
Éditeur: JSI
DOI: 10.5281/zenodo.6958615

FoodChem: A food-chemical relation extraction model

Auteurs: Gjorgjina Cenikj; Barbara Korousic Seljak; Tome Eftimov
Publié dans: 2021 IEEE Symposium Series on Computational Intelligence, Numéro 2021, 2021, Page(s) 1-8, ISSN 1803-7232
Éditeur: John Wiley & Sons and IEEE
DOI: 10.1109/ssci50451.2021.9660161

FoodIE: A Rule-based Named-entity Recognition Method for Food Information Extraction

Auteurs: Gorjan Popovski, Stefan Kochev, Barbara Seljak, Tome Eftimov
Publié dans: Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, Numéro annually, 2019, Page(s) 915-922, ISBN 978-989-758-351-3
Éditeur: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0007686309150922

Comparing Semantic and Nutrient Value Similarities of Recipes

Auteurs: Gordana Ispirova, Tome Eftimov, Barbara Korousic Seljak
Publié dans: 2019 IEEE International Conference on Big Data (Big Data), Numéro anually, 2019, Page(s) 5131-5139, ISBN 978-1-7281-0858-2
Éditeur: IEEE
DOI: 10.1109/bigdata47090.2019.9006080

Food Nutrition and Security Cloud: A case usage of NLP technologies to extract food–drug interactions from scientific and clinical texts.

Auteurs: Enrique Carrillo de Santa Pau
Publié dans: IBERIAN HEALTH AND FOOD LANGUAGE TECHNOLOGIES (IberHeLT), Numéro 2021, 2021, Page(s) 1-19
Éditeur: IberHeLT2021
DOI: 10.5281/zenodo.6962455

Managing food and microbiome studies data using Fairspace, a flexible and FAIR data management platform

Auteurs: Grudzien E., van der Horst E., van den Bergh F., Traka M.H., Ng D., Hildebrand F., Evelo C.T., Coort S.L.M., Şener D.D., Cirillo E.
Publié dans: CEUR Workshop Proceedings, Numéro 3415, 2023, Page(s) 171-172, ISSN 1613-0073
Éditeur: CEUR-WS

APRICOT: A humAn-comPuteR InteraCtion tool for linking foOd wasTe streams across different semantic resources

Auteurs: Bojan Dimoski, Riste Stojanov, Tome Eftimov, Hannah Pinchen, Maria Traka, Paul Finglas, Barbara Korousic Seljak
Publié dans: 2020 IEEE International Conference on Big Data (Big Data), Numéro anually, 2020, Page(s) 3557-3562, ISBN 978-1-7281-6251-5
Éditeur: IEEE
DOI: 10.1109/bigdata50022.2020.9377744

Exploring Knowledge Domain Bias on a Prediction Task for Food and Nutrition Data

Auteurs: Gordana Ispirova, Tome Eftimov, Barbara Korousic Seljak
Publié dans: 2020 IEEE International Conference on Big Data (Big Data), Numéro annually, 2020, Page(s) 3563-3572, ISBN 978-1-7281-6251-5
Éditeur: IEEE
DOI: 10.1109/bigdata50022.2020.9378159

Development of a mapping and merging framework to address data fragmentation in nutritional research: FNS Cloud project

Auteurs: G. Bennett; LA. Bardon; C. McAteer; ER. Gibney
Publié dans: Proceedings of the Nutrition Society, Numéro 81, 2022, Page(s) E95, ISSN 0029-6651
Éditeur: Cambridge University Press
DOI: 10.1017/s0029665122001240

Designing Apps to Support Engagement by Older Adults: A think-aloud study of the eNutri dietary-intake assessment web app

Auteurs: Kelly, Eve and Weech, Michelle and Fallaize, Rosalind and Zenun Franco, Rodrigo and Hwang, Faustina and Lovegrove, Julie
Publié dans: Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility, Numéro 60, 2021, Page(s) 1-3, ISBN 9781450383066
Éditeur: Association for Computing Machinery
DOI: 10.1145/3441852.3476537

The Book of Abstracts of the 5th International Conference on Metrology in Food and Nutrition - IMEKOFOODS 5

Auteurs: Matyáš Krtička; Matěj Božik; Lenka Kouřimská; Pavel Klouček
Publié dans: Book of Abstracts of the 5th International Conference on Metrology in Food and Nutrition - IMEKOFOODS 5, Numéro 2020, 2020, Page(s) 16-18, ISBN 978-80-213-3036-8
Éditeur: CZECH UNIVERSITY OF LIFE SCIENCES
DOI: 10.5281/zenodo.4035961

Using Deep Learning for Food and Beverage Image Recognition

Auteurs: Simon Mezgec, Barbara Korousic Seljak
Publié dans: 2019 IEEE International Conference on Big Data (Big Data), Numéro annualy, 2019, Page(s) 5149-5151, ISBN 978-1-7281-0858-2
Éditeur: IEEE
DOI: 10.1109/bigdata47090.2019.9006181

III BioinfoCAM abstract: Detection of food-drug interactions using natural language processing techniques in the context of FNS-Cloud project

Auteurs: Garranzo, Marco; Laguna Lobo, Teresa; Carrillo de Santa Pau, Enrique
Publié dans: III BioinfoCAM Proceedings, Numéro 1, 2022, Page(s) 1
Éditeur: OpenAIRE
DOI: 10.5281/zenodo.6958157

BuTTER: BidirecTional LSTM for Food Named-Entity Recognition

Auteurs: Gjorgjina Cenikj, Gorjan Popovski, Riste Stojanov, Barbara Korousic Seljak, Tome Eftimov
Publié dans: 2020 IEEE International Conference on Big Data (Big Data), Numéro annualy, 2020, Page(s) 3550-3556, ISBN 978-1-7281-6251-5
Éditeur: IEEE
DOI: 10.1109/bigdata50022.2020.9378151

1. Open data in the context of FNS-Cloud and METROFOOD-RI 2. The food nutrition security cloud in Europe

Auteurs: 1. Presser K. 1 , Matuszczak A.2, Kapela W.2, Zoani C.3, Finglas P.4, 5, Astley, S.5, Koroušić Seljak B.6 2. Finglas P.1,2, Astley, S.2, Korousic-Seljak, B.3, Gibney, E.4, Presser, K.5, de la Cueva Gonzalez-Cotera,J.6, Fillery-Travis, A.7, Webb, S.8 and Frankte, P.9
Publié dans: 5 TH INTERNATIONAL CONFERENCE ON METROLOGY IN FOOD AND NUTRITION, Numéro annually, 2020, Page(s) 31, 46, ISBN 978-80-213-3036-8
Éditeur: CZECH UNIVERSITY OF LIFE SCIENCES PRAGUE
DOI: 10.5281/zenodo.4772372

Development of a first-generation Food Cloud for data, tools and services related to the nutrition, health and agri-food sciences–contributions from UCD to the Food Nutrition Security Cloud (FNS-Cloud) project

Auteurs: LA. Bardon; G. Bennett; C. McAteer; SY. Yang; ER. Gibney
Publié dans: Proceedings of the Nutrition Society, Numéro 81, 2022, Page(s) E106, ISSN 0022-3166
Éditeur: Cambridge University Press
DOI: 10.1017/s0029665122001355

Peer reviewed articles (40)

Branded Foods Databases as a Tool to Support Nutrition Research and Monitoring of the Food Supply: Insights From the Slovenian Composition and Labeling Information System

Auteurs: Igor Pravst; Igor Pravst; Igor Pravst; Maša Hribar; Maša Hribar; Katja Žmitek; Katja Žmitek; Bojan Blažica; Barbara Koroušić Seljak; Anita Kušar; Anita Kušar
Publié dans: Frontiers in Nutrition, Numéro 8, 2021, Page(s) 798576, ISSN 2296-861X
Éditeur: Frontier Media SA
DOI: 10.3389/fnut.2021.798576

Special Issue “Innovations in the Food System: Exploring the Future of Food”

Auteurs: Maria Lisa Clodoveo
Publié dans: MDPI Foods, Numéro 11(15), 2022, Page(s) 2183, ISSN 2304-8158
Éditeur: MDPI
DOI: 10.3390/foods11152183

Ontology Completion with Graph-Based Machine Learning: A Comprehensive Evaluation

Auteurs: Mežnar, Sebastian, Matej Bevec, Nada Lavrač, and Blaž Škrlj
Publié dans: Machine Learning and Knowledge Extraction, Numéro 4, 2022, Page(s) 1107-1123, ISSN 2504-4990
Éditeur: MDPI
DOI: 10.3390/make4040056

DDeMON: Ontology-based function prediction by Deep Learning from Dynamic Multiplex Networks

Auteurs: Kralj, Jan; Škrlj, Blaž; Ramšak, Živa; Lavrač, Nada; Gruden, Kristina
Publié dans: arXiv: Genomics, Numéro 2302.03907v1, 2023, Page(s) 1-17, ISSN 2331-8422
Éditeur: arXiv
DOI: 10.48550/arxiv.2302.03907

A Survey of Named-Entity Recognition Methods for Food Information Extraction

Auteurs: Gorjan Popovski, Barbara Korousic Seljak, Tome Eftimov
Publié dans: IEEE Access, Numéro 8, 2020, Page(s) 31586-31594, ISSN 2169-3536
Éditeur: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2020.2973502

Usability of a web-based food frequency questionnaire app (eNutri) and a 24-hour dietary recall system (Intake24) in adults aged 65 years

Auteurs: Kelly, E., Weech, M., Fallaize, R., Franco, R., Hwang, F., & Lovegrove, J.
Publié dans: Proceedings of the Nutrition Society, Numéro 81(OCE5), 2022, Page(s) E213, ISSN 0029-6651
Éditeur: CABI Publishing
DOI: 10.1017/s0029665122002464

Predefined domain specific embeddings of food concepts and recipes: A case study on heterogeneous recipe datasets

Auteurs: Ispirova, Gordana; Eftimov, Tome; Seljak, Barbara Koroušić
Publié dans: ArXiv: Computation and Language, Numéro 2302.01005, 2023, Page(s) 1-10, ISSN 2331-8422
Éditeur: ArXiv
DOI: 10.48550/arxiv.2302.01005

In-depth insights into Alzheimer’s disease by using explainable machine learning approach

Auteurs: Bojan Bogdanovic; Tome Eftimov; Monika Simjanoska
Publié dans: Scientific Reports, Numéro 12, 2021, Page(s) 6508, ISSN 2045-2322
Éditeur: Nature Publishing Group
DOI: 10.1038/s41598-022-10202-2

FoodEx2vec: New foods’ representation for advanced food data analysis

Auteurs: Tome Eftimov, Gorjan Popovski, Eva Valenčič, Barbara Koroušić Seljak
Publié dans: Food and Chemical Toxicology, Numéro 138, 2020, Page(s) 111169, ISSN 0278-6915
Éditeur: Elsevier BV
DOI: 10.1016/j.fct.2020.111169

COVID-19 pandemic changes the food consumption patterns

Auteurs: Tome Eftimov, Gorjan Popovski, Matej Petković, Barbara Koroušić Seljak, Dragi Kocev
Publié dans: Trends in Food Science & Technology, Numéro 104, 2020, Page(s) 268-272, ISSN 0924-2244
Éditeur: Elsevier BV
DOI: 10.1016/j.tifs.2020.08.017

P-NUT: Predicting NUTrient Content from Short Text Descriptions

Auteurs: Gordana Ispirova, Tome Eftimov, Barbara Koroušić Seljak
Publié dans: Mathematics, Numéro 8/10, 2020, Page(s) 1811, ISSN 2227-7390
Éditeur: MDPI
DOI: 10.3390/math8101811

Validation of a developed online 24-h dietary recall tool (Foodbook24) in a Chinese population in Ireland: preliminary results from a comparison study

Auteurs: S. Yang; G. Bennett; L.A. Bardon; E.L. Feeney; E.R. Gibney
Publié dans: Proceedings of the Nutrition Society, Numéro 81, 2022, Page(s) E92, ISSN 0022-3166
Éditeur: American Society for Nutritional Sciences
DOI: 10.1017/s0029665122001215

FooDis

Auteurs: Cenikj, Gjorgjina; Eftimov, Tome; Koroušić-Seljak, Barbara
Publié dans: Artificial Intelligence in Medicine, Numéro 142, 2023, Page(s) 102586, ISSN 1873-2860
Éditeur: Elsevier
DOI: 10.1016/j.artmed.2023.102586

Ten simple rules for creating reusable pathway models for computational analysis and visualization.

Auteurs: Kristina Hanspers; Martina Kutmon; Susan L. Coort; Daniela Digles; Lauren J. Dupuis; Friederike Ehrhart; Finterly Hu; Elisson Nogueira Lopes; Marvin Martens; Nhung Pham; Woosub Shin; Denise Slenter; Andra Waagmeester; Egon Willighagen; Laurent A. Winckers; Chris T. Evelo; Alexander R. Pico
Publié dans: PLoS Computational Biology, Numéro 17(8), 2021, Page(s) e1009226, ISSN 1553-7358
Éditeur: PLOS
DOI: 10.1371/journal.pcbi.1009226

Introducing ground cover management in pesticide emission modeling

Auteurs: Céline Gentil-Sergent; Claudine Basset-Mens; Christel Renaud-Gentié; Charles Mottes; Carlos Manuel Moraleda Melero; Arthur Launay; Peter Fantke
Publié dans: Integrated Environmental Assessment and Management, Numéro 18(1), 2020, Page(s) 274–288, ISSN 1551-3793
Éditeur: John Wiley & Sons
DOI: 10.1002/ieam.4482

FoodBase corpus: a new resource of annotated food entities

Auteurs: Gorjan Popovski, Barbara Koroušić Seljak, Tome Eftimov
Publié dans: Database, Numéro 2019, 2019, Page(s) 1-13, ISSN 1758-0463
Éditeur: Oxford University Press
DOI: 10.1093/database/baz121

Optimising an FFQ Using a Machine Learning Pipeline to teach an Efficient Nutrient Intake Predictive Model.

Auteurs: Nina Reščič; Tome Eftimov; Barbara Koroušić Seljak; Mitja Luštrek
Publié dans: MDPI Nutrients, Numéro 12(12), 2020, Page(s) 3789, ISSN 2072-6643
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/nu12123789

A Search Engine Concept to Improve Food Traceability and Transparency: Preliminary Results

Auteurs: Palocci, Caterina, Karl Presser, Agnieszka Kabza, Emilia Pucci, and Claudia Zoani
Publié dans: Foods, Numéro 7, 2022, Page(s) 989, ISSN 2304-8158
Éditeur: MDPI
DOI: 10.3390/foods11070989

Improved plant bioconcentration modeling of pesticides: The role of periderm dynamics

Auteurs: Shenglan Xiao; Zijian Li; Peter Fantke
Publié dans: Pest Management Science, Numéro 77(11), 2021, Page(s) 5096-5108, ISSN 1526-4998
Éditeur: John Wiley & Sons
DOI: 10.1002/ps.6549

Link Analysis meets Ontologies: Are Embeddings the Answer?

Auteurs: Me��nar, Sebastian; Bevec, Matej; Lavra��, Nada; ��krlj, Bla��
Publié dans: arXiv, Numéro https://arxiv.org/abs/2111.11710v1, 2021, Page(s) https://arxiv.org/abs/2111.11710v1, ISSN 2331-8422
Éditeur: Cornell University
DOI: 10.48550/arxiv.2111.11710

Applications of Wild Isolates of Saccharomyces Yeast for Industrial Fermentation: The Gut of Social Insects as Niche for Yeast Hybrids’ Production

Auteurs: Monica Di Paola, Niccolò Meriggi, Duccio Cavalieri
Publié dans: Frontiers in Microbiology, Numéro 11, 2020, Page(s) 1-8, ISSN 1664-302X
Éditeur: Frontiers Media
DOI: 10.3389/fmicb.2020.578425

Deep Neural Networks for Image-Based Dietary Assessment

Auteurs: Simon Mezgec, Barbara Koroušić Seljak
Publié dans: Journal of Visualized Experiments, Numéro 169, 2021, ISSN 1940-087X
Éditeur: MYJoVE Corporation
DOI: 10.3791/61906

A Comparison of Dietary Patterns and Factors Influencing Food Choice among Ethnic Groups Living in One Locality: A Systematic Review

Auteurs: Eileen Gibney; Grace Bennett; Laura Bardon
Publié dans: Nutrients, Numéro 14(5), 2022, Page(s) 941, ISSN 2072-6643
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/nu14050941

Domain Heuristic Fusion of Multi-Word Embeddings for Nutrient Value Prediction

Auteurs: Gordana Ispirova; Tome Eftimov; Barbara Koroušić Seljak
Publié dans: Mathematics, Numéro 9(16), 2021, Page(s) 1941, ISSN 2227-7390
Éditeur: MDPI AG
DOI: 10.3390/math9161941

Diets, nutrients, genes and the microbiome: recent advances in personalised nutrition

Auteurs: Nathan V. Matusheski, Aoife Caffrey, Lars Christensen, Simon Mezgec, Shelini Surendran, Mads F. Hjorth, Helene McNulty, Kristina Pentieva, Henrik M. Roager, Barbara Koroušić Seljak, Karani Santhanakrishnan Vimaleswaran, Marcus Remmers, Szabolcs Péter
Publié dans: British Journal of Nutrition, Numéro twice monthly, 2021, Page(s) 1-9, ISSN 0007-1145
Éditeur: CABI Publishing
DOI: 10.1017/s0007114521000374

Trends in the Use of Low and No-Calorie Sweeteners in Non-Alcoholic Beverages in Slovenia

Auteurs: Edvina Hafner, Maša Hribar, Hristo Hristov, Anita Kušar, Katja Žmitek, Mark Roe, Igor Pravst
Publié dans: Foods, Numéro 10/2, 2021, Page(s) 387, ISSN 2304-8158
Éditeur: MDPI
DOI: 10.3390/foods10020387

Cross-linking reactions in food proteins and proteomic approaches for their detection

Auteurs: Giovanni Renzone, Simona Arena, Andrea Scaloni
Publié dans: Mass Spectrometry Reviews, Numéro 10982787, 2021, Page(s) 1-38, ISSN 1098-2787
Éditeur: Wiley
DOI: 10.1002/mas.21717

The Sharp Rise in the Use of Low- and No-Calorie Sweeteners in Non-Alcoholic Beverages in Slovenia: An Update Based on 2020 Data

Auteurs: Edvina Hafner; Edvina Hafner; Igor Pravst; Igor Pravst; Igor Pravst
Publié dans: Frontiers in Nutrition, Numéro 8, 2021, Page(s) 778178, ISSN 2296-861X
Éditeur: Frontier Media SA
DOI: 10.3389/fnut.2021.778178

Verifying the Use of Food Labeling Data for Compiling Branded Food Databases: A Case Study of Sugars in Beverages

Auteurs: Edvina Hafner; Edvina Hafner; Živa Lavriša; Maša Hribar; Sanja Krušič; Anita Kušar; Katja Žmitek; Katja Žmitek; Mihaela Skrt; Nataša Poklar Ulrih; Igor Pravst; Igor Pravst; Igor Pravst
Publié dans: Frontiers in Nutrition, Numéro 9, 2022, Page(s) 794468, ISSN 2296-861X
Éditeur: Frontiers Media S.A.
DOI: 10.3389/fnut.2022.794468

Co-designing personalised nutrition advice with adults aged 65+ years: a user study of the eNutri web app

Auteurs: Kelly, E., Weech, M., Fallaize, R., Franco, R., Hwang, F., & Lovegrove, J.
Publié dans: Proceedings of the Nutrition Society, Numéro 80(OCE5), 2021, Page(s) E187, ISSN 0029-6651
Éditeur: CABI Publishing
DOI: 10.1017/s0029665121003153

Use of Food Additive Titanium Dioxide (E171) before the Introduction of Regulatory Restrictions Due to Concern for Genotoxicity

Auteurs: Urška Blaznik; Sanja Krušič; Maša Hribar; Anita Kušar; Katja Žmitek; Igor Pravst
Publié dans: Foods, Numéro 10(8), 2021, Page(s) 1910, ISSN 2304-8158
Éditeur: MDPI
DOI: 10.3390/foods10081910

Workflow for building interoperable food and nutrition security (FNS) data platforms

Auteurs: Emara, Yasmine; Koroušić Seljak, Barbara; Gibney, Eileen R.; Popovski, Gorjan; Pravst, Igor; Fantke, Peter
Publié dans: Trends in Food Science & Technology, Numéro 1, 2022, Page(s) 310-321, ISSN 0924-2244
Éditeur: Elsevier BV
DOI: 10.1016/j.tifs.2022.03.022

Improving Pesticide Uptake Modeling into Potatoes: Considering Tuber Growth Dynamics

Auteurs: Shenglan Xiao, Yishu Gong, Zijian Li, Peter Fantke
Publié dans: Journal of Agricultural and Food Chemistry, Numéro 69/12, 2021, Page(s) 3607-3616, ISSN 0021-8561
Éditeur: American Chemical Society
DOI: 10.1021/acs.jafc.1c00151

Evaluation of the Ability of Nutri-Score to Discriminate the Nutritional Quality of Prepacked Foods Using a Sale-Weighting Approach

Auteurs: Edvina Hafner; Igor Pravst
Publié dans: Foods, Numéro 10(8), 2021, Page(s) 1689, ISSN 2304-8158
Éditeur: MDPI
DOI: 10.3390/foods10081689

Use of Branded Food Composition Databases for the Exploitation of Food Fortification Practices: A Case Study on Vitamin D in the Slovenian Food Supply

Auteurs: Sanja Krušič, Maša Hribar, Edvina Hafner, Katja Žmitek, Igor Pravst
Publié dans: Frontiers in Nutrition, Numéro 8, 2021, Page(s) 775163, ISSN 2296-861X
Éditeur: Frontiers Media S.A.
DOI: 10.3389/fnut.2021.775163

In-depth Insights into Alzheimer's Disease by using Explainable Machine Learning Approach - Existing Hypothesis Confronted

Auteurs: Bojan Bogdanovic; Tome Eftimov; Monika Simjanoska
Publié dans: Scientific Reports, Numéro 12, 2022, Page(s) 6508, ISSN 1476-4687
Éditeur: Macmillan Ltd
DOI: 10.21203/rs.3.rs-447958/v1

Semantics of Dairy Fermented Foods: A Microbiologist’s Perspective

Auteurs: VITALI, Francesco, ZINNO, Paola, SCHIFANO, Emily, GORI, Agnese, COSTA, Ana, DE FILIPPO, Carlota, KOROUŠIĆ-SELJAK, Barbara, PANOV, Panče, DEVIRGILIIS, Chiara, CAVALIERI, Duccio
Publié dans: MDPI Foods, Numéro 23048158, 2022, Page(s) 19-39, ISSN 2304-8158
Éditeur: MDPI
DOI: 10.3390/foods11131939

Comparison of Nutri-Score and Health Star Rating Nutrient Profiling Models Using Large Branded Foods Composition Database and Sales Data

Auteurs: Edvina Hafner; Igor Pravst
Publié dans: MDPI Environmental Research and Public Health, Numéro 20(5), 2022, Page(s) 3980, ISSN 1660-4601
Éditeur: MDPI
DOI: 10.3390/ijerph20053980

CafeteriaSA corpus: scientific abstracts annotated across different food semantic resources

Auteurs: Gjorgjina Cenikj; Eva Valenčič; Gordana Ispirova; Matevž Ogrinc; Riste Stojanov; Peter Korošec; Ermanno Cavalli; Barbara Koroušić Seljak; Tome Eftimov
Publié dans: DATABASE: The Journal of Biological Database and Curation, Numéro 2022, 2022, Page(s) 1-12, ISSN 1758-0463
Éditeur: Oxford University Press
DOI: 10.1093/database/baac107

Multimodal AutoML via Representation Evolution

Auteurs: Blaž Škrlj; Matej Bevec; Nada Lavrač
Publié dans: Machine Learning and Knowledge Extraction, Numéro 5(1), 2023, Page(s) 1-13, ISSN 2078-2489
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/make5010001

Thesis and dissertations (1)

Study of the metabolic interaction between drugs and foods / biocomponents

Auteurs: Marco Garranzo
Publié dans: 2021
Éditeur: IMDEA - Universidad Autónoma de Madrid

Other (1)

Poster - Data sharing to improve food supply chain management

Auteurs: Palocci C.1, Zoani C.2
Publié dans: 5 TH INTERNATIONAL CONFERENCE ON METROLOGY IN FOOD AND NUTRITION, Numéro annualy, 2020
Éditeur: CZECH UNIVERSITY OF LIFE SCIENCES PRAGUE