| NutriNet: a deep learning food and drink image recognition system for dietary assessment S Mezgec, B Koroušić Seljak Nutrients 9 (7), 657, 2017 | 232 | 2017 |
| COVID-19 pandemic changes the food consumption patterns T Eftimov, G Popovski, M Petković, B Koroušić Seljak, D Kocev Trends in food science & technology 104, 268-272, 2020 | 195 | 2020 |
| A rule-based named-entity recognition method for knowledge extraction of evidence-based dietary recommendations T Eftimov, B Koroušić Seljak, P Korošec PloS one 12 (6), e0179488, 2017 | 168 | 2017 |
| A novel approach to statistical comparison of meta-heuristic stochastic optimization algorithms using deep statistics T Eftimov, P Korošec, B Koroušić Seljak Information Sciences 417, 186-215, 2017 | 89 | 2017 |
| Computer-based dietary menu planning B Koroušić Seljak Journal of food composition and analysis 22 (5), 414-420, 2009 | 89 | 2009 |
| Mixed deep learning and natural language processing method for fake-food image recognition and standardization to help automated dietary assessment S Mezgec, T Eftimov, T Bucher, B Koroušić Seljak Public health nutrition 22 (7), 1193-1202, 2019 | 76 | 2019 |
| PD_Manager: an mHealth platform for Parkinson's disease patient management KM Tsiouris, D Gatsios, G Rigas, D Miljkovic, B Koroušić Seljak, ... Healthcare technology letters 4 (3), 102-108, 2017 | 74 | 2017 |
| A survey of named-entity recognition methods for food information extraction G Popovski, B Koroušić Seljak, T Eftimov IEEE Access 8, 31586-31594, 2020 | 71 | 2020 |
| Impact of COVID-19 confinement on eating behaviours across 16 European countries: The COVIDiet cross-national study E Molina-Montes, I Uzhova, V Verardo, R Artacho, B García-Villanova, ... Food Quality and Preference 93, 104231, 2021 | 65 | 2021 |
| StandFood: standardization of foods using a semi-automatic system for classifying and describing foods according to FoodEx2 T Eftimov, P Korošec, B Koroušić Seljak Nutrients 9 (6), 542, 2017 | 65 | 2017 |
| FoodBase corpus: a new resource of annotated food entities G Popovski, B Koroušić Seljak, T Eftimov Database 2019, baz121, 2019 | 64 | 2019 |
| Evaluating missing value imputation methods for food composition databases G Ispirova, T Eftimov, B Koroušić Seljak Food and Chemical Toxicology 141, 111368, 2020 | 54 | 2020 |
| The Slovenian food composition database M Korošec, T Golob, J Bertoncelj, V Stibilj, BK Seljak Food chemistry 140 (3), 495-499, 2013 | 44 | 2013 |
| Diets, nutrients, genes and the microbiome: recent advances in personalised nutrition NV Matusheski, A Caffrey, L Christensen, S Mezgec, S Surendran, ... British Journal of Nutrition 126 (10), 1489-1497, 2021 | 41 | 2021 |
| Praktikum jedilnikov zdravega prehranjevanja v vzgojno-izobraževalnih ustanovah:(od prvega leta starosti naprej) C Hlastan-Ribič, JM Zakotnik, B Koroušić-Seljak, D Pokorn, ... Zavod Republike Slovenije za šolstvo, 2009 | 37 | 2009 |
| Inadequate Intake of Dietary Fibre in Adolescents, Adults, and Elderlies: Results of Slovenian Representative SI. Menu Study BK Seljak, E Valenčič, H Hristov, M Hribar, Ž Lavriša, A Kušar, K Žmitek, ... Nutrients 13 (11), 3826, 2021 | 35 | 2021 |
| Dietary menu planning using an evolutionary method BK Seljak 2006 International Conference on Intelligent Engineering Systems, 108-113, 2006 | 34 | 2006 |
| ISO-FOOD ontology: A formal representation of the knowledge within the domain of isotopes for food science T Eftimov, G Ispirova, D Potočnik, N Ogrinc, BK Seljak Food chemistry 277, 382-390, 2019 | 33 | 2019 |
| Using deep learning for food and beverage image recognition S Mezgec, BK Seljak 2019 IEEE International Conference on Big Data (Big Data), 5149-5151, 2019 | 31 | 2019 |
| Vitamin D Intake in Slovenian Adolescents, Adults, and the Elderly Population M Hribar, H Hristov, Ž Lavriša, B Koroušić Seljak, M Gregorič, U Blaznik, ... Nutrients 13 (10), 3528, 2021 | 29 | 2021 |
Tome EftimovComputer Systems Department, Jožef Stefan Institute在 ijs.si 的电子邮件经过验证
