| NutriNet: a deep learning food and drink image recognition system for dietary assessment S Mezgec, B Koroušić Seljak Nutrients 9 (7), 657, 2017 | 178 | 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 | 123 | 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 | 122 | 2017 |
| Computer-based dietary menu planning B Koroušić Seljak Journal of food composition and analysis 22 (5), 414-420, 2009 | 80 | 2009 |
| A novel approach to statistical comparison of meta-heuristic stochastic optimization algorithms using deep statistics T Eftimov, P Korošec, BK Seljak Information Sciences 417, 186-215, 2017 | 68 | 2017 |
| 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 | 62 | 2017 |
| 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 | 57 | 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 | 47 | 2020 |
| 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 | 45 | 2019 |
| 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 | 43 | 2021 |
| FoodBase corpus: a new resource of annotated food entities G Popovski, BK Seljak, T Eftimov Database 2019, 2019 | 40 | 2019 |
| The Slovenian food composition database M Korošec, T Golob, J Bertoncelj, V Stibilj, BK Seljak Food chemistry 140 (3), 495-499, 2013 | 37 | 2013 |
| 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 | 31 | 2009 |
| Dietary menu planning using an evolutionary method BK Seljak 2006 International Conference on Intelligent Engineering Systems, 108-113, 2006 | 31 | 2006 |
| Evaluating missing value imputation methods for food composition databases G Ispirova, T Eftimov, BK Seljak Food and Chemical Toxicology 141, 111368, 2020 | 26 | 2020 |
| Food composition databases for effective quality nutritional care BK Seljak, V Stibilj, L Pograjc, NF Mis, E Benedik Food chemistry 140 (3), 553-561, 2013 | 26 | 2013 |
| Smernice zdravega prehranjevanja delavcev v delovnih organizacijah D Pokorn, JM Zakotnik, U Močnik-Bončina, B Koroušić-Seljak, ... Ministrstvo za zdravje, 2007 | 26 | 2007 |
| Task scheduling policies for real-time systems B Koroušić-Seljak Microprocessors and Microsystems 18 (9), 501-511, 1994 | 26 | 1994 |
| 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 | 25 | 2019 |
| An artificial intelligence approach to the efficiency improvement of a universal motor G Papa, B Koroušić-Seljak Engineering applications of artificial intelligence 18 (1), 47-55, 2005 | 23 | 2005 |
Tome EftimovComputer Systems Department, Jožef Stefan InstituteVerified email at ijs.si
