| COVID-19 pandemic changes the food consumption patterns T Eftimov, G Popovski, M Petković, BK Seljak, D Kocev Trends in food science & technology 104, 268-272, 2020 | 221 | 2020 |
| A survey of named-entity recognition methods for food information extraction G Popovski, BK Seljak, T Eftimov IEEE Access 8, 31586-31594, 2020 | 78 | 2020 |
| FoodIE: A Rule-based Named-entity Recognition Method for Food Information Extraction G Popovski, S Kochev, BK Seljak, T Eftimov | 72 | 2019 |
| FoodBase corpus: a new resource of annotated food entities G Popovski, BK Seljak, T Eftimov Database 2019, 2019 | 68 | 2019 |
| Butter: Bidirectional lstm for food named-entity recognition G Cenikj, G Popovski, R Stojanov, BK Seljak, T Eftimov 2020 IEEE International Conference on Big Data (Big Data), 3550-3556, 2020 | 33 | 2020 |
| The impact of hyper-parameter tuning for landscape-aware performance regression and algorithm selection A Jankovic, G Popovski, T Eftimov, C Doerr Proceedings of the Genetic and Evolutionary Computation Conference, 687-696, 2021 | 31 | 2021 |
| A fine-tuned bidirectional encoder representations from transformers model for food named-entity recognition: Algorithm development and validation R Stojanov, G Popovski, G Cenikj, B Koroušić Seljak, T Eftimov Journal of Medical Internet Research 23 (8), e28229, 2021 | 27 | 2021 |
| FoodOntoMap: Linking Food Concepts across Different Food Ontologies G Popovski, BK Seljak, T Eftimov | 27 | 2019 |
| Linear matrix factorization embeddings for single-objective optimization landscapes T Eftimov, G Popovski, Q Renau, P Korošec, C Doerr 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 775-782, 2020 | 16 | 2020 |
| Foodviz: Visualization of food entities linked across different standards R Stojanov, G Popovski, N Jofce, D Trajanov, BK Seljak, T Eftimov Machine Learning, Optimization, and Data Science: 6th International …, 2020 | 12 | 2020 |
| FoodEx2vec: New foods’ representation for advanced food data analysis T Eftimov, G Popovski, E Valenčič, BK Seljak Food and Chemical Toxicology 138, 111169, 2020 | 11 | 2020 |
| Food Data Integration by using Heuristics based on Lexical and Semantic Similarities. G Popovski, G Ispirova, N Hadzi-Kotarova, E Valencic, T Eftimov, ... HEALTHINF, 208-216, 2020 | 9 | 2020 |
| Personalizing performance regression models to black-box optimization problems T Eftimov, A Jankovic, G Popovski, C Doerr, P Korošec Proceedings of the Genetic and Evolutionary Computation Conference, 669-677, 2021 | 8 | 2021 |
| Performance2vec: a step further in explainable stochastic optimization algorithm performance T Eftimov, G Popovski, D Kocev, P Korošec Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020 | 8 | 2020 |
| Workflow for building interoperable food and nutrition security (FNS) data platforms Y Emara, BK Seljak, ER Gibney, G Popovski, I Pravst, P Fantke Trends in Food Science & Technology 123, 310-321, 2022 | 7 | 2022 |
| A framework for evaluating personalized ranking systems by fusing different evaluation measures T Eftimov, B Paudel, G Popovski, D Kocev Big Data Research 25, 100211, 2021 | 6 | 2021 |
| DIETHUB: Dietary habits analysis through understanding the content of recipes M Petković, G Popovski, BK Seljak, D Kocev, T Eftimov Trends in Food Science & Technology 107, 183-194, 2021 | 6 | 2021 |
| PerformViz: a machine learning approach to visualize and understand the performance of single-objective optimization algorithms T Eftimov, R Hribar, U Škvorc, G Popovski, G Petelin, P Korošec Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020 | 4 | 2020 |
| Exploring a standardized language for describing foods using embedding techniques G Popovski, B Paudel, T Eftimov, BK Seljak 2019 IEEE International Conference on Big Data (Big Data), 5172-5176, 2019 | 4 | 2019 |
| Toward Robust Food Ontology Mapping R Stojanov, I Kocev, S Gramatikov, G Popovski, BK Seljak, T Eftimov 2020 IEEE International Conference on Big Data (Big Data), 3596-3601, 2020 | 3 | 2020 |
Tome EftimovComputer Systems Department, Jožef Stefan Institute在 ijs.si 的电子邮件经过验证