Evaluating missing value imputation methods for food composition databases G Ispirova, T Eftimov, BK Seljak Food and Chemical Toxicology 141, 111368, 2020 | 63 | 2020 |
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 | 35 | 2019 |
MIGHT: Statistical methodology for missing-data imputation in food composition databases G Ispirova, T Eftimov, P Korošec, B Koroušić Seljak Applied Sciences 9 (19), 4111, 2019 | 27 | 2019 |
Mapping Food Composition Data from Various Data Sources to a Domain-Specific Ontology. G Ispirova, T Eftimov, B Korousic-Seljak, P Korosec KEOD, 203-210, 2017 | 16 | 2017 |
P-nut: Predicting nutrient content from short text descriptions G Ispirova, T Eftimov, B Koroušić Seljak Mathematics 8 (10), 1811, 2020 | 15 | 2020 |
Less is more: Selecting the right benchmarking set of data for time series classification T Eftimov, G Petelin, G Cenikj, A Kostovska, G Ispirova, P Korošec, ... Expert Systems with Applications 198, 116871, 2022 | 9 | 2022 |
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 |
Domain heuristic fusion of multi-word embeddings for nutrient value prediction G Ispirova, T Eftimov, B Koroušić Seljak Mathematics 9 (16), 1941, 2021 | 6 | 2021 |
The RICHFIELDS Framework for Semantic Interoperability of Food Information Across Heterogenous Information Systems. T Eftimov, G Ispirova, P Korosec, B Korousic-Seljak KDIR, 313-320, 2018 | 6 | 2018 |
Quisper Ontology Learning from Personalized Dietary Web Services. T Eftimov, G Ispirova, P Finglas, P Korosec, B Korousic-Seljak KEOD, 277-284, 2018 | 6 | 2018 |
CafeteriaFCD corpus: food consumption data annotated with regard to different food semantic resources G Ispirova, G Cenikj, M Ogrinc, E Valenčič, R Stojanov, P Korošec, ... Foods 11 (17), 2684, 2022 | 5 | 2022 |
Exploring Knowledge Domain Bias on a Prediction Task for Food and Nutrition Data G Ispirova, T Eftimov, BK Seljak 2020 IEEE International Conference on Big Data (Big Data), 3563-3572, 2020 | 5 | 2020 |
Assessing the generalizability of a performance predictive model A Nikolikj, G Cenikj, G Ispirova, D Vermetten, RD Lang, AP Engelbrecht, ... Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023 | 4 | 2023 |
Predefined domain specific embeddings of food concepts and recipes: A case study on heterogeneous recipe datasets G Ispirova, T Eftimov, BK Seljak 2022 IEEE international conference on big data (big data), 4074-4083, 2022 | 4 | 2022 |
Comparing semantic and nutrient value similarities of recipes G Ispirova, T Eftimov, BK Seljak 2019 IEEE International Conference on Big Data (Big Data), 5131-5139, 2019 | 4 | 2019 |
MsGEN: Measuring generalization of nutrient value prediction across different recipe datasets G Ispirova, T Eftimov, S Džeroski, BK Seljak Expert Systems with Applications 237, 121507, 2024 | 3 | 2024 |
A semi-automatic system for classifying and describing foods according to FoodEx2 T Eftimov, G Ispirova, BK Seljak, P Korošec 3rd IMEKO FOODS, Metrology promoting Standardization and Harmonization in …, 2017 | 3 | 2017 |
CafeteriaSA corpus: scientific abstracts annotated across different food semantic resources G Cenikj, E Valenčič, G Ispirova, M Ogrinc, R Stojanov, P Korošec, ... Database 2022, baac107, 2022 | 2 | 2022 |
Food Data Normalization Using Lexical and Semantic Similarities Heuristics G Ispirova, G Popovski, E Valenčič, N Hadzi-Kotarova, T Eftimov, ... Biomedical Engineering Systems and Technologies: 13th International Joint …, 2021 | 2 | 2021 |
An Insight into Food Semantics: Review, Analysis, and Lessons Learnt over Food-related Studies G Popovski, G Ispirova, E Valencic, R Stojanov, T Eftimov, BK Seljak | 1 | 2020 |