Tome Eftimov
Cited by
Cited by
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
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), 2017
Benchmarking in optimization: Best practice and open issues
T Bartz-Beielstein, C Doerr, D Berg, J Bossek, S Chandrasekaran, ...
arXiv preprint arXiv:2007.03488, 2020
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
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, BK Seljak
Public health nutrition 22 (7), 1193-1202, 2019
A survey of named-entity recognition methods for food information extraction
G Popovski, BK Seljak, T Eftimov
IEEE Access 8, 31586-31594, 2020
Understanding the problem space in single-objective numerical optimization using exploratory landscape analysis
U Škvorc, T Eftimov, P Korošec
Applied Soft Computing 90, 106138, 2020
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 - Open Access Human Nutrition Journal 9 (6), 16, 2017
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
FoodIE: A Rule-based Named-entity Recognition Method for Food Information Extraction
G Popovski, S Kochev, BK Seljak, T Eftimov
The International Conference on Pattern Recognition Applications and Methods …, 2019
FoodBase corpus: a new resource of annotated food entities
G Popovski, BK Seljak, T Eftimov
Database 2019, baz121, 2019
Evaluating missing value imputation methods for food composition databases
G Ispirova, T Eftimov, BK Seljak
Food and Chemical Toxicology 141, 111368, 2020
Multi-level information fusion for learning a blood pressure predictive model using sensor data
M Simjanoska, S Kochev, J Tanevski, AM Bogdanova, G Papa, T Eftimov
Information Fusion 58, 24-39, 2020
A novel statistical approach for comparing meta-heuristic stochastic optimization algorithms according to the distribution of solutions in the search space
T Eftimov, P Korošec
Information Sciences 489, 255-273, 2019
Per-run algorithm selection with warm-starting using trajectory-based features
A Kostovska, A Jankovic, D Vermetten, J de Nobel, H Wang, T Eftimov, ...
International Conference on Parallel Problem Solving from Nature, 46-60, 2022
DSCTool: A web-service-based framework for statistical comparison of stochastic optimization algorithms
T Eftimov, G Petelin, P Korošec
Applied Soft Computing 87, 105977, 2020
In-depth insights into Alzheimer’s disease by using explainable machine learning approach
B Bogdanovic, T Eftimov, M Simjanoska
Scientific Reports 12 (1), 6508, 2022
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
Towards feature-based performance regression using trajectory data
A Jankovic, T Eftimov, C Doerr
Applications of Evolutionary Computation: 24th International Conference …, 2021
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
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