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Scientific Reports|April 21, 2022
In-depth insights into Alzheimer's disease by using explainable machine learning approachBojan Bogdanovic, Tome Eftimov, Monika SimjanoskaExpert Systems with Applications|August 10, 2022
Dietary, comorbidity, and geo-economic data fusion for explainable COVID-19 mortality predictionMilena Trajanoska, Risto Trajanov, Tome EftimovFrontiers in Nutrition|September 18, 2024
Zero-shot evaluation of ChatGPT for food named-entity recognition and linkingMatevž Ogrinc, Barbara Koroušić Seljak, Tome EftimovDatabase : the Journal of Biological Databases and Curation|November 5, 2019
FoodBase corpus: a new resource of annotated food entitiesGorjan Popovski, Barbara Koroušić Seljak, Tome EftimovPlos One|June 24, 2017
A rule-based named-entity recognition method for knowledge extraction of evidence-based dietary recommendationsTome Eftimov, Barbara Koroušić Seljak, Peter KorošecFood and Chemical Toxicology : an International Journal Published for the British Industrial Biological Research Association|May 8, 2020
Evaluating missing value imputation methods for food composition databasesGordana Ispirova, Tome Eftimov, Barbara Koroušić SeljakArtificial Intelligence in Medicine|June 14, 2023
FooDis: A food-disease relation mining pipelineGjorgjina Cenikj, Tome Eftimov, Barbara Koroušić SeljakNutrients|June 8, 2017
StandFood: Standardization of Foods Using a Semi-Automatic System for Classifying and Describing Foods According to FoodEx2Tome Eftimov, Peter Korošec, Barbara Koroušić SeljakBioinformatics Advances|January 16, 2026
Prompt-to-Pill: Multi-Agent Drug Discovery and Clinical Simulation PipelineIvana Vichentijevikj, Kostadin Mishev, Monika Simjanoska MishevaFrontiers in Nutrition|April 10, 2024
NutriGreen image dataset: a collection of annotated nutrition, organic, and vegan food productsJan Drole, Igor Pravst, Tome Eftimov, et al.Pageof 4