Exploring a standardized language for describing foods using embedding techniques. - Gorjan Popovski; Bibek Paudel; Tome Eftimov; Barbara Korousic-Seljak (IEEE BigData, 2019)

FoodOntoMap: Linking Food Concepts across Different Food Ontologies. - Gorjan Popovski; Barbara Korousic-Seljak; Tome Eftimov (KEOD, 2019)

FoodOntoMapV2: Food Concepts Normalization Across Food Ontologies. - Gorjan Popovski; Barbara Korousic-Seljak; Tome Eftimov (IC3K, 2019)

FoodIE: A Rule-based Named-entity Recognition Method for Food Information Extraction. - Gorjan Popovski; Stefan Kochev; Barbara Korousic-Seljak; Tome Eftimov (ICPRAM, 2019)

FoodBase corpus: a new resource of annotated food entities. - Gorjan Popovski; Barbara Korousic-Seljak; Tome Eftimov (Database J. Biol. Databases Curation, 2019)

BuTTER: BidirecTional LSTM for Food Named-Entity Recognition. - Gjorgjina Cenikj; Gorjan Popovski; Riste Stojanov; Barbara Korousic-Seljak; Tome Eftimov (IEEE BigData, 2020)

Toward Robust Food Ontology Mapping. - Riste Stojanov; Ilija Kocev; Sasho Gramatikov; Gorjan Popovski; Barbara Korousic-Seljak; Tome Eftimov (IEEE BigData, 2020)

Food Data Normalization Using Lexical and Semantic Similarities Heuristics. - Gordana Ispirova; Gorjan Popovski; Eva Valencic; Nina Hadzi-Kotarova; Tome Eftimov; Barbara Korousic-Seljak (BIOSTEC (Selected Papers), 2020)

Food Data Integration by using Heuristics based on Lexical and Semantic Similarities. - Gorjan Popovski; Gordana Ispirova; Nina Hadzi-Kotarova; Eva Valencic; Tome Eftimov; Barbara Korousic-Seljak (HEALTHINF, 2020)

PerformViz: a machine learning approach to visualize and understand the performance of single-objective optimization algorithms. - Tome Eftimov; Rok Hribar; Urban Skvorc; Gorjan Popovski; Gasper Petelin; Peter Korosec (GECCO Companion, 2020)

Deep statistics: more robust performance statistics for single-objective optimization benchmarking. - Tome Eftimov; Gasper Petelin; Rok Hribar; Gorjan Popovski; Urban Skvorc; Peter Korosec (GECCO Companion, 2020)

Performance2vec: a step further in explainable stochastic optimization algorithm performance. - Tome Eftimov; Gorjan Popovski; Dragi Kocev; Peter Korosec (GECCO Companion, 2020)

An Insight into Food Semantics: Review, Analysis, and Lessons Learnt over Food-Related Studies (short paper). - Gorjan Popovski; Gordana Ispirova; Eva Valencic; Riste Stojanov; Tome Eftimov; Barbara Korousic-Seljak (ICBO/ODLS, 2020)

FoodViz: Visualization of Food Entities Linked Across Different Standards. - Riste Stojanov; Gorjan Popovski; Nasi Jofce; Dimitar Trajanov; Barbara Korousic-Seljak; Tome Eftimov (LOD (2), 2020)

Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes. - Tome Eftimov; Gorjan Popovski; Quentin Renau; Peter Korosec; Carola Doerr (SSCI, 2020)

A Survey of Named-Entity Recognition Methods for Food Information Extraction. - Gorjan Popovski; Barbara Korousic-Seljak; Tome Eftimov (IEEE Access, 2020)

Personalizing performance regression models to black-box optimization problems. - Tome Eftimov; Anja Jankovic 001; Gorjan Popovski; Carola Doerr; Peter Korosec (GECCO, 2021)

The impact of hyper-parameter tuning for landscape-aware performance regression and algorithm selection. - Anja Jankovic 001; Gorjan Popovski; Tome Eftimov; Carola Doerr (GECCO, 2021)

A Framework for Evaluating Personalized Ranking Systems by Fusing Different Evaluation Measures. - Tome Eftimov; Bibek Paudel; Gorjan Popovski; Dragi Kocev (Big Data Res., 2021)