| 2021 | GECCO | Personalizing performance regression models to black-box optimization problems. | Tome Eftimov, Anja Jankovic, Gorjan Popovski, Carola Doerr, Peter Korosec |
| 2021 | GECCO | The impact of hyper-parameter tuning for landscape-aware performance regression and algorithm selection. | Anja Jankovic, Gorjan Popovski, Tome Eftimov, Carola Doerr |
| 2020 | GECCO | 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 |
| 2020 | GECCO | Deep statistics: more robust performance statistics for single-objective optimization benchmarking. | Tome Eftimov, Gasper Petelin, Rok Hribar, Gorjan Popovski, Urban Skvorc, Peter Korosec |
| 2020 | GECCO | Performance2vec: a step further in explainable stochastic optimization algorithm performance. | Tome Eftimov, Gorjan Popovski, Dragi Kocev, Peter Korosec |
| 2019 | IC3K | FoodOntoMap: Linking Food Concepts across Different Food Ontologies. | Gorjan Popovski, Barbara Korousic-Seljak, Tome Eftimov |
| 2019 | IC3K | FoodOntoMapV2: Food Concepts Normalization Across Food Ontologies. | Gorjan Popovski, Barbara Korousic-Seljak, Tome Eftimov |
| 2019 | ICPRAM | FoodIE: A Rule-based Named-entity Recognition Method for Food Information Extraction. | Gorjan Popovski, Stefan Kochev, Barbara Korousic-Seljak, Tome Eftimov |