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• Kostovska, A., Vermetten, D., Korošec, P., Džeroski, S., Doerr, C., & Eftimov, T. (2024). Using Machine Learning Methods to Assess Module Performance Contribution in Modular Optimization Frameworks. Evolutionary Computation, 1-27.
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• Cenikj, G., Petelin, G., & Eftimov, T. (2024). A cross-benchmark examination of feature-based algorithm selector generalization in single-objective numerical optimization. Swarm and Evolutionary Computation, 87, 101534.
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• Ispirova, G., Eftimov, T., Džeroski, S., & Seljak, B. K. (2024). MsGEN: Measuring generalization of nutrient value prediction across different recipe datasets. Expert Systems with Applications, 237, 121507.WALL, David P., DELGADO, Antonio, O'SULLIVAN, Lilian, CREAMER, Rachel, TRAJANOV, Aneta, KUZMANOVSKI, Vladimir, HENRICKSEN, Christian B., DEBELJAK, Marko. A decision support model for assessing the water regulation and purification potential of agricultural soils across Europe. Frontiers in sustainable food systems. [in press] 2020, 15 str. ISSN 2571-581X. DOI: 10.3389/fsufs.2020.00115
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• Cenikj, G., Strojnik, L., Angelski, R., Ogrinc, N., Koroušić Seljak, B., & Eftimov, T. (2023). From language models to large-scale food and biomedical knowledge graphs. Scientific reports, 13(1), 7815.
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• Eftimov, T., & Korošec, P. (2022). Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms. Springer Nature.
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