Neurodegenerative Disease Data Ontology. - Ana Kostovska; Ilin Tolovski; Fatima S. Maikore; Larisa N. Soldatova; Pance Panov (DS, 2019)

Towards reusable process-based models of dynamical systems: A case study in the domain of aquatic ecosystems. - Ilin Tolovski; Ana Kostovska; Nikola Simidjievski; Ljupco Todorovski; Saso Dzeroski; Pance Panov (MIPRO, 2019)

Semantic Description of Data Mining Datasets: An Ontology-Based Annotation Schema. - Ana Kostovska; Saso Dzeroski; Pance Panov (DS, 2020)

GalaxAI: Machine learning toolbox for interpretable analysis of spacecraft telemetry data. - Ana Kostovska; Matej Petkovic; Tomaz Stepisnik; Luke Lucas; Timothy Finn; José Antonio Martínez Heras; Pance Panov; Saso Dzeroski; Alessandro Donati; Nikola Simidjievski; Dragi Kocev (CoRR, 2021)

Trajectory-based Algorithm Selection with Warm-starting. - Anja Jankovic 001; Diederick Vermetten; Ana Kostovska; Jacob de Nobel; Tome Eftimov; Carola Doerr (CEC, 2022)

The importance of landscape features for performance prediction of modular CMA-ES variants. - Ana Kostovska; Diederick Vermetten; Saso Dzeroski; Carola Doerr; Peter Korosec; Tome Eftimov (GECCO, 2022)

Per-run Algorithm Selection with Warm-Starting Using Trajectory-Based Features. - Ana Kostovska; Anja Jankovic 001; Diederick Vermetten; Jacob de Nobel; Hao Wang 025; Tome Eftimov; Carola Doerr (PPSN (1), 2022)

Explainable Model-specific Algorithm Selection for Multi-Label Classification. - Ana Kostovska; Carola Doerr; Saso Dzeroski; Dragi Kocev; Pance Panov; Tome Eftimov (SSCI, 2022)

Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge & The Discovery Challenge Workshop at ECML PKDD 2021. - Dragi Kocev; Nikola Simidjievski; Ana Kostovska; Ivica Dimitrovski; Ziga Kokalj (CoRR, 2022)

FAIRification of MLC data. - Ana Kostovska; Jasmin Bogatinovski; Andrej Treven; Saso Dzeroski; Dragi Kocev; Pance Panov (CoRR, 2022)

Less is more: Selecting the right benchmarking set of data for time series classification. - Tome Eftimov; Gasper Petelin; Gjorgjina Cenikj; Ana Kostovska; Gordana Ispirova; Peter Korosec; Jasmin Bogatinovski (Expert Syst. Appl., 2022)

Linking Problem Landscape Features with the Performance of Individual CMA-ES Modules - Data. - Ana Kostovska; Diederick Vermetten; Saso Dzeroski; Carola Doerr; Peter Korosec; Tome Eftimov (Zenodo, 2022)

Per-Run Algorithm Selection with Warm-starting using Trajectory-based Features - Data. - Anja Jankovic 001; Ana Kostovska; Diederick Vermetten; Jacob de Nobel; Hao Wang 025; Tome Eftimov; Carola Doerr (Zenodo, 2022)

PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization. - Ana Kostovska; Gjorgjina Cenikj; Diederick Vermetten; Anja Jankovic 001; Ana Nikolikj; Urban Skvorc; Peter Korosec; Carola Doerr; Tome Eftimov (AutoML, 2023)

Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms. - Ana Kostovska; Diederick Vermetten; Saso Dzeroski; Pance Panov; Tome Eftimov; Carola Doerr (EvoApplications@EvoStar, 2023)

Comparing Algorithm Selection Approaches on Black-Box Optimization Problems. - Ana Kostovska; Anja Jankovic 001; Diederick Vermetten; Saso Dzeroski; Tome Eftimov; Carola Doerr (GECCO Companion, 2023)

Space and Artificial Intelligence (Dagstuhl Seminar 23461). - Saso Dzeroski; Holger H. Hoos; Bertrand Le Saux; Leendert van der Torre; Ana Kostovska (Dagstuhl Reports, 2023)

AiTLAS: Artificial Intelligence Toolbox for Earth Observation. - Ivica Dimitrovski; Ivan Kitanovski; Pance Panov; Ana Kostovska; Nikola Simidjievski; Dragi Kocev (Remote. Sens., 2023)

OPTION: OPTImization Algorithm Benchmarking ONtology. - Ana Kostovska; Diederick Vermetten; Carola Doerr; Saso Dzeroski; Pance Panov; Tome Eftimov (IEEE Trans. Evol. Comput., 2023)

Generalization Ability of Feature-Based Performance Prediction Models: A Statistical Analysis Across Benchmarks. - Ana Nikolikj; Ana Kostovska; Gjorgjina Cenikj; Carola Doerr; Tome Eftimov (CEC, 2024)

Quantifying Individual and Joint Module Impact in Modular Optimization Frameworks. - Ana Nikolikj; Ana Kostovska; Diederick Vermetten; Carola Doerr; Tome Eftimov (CEC, 2024)

Change detection and adaptation in multi-target regression on data streams. - Bozhidar Stevanoski; Ana Kostovska; Pance Panov; Saso Dzeroski (Mach. Learn., 2024)

Comprehensive Evaluation of Regression and Classification Models on Brain Stroke Datasets. - Dimitar Trajkov; Ana Kostovska; Pance Panov; Dragi Kocev (BIOSTEC (2): HEALTHINF, 2025)

Geometric Learning in Black-Box Optimization: A GNN Framework for Algorithm Performance Prediction. - Ana Kostovska; Carola Doerr; Saso Dzeroski; Pance Panov; Tome Eftimov (CoRR, 2025)