| Semantic description of data mining datasets: An ontology-based annotation schema A Kostovska, S Džeroski, P Panov Discovery Science: 23rd International Conference, DS 2020, Thessaloniki …, 2020 | 6 | 2020 |
| Per-run algorithm selection with warm-starting using trajectory-based features A Kostovska, A Jankovic, D Vermetten, J de Nobel, H Wang, T Eftimov, ... Parallel Problem Solving from Nature–PPSN XVII: 17th International …, 2022 | 5 | 2022 |
| Neurodegenerative disease data ontology A Kostovska, I Tolovski, F Maikore, ... Discovery Science: 22nd International Conference, DS 2019, Split, Croatia …, 2019 | 5 | 2019 |
| OPTION: optimization algorithm benchmarking ontology A Kostovska, D Vermetten, C Doerr, S Džeroski, P Panov, T Eftimov Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021 | 4 | 2021 |
| Less is more: Selecting the right benchmarking set of data for time series classification T Eftimov, G Petelin, G Cenikj, A Kostovska, G Ispirova, P Korošec, ... Expert Systems with Applications 198, 116871, 2022 | 3 | 2022 |
| Aitlas: Artificial intelligence toolbox for earth observation I Dimitrovski, I Kitanovski, P Panov, A Kostovska, N Simidjievski, D Kocev Remote Sensing 15 (9), 2343, 2023 | 2 | 2023 |
| Explainable Model-specific Algorithm Selection for Multi-Label Classification A Kostovska, C Doerr, S Džeroski, D Kocev, P Panov, T Eftimov arXiv preprint arXiv:2211.11227, 2022 | 2 | 2022 |
| Trajectory-based algorithm selection with warm-starting A Jankovic, D Vermetten, A Kostovska, J de Nobel, T Eftimov, C Doerr 2022 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2022 | 2 | 2022 |
| The importance of landscape features for performance prediction of modular CMA-ES variants A Kostovska, D Vermetten, S Džeroski, C Doerr, P Korosec, T Eftimov Proceedings of the Genetic and Evolutionary Computation Conference, 648-656, 2022 | 2 | 2022 |
| A catalogue with semantic annotations makes multilabel datasets FAIR A Kostovska, J Bogatinovski, S Džeroski, D Kocev, P Panov Scientific Reports 12 (1), 7267, 2022 | 2 | 2022 |
| Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms A Kostovska, D Vermetten, S Džeroski, P Panov, T Eftimov, C Doerr Applications of Evolutionary Computation: 26th European Conference …, 2023 | 1 | 2023 |
| Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge & The Discovery Challenge Workshop at ECML PKDD 2021 D Kocev, N Simidjievski, A Kostovska, I Dimitrovski, Ž Kokalj arXiv preprint arXiv:2208.03163, 2022 | 1 | 2022 |
| Machine-learning ready data on the thermal power consumption of the Mars Express Spacecraft M Petković, L Lucas, J Levatić, M Breskvar, T Stepišnik, A Kostovska, ... Scientific Data 9 (1), 229, 2022 | 1 | 2022 |
| GalaxAI: Machine learning toolbox for interpretable analysis of spacecraft telemetry data A Kostovska, M Petković, T Stepišnik, L Lucas, T Finn, J Martínez-Heras, ... 2021 IEEE 8th International Conference on Space Mission Challenges for …, 2021 | 1 | 2021 |
| FAIRification of MLC data A Kostovska, J Bogatinovski, A Treven, S Džeroski, D Kocev, P Panov arXiv preprint arXiv:2211.12757, 2022 | | 2022 |
| Towards reusable process-based models of dynamical systems: A case study in the domain of aquatic ecosystems I Tolovski, A Kostovska, N Simidjievski, L Todorovski, S Džeroski, P Panov 2019 42nd International Convention on Information and Communication …, 2019 | | 2019 |
| Designing, Populating and Querying Repositories of Semantically Annotated Datasets: Master Thesis A Kostovska A. Kostovska, 2019 | | 2019 |
| How representative is your problem benchmark landscape? A case study on multi-class classification of time-series T Eftimov, G Petelin, G Cenikj, A Kostovska, G Ispirova, P Korošec, ... | | |
| Towards a semantic repository of data mining and machine learning datasets A Kostovska, S Džeroski, P Panov | | |
