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Ana Kostovska
Ana Kostovska
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Per-run algorithm selection with warm-starting using trajectory-based features
A Kostovska, A Jankovic, D Vermetten, J de Nobel, H Wang, T Eftimov, ...
International Conference on Parallel Problem Solving from Nature, 46-60, 2022
352022
Neurodegenerative disease data ontology
A Kostovska, I Tolovski, F Maikore, ...
Discovery Science: 22nd International Conference, DS 2019, Split, Croatia …, 2019
102019
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
82022
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
82022
Comparing Algorithm Selection Approaches on Black-Box Optimization Problems
A Kostovska, A Jankovic, D Vermetten, S Džeroski, T Eftimov, C Doerr
Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023
72023
OPTION: optimization algorithm benchmarking ontology
A Kostovska, D Vermetten, C Doerr, S Džeroski, P Panov, E Tome
IEEE Transactions on Evolutionary Computation, 2022
72022
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
62023
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
62022
Semantic description of data mining datasets: An ontology-based annotation schema
A Kostovska, S Džeroski, P Panov
International Conference on Discovery Science, 140-155, 2020
62020
Using knowledge graphs for performance prediction of modular optimization algorithms
A Kostovska, D Vermetten, S Džeroski, P Panov, T Eftimov, C Doerr
International Conference on the Applications of Evolutionary Computation …, 2023
52023
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
52022
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
42021
Explainable Model-specific Algorithm Selection for Multi-Label Classification
A Kostovska, C Doerr, S Džeroski, D Kocev, P Panov, T Eftimov
2022 IEEE Symposium Series on Computational Intelligence (SSCI), 39-46, 2022
32022
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
32022
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
22022
FAIRification of MLC data
A Kostovska, J Bogatinovski, A Treven, S Džeroski, D Kocev, P Panov
arXiv preprint arXiv:2211.12757, 2022
12022
Generalization Ability of Feature-based Performance Prediction Models: A Statistical Analysis across Benchmarks
A Nikolikj, A Kostovska, G Cenikj, C Doerr, T Eftimov
arXiv preprint arXiv:2405.12259, 2024
2024
Quantifying Individual and Joint Module Impact in Modular Optimization Frameworks
A Nikolikj, A Kostovska, D Vermetten, C Doerr, T Eftimov
arXiv preprint arXiv:2405.11964, 2024
2024
Space and Artificial Intelligence (Dagstuhl Seminar 23461)
S Džeroski, HH Hoos, B Le Saux, L van der Torre, A Kostovska
Schloss Dagstuhl–Leibniz-Zentrum für Informatik, 2024
2024
PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization
A Kostovska, G Cenikj, D Vermetten, A Jankovic, A Nikolikj, U Skvorc, ...
International Conference on Automated Machine Learning, 11/1-17, 2023
2023
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