Ana Kostovska

According to our database, Ana Kostovska authored at least 21 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Quantifying Individual and Joint Module Impact in Modular Optimization Frameworks.

Ana Nikolikj, Ana Kostovska, Diederick Vermetten, Carola Doerr, Tome Eftimov

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Generalization Ability of Feature-Based Performance Prediction Models: A Statistical Analysis Across Benchmarks.

Ana Nikolikj, Ana Kostovska, Gjorgjina Cenikj, Carola Doerr, Tome Eftimov

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023

OPTION: OPTImization Algorithm Benchmarking ONtology.

Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov

IEEE Trans. Evol. Comput., December, 2023

AiTLAS: Artificial Intelligence Toolbox for Earth Observation.

Ivica Dimitrovski, Ivan Kitanovski, Pance Panov, Ana Kostovska, Nikola Simidjievski, Dragi Kocev

Remote. Sens., May, 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

Comparing Algorithm Selection Approaches on Black-Box Optimization Problems.

Ana Kostovska, Anja Jankovic, Diederick Vermetten, Saso Dzeroski, Tome Eftimov, Carola Doerr

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms.

Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Pance Panov, Tome Eftimov, Carola Doerr

Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization.

Ana Kostovska, Gjorgjina Cenikj, Diederick Vermetten, Anja Jankovic, Ana Nikolikj, Urban Skvorc, Peter Korosec, Carola Doerr, Tome Eftimov

Proceedings of the International Conference on Automated Machine Learning, 2023

2022

Per-Run Algorithm Selection with Warm-starting using Trajectory-based Features - Data.

Anja Jankovic, Ana Kostovska, Diederick Vermetten, Jacob de Nobel, Hao Wang, Tome Eftimov, Carola Doerr

Dataset, April, 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

Dataset, February, 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

FAIRification of MLC data.

Ana Kostovska, Jasmin Bogatinovski, Andrej Treven, Saso Dzeroski, Dragi Kocev, Pance Panov

CoRR, 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

Explainable Model-specific Algorithm Selection for Multi-Label Classification.

Ana Kostovska, Carola Doerr, Saso Dzeroski, Dragi Kocev, Pance Panov, Tome Eftimov

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Per-run Algorithm Selection with Warm-Starting Using Trajectory-Based Features.

Ana Kostovska, Anja Jankovic, Diederick Vermetten, Jacob de Nobel, Hao Wang, Tome Eftimov, Carola Doerr

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 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

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Trajectory-based Algorithm Selection with Warm-starting.

Anja Jankovic, Diederick Vermetten, Ana Kostovska, Jacob de Nobel, Tome Eftimov, Carola Doerr

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021

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

2020

Semantic Description of Data Mining Datasets: An Ontology-Based Annotation Schema.

Ana Kostovska, Saso Dzeroski, Pance Panov

Proceedings of the Discovery Science - 23rd International Conference, 2020

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

Proceedings of the 42nd International Convention on Information and Communication Technology, 2019

Neurodegenerative Disease Data Ontology.

Ana Kostovska, Ilin Tolovski, Fatima S. Maikore, Larisa N. Soldatova, Pance Panov

Proceedings of the Discovery Science - 22nd International Conference, 2019