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2020 – today
- 2024
[j4]Bozhidar Stevanoski, Ana Kostovska, Pance Panov, Saso Dzeroski:
Change detection and adaptation in multi-target regression on data streams. Mach. Learn. 113(11): 8585-8622 (2024)- [c13]Ana Nikolikj, Ana Kostovska, Gjorgjina Cenikj, Carola Doerr, Tome Eftimov:
Generalization Ability of Feature-Based Performance Prediction Models: A Statistical Analysis Across Benchmarks. CEC 2024: 1-8 - [c12]Ana Nikolikj, Ana Kostovska, Diederick Vermetten, Carola Doerr, Tome Eftimov:
Quantifying Individual and Joint Module Impact in Modular Optimization Frameworks. CEC 2024: 1-8 - [i15]Ana Nikolikj, Ana Kostovska, Diederick Vermetten, Carola Doerr, Tome Eftimov:
Quantifying Individual and Joint Module Impact in Modular Optimization Frameworks. CoRR abs/2405.11964 (2024) - [i14]Ana Nikolikj, Ana Kostovska, Gjorgjina Cenikj, Carola Doerr, Tome Eftimov:
Generalization Ability of Feature-based Performance Prediction Models: A Statistical Analysis across Benchmarks. CoRR abs/2405.12259 (2024) - 2023
- [j3]Ivica Dimitrovski
, Ivan Kitanovski, Pance Panov, Ana Kostovska, Nikola Simidjievski, Dragi Kocev:
AiTLAS: Artificial Intelligence Toolbox for Earth Observation. Remote. Sens. 15(9): 2343 (2023) - [j2]Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov:
OPTION: OPTImization Algorithm Benchmarking ONtology. IEEE Trans. Evol. Comput. 27(6): 1618-1632 (2023) - [c11]Ana Kostovska, Gjorgjina Cenikj, Diederick Vermetten, Anja Jankovic, Ana Nikolikj, Urban Skvorc, Peter Korosec, Carola Doerr, Tome Eftimov:
PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization. AutoML 2023: 11/1-17 - [c10]Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Pance Panov, Tome Eftimov, Carola Doerr:
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms. EvoApplications@EvoStar 2023: 253-268 - [c9]Ana Kostovska, Anja Jankovic, Diederick Vermetten, Saso Dzeroski, Tome Eftimov, Carola Doerr:
Comparing Algorithm Selection Approaches on Black-Box Optimization Problems. GECCO Companion 2023: 495-498 - [i13]Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Pance Panov, Tome Eftimov, Carola Doerr:
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms. CoRR abs/2301.09876 (2023) - [i12]Ana Kostovska, Anja Jankovic, Diederick Vermetten, Saso Dzeroski, Tome Eftimov, Carola Doerr:
Comparing Algorithm Selection Approaches on Black-Box Optimization Problems. CoRR abs/2306.17585 (2023) - [i11]Ana Kostovska, Gjorgjina Cenikj, Diederick Vermetten, Anja Jankovic, Ana Nikolikj, Urban Skvorc, Peter Korosec, Carola Doerr, Tome Eftimov:
PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization. CoRR abs/2310.10685 (2023) - [i10]Saso Dzeroski, Holger H. Hoos, Bertrand Le Saux, Leendert van der Torre, Ana Kostovska:
Space and Artificial Intelligence (Dagstuhl Seminar 23461). Dagstuhl Reports 13(11): 72-102 (2023) - 2022
- [j1]Tome Eftimov, Gasper Petelin, Gjorgjina Cenikj, Ana Kostovska, Gordana Ispirova, Peter Korosec, Jasmin Bogatinovski:
Less is more: Selecting the right benchmarking set of data for time series classification. Expert Syst. Appl. 198: 116871 (2022) - [c8]Anja Jankovic, Diederick Vermetten, Ana Kostovska, Jacob de Nobel, Tome Eftimov, Carola Doerr:
Trajectory-based Algorithm Selection with Warm-starting. CEC 2022: 1-8 - [c7]Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Carola Doerr, Peter Korosec, Tome Eftimov:
The importance of landscape features for performance prediction of modular CMA-ES variants. GECCO 2022: 648-656 - [c6]Ana Kostovska, Anja Jankovic, Diederick Vermetten, Jacob de Nobel, Hao Wang, Tome Eftimov, Carola Doerr:
Per-run Algorithm Selection with Warm-Starting Using Trajectory-Based Features. PPSN (1) 2022: 46-60 - [c5]Ana Kostovska, Carola Doerr, Saso Dzeroski, Dragi Kocev, Pance Panov, Tome Eftimov:
Explainable Model-specific Algorithm Selection for Multi-Label Classification. SSCI 2022: 39-46 - [d2]Anja Jankovic, Ana Kostovska, Diederick Vermetten, Jacob de Nobel, Hao Wang, Tome Eftimov, Carola Doerr:
Per-Run Algorithm Selection with Warm-starting using Trajectory-based Features - Data. Zenodo, 2022
- [d1]Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Carola Doerr, Peter Korosec, Tome Eftimov:
Linking Problem Landscape Features with the Performance of Individual CMA-ES Modules - Data. Zenodo, 2022 - [i9]Anja Jankovic, Diederick Vermetten, Ana Kostovska, Jacob de Nobel, Tome Eftimov, Carola Doerr:
Trajectory-based Algorithm Selection with Warm-starting. CoRR abs/2204.06397 (2022) - [i8]Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Carola Doerr, Peter Korosec, Tome Eftimov:
The Importance of Landscape Features for Performance Prediction of Modular CMA-ES Variants. CoRR abs/2204.07431 (2022) - [i7]Ana Kostovska, Anja Jankovic, Diederick Vermetten, Jacob de Nobel, Hao Wang, Tome Eftimov, Carola Doerr:
Per-run Algorithm Selection with Warm-starting using Trajectory-based Features. CoRR abs/2204.09483 (2022) - [i6]Dragi Kocev, Nikola Simidjievski, Ana Kostovska, Ivica Dimitrovski, Ziga Kokalj:
Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge & The Discovery Challenge Workshop at ECML PKDD 2021. CoRR abs/2208.03163 (2022) - [i5]Ana Kostovska, Carola Doerr, Saso Dzeroski, Dragi Kocev, Pance Panov, Tome Eftimov:
Explainable Model-specific Algorithm Selection for Multi-Label Classification. CoRR abs/2211.11227 (2022) - [i4]Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov:
OPTION: OPTImization Algorithm Benchmarking ONtology. CoRR abs/2211.11332 (2022) - [i3]Ana Kostovska, Jasmin Bogatinovski, Andrej Treven, Saso Dzeroski, Dragi Kocev, Pance Panov:
FAIRification of MLC data. CoRR abs/2211.12757 (2022) - 2021
- [c4]Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov:
OPTION: optimization algorithm benchmarking ontology. GECCO Companion 2021: 239-240 - [i2]Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov:
OPTION: OPTImization Algorithm Benchmarking ONtology. CoRR abs/2104.11889 (2021) - [i1]Ana Kostovska, Matej Petkovic, Tomaz Stepisnik, Luke Lucas, Timothy Finn, José Antonio Martínez Heras, Pance Panov, Saso Dzeroski, Alessandro Donati, Nikola Simidjievski, Dragi Kocev:
GalaxAI: Machine learning toolbox for interpretable analysis of spacecraft telemetry data. CoRR abs/2108.01407 (2021) - 2020
- [c3]Ana Kostovska, Saso Dzeroski, Pance Panov:
Semantic Description of Data Mining Datasets: An Ontology-Based Annotation Schema. DS 2020: 140-155
2010 – 2019
- 2019
- [c2]Ana Kostovska, Ilin Tolovski, Fatima S. Maikore, Larisa N. Soldatova, Pance Panov:
Neurodegenerative Disease Data Ontology. DS 2019: 235-245 - [c1]Ilin Tolovski, Ana Kostovska, Nikola Simidjievski, Ljupco Todorovski, Saso Dzeroski, Pance Panov:
Towards reusable process-based models of dynamical systems: A case study in the domain of aquatic ecosystems. MIPRO 2019: 1110-1115
Coauthor Index
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