Picture for Ana Kostovska

Ana Kostovska

Quantifying Individual and Joint Module Impact in Modular Optimization Frameworks

Add code
May 20, 2024
Viaarxiv icon

Generalization Ability of Feature-based Performance Prediction Models: A Statistical Analysis across Benchmarks

Add code
May 20, 2024
Viaarxiv icon

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

Add code
Oct 14, 2023
Figure 1 for PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization
Figure 2 for PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization
Figure 3 for PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization
Figure 4 for PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization
Viaarxiv icon

Comparing Algorithm Selection Approaches on Black-Box Optimization Problems

Add code
Jun 30, 2023
Viaarxiv icon

Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms

Add code
Jan 24, 2023
Viaarxiv icon

FAIRification of MLC data

Add code
Nov 23, 2022
Viaarxiv icon

Explainable Model-specific Algorithm Selection for Multi-Label Classification

Add code
Nov 21, 2022
Viaarxiv icon

OPTION: OPTImization Algorithm Benchmarking ONtology

Add code
Nov 21, 2022
Viaarxiv icon

Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge & The Discovery Challenge Workshop at ECML PKDD 2021

Add code
Aug 09, 2022
Figure 1 for Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge & The Discovery Challenge Workshop at ECML PKDD 2021
Figure 2 for Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge & The Discovery Challenge Workshop at ECML PKDD 2021
Figure 3 for Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge & The Discovery Challenge Workshop at ECML PKDD 2021
Figure 4 for Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge & The Discovery Challenge Workshop at ECML PKDD 2021
Viaarxiv icon

Per-run Algorithm Selection with Warm-starting using Trajectory-based Features

Add code
Apr 20, 2022
Figure 1 for Per-run Algorithm Selection with Warm-starting using Trajectory-based Features
Figure 2 for Per-run Algorithm Selection with Warm-starting using Trajectory-based Features
Figure 3 for Per-run Algorithm Selection with Warm-starting using Trajectory-based Features
Figure 4 for Per-run Algorithm Selection with Warm-starting using Trajectory-based Features
Viaarxiv icon