1. PS-AAS : portfolio selection for automated algorithm selection in black-box optimizationAna Kostovska, Gjorgjina Cenikj, Diederick Vermetten, Anja Janković, Ana Nikolikj, Urban Škvorc, Peter Korošec, Carola Doerr, Tome Eftimov, 2023, published scientific conference contribution Keywords: automated algorithm selection, portfolio selection, black box optimization Published in DiRROS: 11.12.2023; Views: 406; Downloads: 154 Full text (1,90 MB) This document has many files! More... |
2. Sensitivity analysis of RF+clust for leave-one-problem-out performance predictionAna Nikolikj, Michal Pluhacek, Carola Doerr, Peter Korošec, Tome Eftimov, 2023, published scientific conference contribution Keywords: automated performance prediction, autoML, single-objective black-box optimization, zero-shot learning Published in DiRROS: 13.11.2023; Views: 419; Downloads: 237 Full text (4,94 MB) This document has many files! More... |
3. Algorithm instance footprint : separating easily solvable and challenging problem instancesAna Nikolikj, Sašo Džeroski, Mario Andrés Muñoz, Carola Doerr, Peter Korošec, Tome Eftimov, 2023, published scientific conference contribution Keywords: black-box optimization, algorithms, problem instances, machine learning Published in DiRROS: 15.09.2023; Views: 337; Downloads: 222 Full text (2,03 MB) This document has many files! More... |
4. Assessing the generalizability of a performance predictive modelAna Nikolikj, Gjorgjina Cenikj, Gordana Ispirova, Diederick Vermetten, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korošec, Tome Eftimov, 2023, published scientific conference contribution Keywords: algorithms, predictive models, machine learning Published in DiRROS: 15.09.2023; Views: 373; Downloads: 253 Full text (935,67 KB) This document has many files! More... |
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