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PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization2023 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access
Ana Kostovska, Gjorgjina Cenikj, Diederick Vermetten, Anja Jankovič, Ana Nikolikj, Urban Škvorc, +3 more
1citations -
Per-run Algorithm Selection with Warm-starting using Trajectory-based Features2022 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access
Ana Kostovska, Anja Jankovič, Diederick Vermetten, Jacob de Nobel, Hao Wang, Tome Eftimov, +1 more
2citations -
Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning Strategies are not Better than Random Selection2023 arXiv (Cornell University) preprint Computer Science Information Retrieval and Search Behavior Open access
Sophia Althammer, Guido Zuccon, Sebastian Hofstätter, Suzan Verberne, Allan Hanbury
0citations -
Selection of Filters for Photonic Crystal Spectrometer Using Domain-Aware Evolutionary Algorithms2024 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access
Kirill Antonov, Marijn E. Siemons, Bas van Stein, Thomas Bäck, Ralf Kohlhaas, Anna V. Kononova
1citations -
Optimally Weighted Ensembles of Regression Models: Exact Weight Optimization and Applications2022 arXiv (Cornell University) preprint Computer Science Machine Learning and Data Classification Open access
Patrick Echtenbruck, Martina Echtenbruck, Joost Batenburg, Thomas Bäck, Boris Naujoks, Michael Emmerich
1citations