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06/30/2023
Comparing Algorithm Selection Approaches on Black-Box Optimization Problems
Performance complementarity of solvers available to tackle black-box opt...
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01/24/2023
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms
Empirical data plays an important role in evolutionary computation resea...
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11/23/2022
FAIRification of MLC data
The multi-label classification (MLC) task has increasingly been receivin...
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11/21/2022
Explainable Model-specific Algorithm Selection for Multi-Label Classification
Multi-label classification (MLC) is an ML task of predictive modeling in...
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08/05/2022
Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge The Discovery Challenge Workshop at ECML PKDD 2021
The volume contains selected contributions from the Machine Learning Cha...
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04/20/2022
Per-run Algorithm Selection with Warm-starting using Trajectory-based Features
Per-instance algorithm selection seeks to recommend, for a given problem...
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04/15/2022
The Importance of Landscape Features for Performance Prediction of Modular CMA-ES Variants
Selecting the most suitable algorithm and determining its hyperparameter...
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04/13/2022
Trajectory-based Algorithm Selection with Warm-starting
Landscape-aware algorithm selection approaches have so far mostly been r...
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08/03/2021
GalaxAI: Machine learning toolbox for interpretable analysis of spacecraft telemetry data
We present GalaxAI - a versatile machine learning toolbox for efficient ...
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04/24/2021