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Hybrid Ranking and Regression for Algorithm Selection.

, , , and . KI, volume 12325 of Lecture Notes in Computer Science, page 59-72. Springer, (2020)

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Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data., , , and . PAKDD (1), volume 12712 of Lecture Notes in Computer Science, page 152-163. Springer, (2021)Learning decision catalogues for situated decision making: The case of scoring systems., , , and . Int. J. Approx. Reason., (2024)Configuration and Evaluation, , , , , , and . (Jun 22, 2023)PyExperimenter: Easily distribute experiments and track results., , , , , , , and . CoRR, (2023)Probabilistic Scoring Lists for Interpretable Machine Learning., , and . DS, volume 14276 of Lecture Notes in Computer Science, page 189-203. Springer, (2023)Distributed Data Streams., , , , , and . Algorithms for Big Data, volume 13201 of Lecture Notes in Computer Science, Springer, (2022)HARRIS: Hybrid Ranking and Regression Forests for Algorithm Selection, , and . NeurIPS Workshop on Meta Learning (MetaLearn 2022), (2022)Hybrid Ranking and Regression for Algorithm Selection., , , and . KI, volume 12325 of Lecture Notes in Computer Science, page 59-72. Springer, (2020)Towards Green Automated Machine Learning: Status Quo and Future Directions., , , , , and . J. Artif. Intell. Res., (2023)Comparing Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain., , , , and . LWDA, volume 3630 of CEUR Workshop Proceedings, page 430-441. CEUR-WS.org, (2023)