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Comparing Algorithm Selection Approaches on Black-Box Optimization Problems.

, , , , , and . GECCO Companion, page 495-498. ACM, (2023)

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Semantic Description of Data Mining Datasets: An Ontology-Based Annotation Schema., , and . DS, volume 12323 of Lecture Notes in Computer Science, page 140-155. Springer, (2020)Learning Surrogates of a Radiative Transfer Model for the Sentinel 5P Satellite., , , , and . DS, volume 12323 of Lecture Notes in Computer Science, page 217-230. Springer, (2020)Speeding-Up Hoeffding-Based Regression Trees With Options., , , and . ICML, page 537-544. Omnipress, (2011)Discovering the most important factors for communities of soil microarthropods using machine learning., , , and . EnviroInfo (1), page 194-204. Editions du Tricorne, Geneva, (2004)Predicting Aggregate Properties of Soil Communities vs. Community Structure in an Agricultural Setting., , , and . EnviroInfo, page 295-302. Shaker Verlag, Aachen, (2006)Using Decision Trees to Predict Forest Stand Height and Canopy Cover from LANDSAT and LIDAR Data., , , and . EnviroInfo, page 125-133. Shaker Verlag, Aachen, (2006)Experiments In Predicting Biodegradability., , , , , and . Appl. Artif. Intell., 18 (2): 157-181 (2004)Learning to Classify Structures in ALS-Derived Visualizations of Ancient Maya Settlements with CNN., , and . Remote. Sens., 12 (14): 2215 (2020)Two stage architecture for multi-label learning., , and . Pattern Recognit., 45 (3): 1019-1034 (2012)Fast and efficient visual codebook construction for multi-label annotation using predictive clustering trees., , , and . Pattern Recognit. Lett., (2014)