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Monitoring Forest Health Using Hyperspectral Imagery: Does Feature Selection Improve the Performance of Machine-Learning Techniques?, , , , , and . Remote. Sens., 13 (23): 4832 (2021)Improved Outcome Prediction Across Data Sources Through Robust Parameter Tuning., , , , and . J. Classif., 38 (2): 212-231 (2021)Time series anomaly detection based on shapelet learning., , , , and . Comput. Stat., 34 (3): 945-976 (2019)Structured Verification of Machine Learning Models in Industrial Settings., , , , and . Big Data, 11 (3): 181-198 (June 2023)Semi-Structured Deep Piecewise Exponential Models., , , , , and . SPACA, volume 146 of Proceedings of Machine Learning Research, page 40-53. PMLR, (2021)Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features., , , , , , , and . FOGA, page 129-139. ACM, (2023)YAHPO Gym - An Efficient Multi-Objective Multi-Fidelity Benchmark for Hyperparameter Optimization., , , , and . AutoML, volume 188 of Proceedings of Machine Learning Research, page 3/1-39. PMLR, (2022)Tackling Neural Architecture Search With Quality Diversity Optimization., , , , , and . AutoML, volume 188 of Proceedings of Machine Learning Research, page 9/1-30. PMLR, (2022)Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process., , , , , , , and . xAI (1), volume 1901 of Communications in Computer and Information Science, page 456-479. Springer, (2023)Benchmarking local classification methods., , and . Comput. Stat., 28 (6): 2599-2619 (2013)