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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)Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process., , , , , and . CoRR, (2021)Towards modelling hazard factors in unstructured data spaces using gradient-based latent interpolation., , , and . CoRR, (2021)Decomposing Global Feature Effects Based on Feature Interactions., , and . CoRR, (2023)Unreading Race: Purging Protected Features from Chest X-ray Embeddings., , , and . CoRR, (2023)Learning Multiple Defaults for Machine Learning Algorithms., , , , and . CoRR, (2018)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)Representation Learning for Tablet and Paper Domain Adaptation in Favor of Online Handwriting Recognition., , , , and . CoRR, (2023)