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Large-Area, High Spatial Resolution Land Cover Mapping Using Random Forests, GEOBIA, and NAIP Orthophotography: Findings and Recommendations., , , , , and . Remote Sensing, 11 (12): 1409 (2019)Assessing the Generalization of Machine Learning-Based Slope Failure Prediction to New Geographic Extents., , , , , and . ISPRS Int. J. Geo Inf., 10 (5): 293 (2021)Effects of Training Set Size on Supervised Machine-Learning Land-Cover Classification of Large-Area High-Resolution Remotely Sensed Data., , , and . Remote. Sens., 13 (3): 368 (2021)Explainable Boosting Machines for Slope Failure Spatial Predictive Modeling., , and . Remote. Sens., 13 (24): 4991 (2021)Selecting and Interpreting Multiclass Loss and Accuracy Assessment Metrics for Classifications with Class Imbalance: Guidance and Best Practices., , and . Remote. Sens., 16 (3): 533 (February 2024)Mapping the Topographic Features of Mining-Related Valley Fills Using Mask R-CNN Deep Learning and Digital Elevation Data., , and . Remote. Sens., 12 (3): 547 (2020)Accuracy Assessment in Convolutional Neural Network-Based Deep Learning Remote Sensing Studies - Part 1: Literature Review., , and . Remote. Sens., 13 (13): 2450 (2021)Thematic Classification Accuracy Assessment with Inherently Uncertain Boundaries: An Argument for Center-Weighted Accuracy Assessment Metrics., and . Remote. Sens., 12 (12): 1905 (2020)Synthetic Forest Stands and Point Clouds for Model Selection and Feature Space Comparison., , , , , and . Remote. Sens., 15 (18): 4407 (September 2023)Accuracy Assessment in Convolutional Neural Network-Based Deep Learning Remote Sensing Studies - Part 2: Recommendations and Best Practices., , and . Remote. Sens., 13 (13): 2591 (2021)