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Automated Discovery of Anomalous Features in Ultralarge Planetary Remote-Sensing Datasets Using Variational Autoencoders., , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2024)Unsupervised Distribution Learning for Lunar Surface Anomaly Detection., , and . CoRR, (2020)Automated Detection of Lunar Rockfalls Using a Convolutional Neural Network., , , , and . IEEE Trans. Geosci. Remote. Sens., 57 (6): 3501-3511 (2019)Global mapping of fragmented rocks on the Moon with a neural network: Implications for the failure mode of rocks on airless surfaces., and . CoRR, (2023)Quantitative Assessment of Digital Image Correlation Methods to Detect and Monitor Surface Displacements of Large Slope Instabilities., , and . Remote Sensing, 10 (6): 865 (2018)Deep Learning-Driven Detection and Mapping of Rockfalls on Mars., , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2020)Using Machine Learning to Reduce Observational Biases When Detecting New Impacts on Mars., , , , , , , and . CoRR, (2022)Scientific exploration of challenging planetary analog environments with a team of legged robots., , , , , , , , , and 1 other author(s). Sci. Robotics, (July 2023)Traversing Steep and Granular Martian Analog Slopes With a Dynamic Quadrupedal Robot., , , , , , , and . CoRR, (2021)Traversing Steep and Granular Martian Analog Slopes With a Dynamic Quadrupedal Robot., , , , , , , and . Field Robotics, 2 (1): 910-939 (March 2022)