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Let practice what we preach: Turning tables into graphs

, , and . The American Statistician, 56 (2): 121-130 (2005)

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Let's practice what we preach: turning tables into graphs, , and . Amer. Statist., 56 (2): 121--130 (2002)Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery., , , , , and . CoRR, (2024)Multispecies bioacoustic classification using transfer learning of deep convolutional neural networks with pseudo-labeling, , , , , , and . Applied Acoustics, (2020)Navigating the Web of Misinformation: A Framework for Misinformation Domain Detection Using Browser Traffic., , , , , and . CoRR, (2023)Weak Labeling for Cropland Mapping in Africa., , , , , , and . CoRR, (2024)Fast building segmentation from satellite imagery and few local labels., , , , , , , and . CVPR Workshops, page 1462-1470. IEEE, (2022)Dwelling Type Classification for Disaster Risk Assessment Using Satellite Imagery., , , , , , and . CoRR, (2022)Defending Democracy: Using Deep Learning to Identify and Prevent Misinformation., , , , , , , , , and . CoRR, (2021)Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery., , , , , , , , and . CoRR, (2024)On the Deployment of Post-Disaster Building Damage Assessment Tools using Satellite Imagery: A Deep Learning Approach., , , , , , , and . ICDM (Workshops), page 1029-1036. IEEE, (2022)