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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)Mace: A flexible framework for membership privacy estimation in generative models., , , , , and . Trans. Mach. Learn. Res., (2022)Improving Lesion Detection by exploring bias on Skin Lesion dataset., , , , , , and . CoRR, (2020)Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss., , , , , , , , , and . Comput. Biol. Medicine, (May 2023)A pipeline for identification of bird and frog species in tropical soundscape recordings using a convolutional neural network., , , , , , and . Ecol. Informatics, (2020)