June 06, 2019 preprint Open access Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift arXiv (Cornell University) DOI: 10.48550/arxiv.1906.02530 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 926 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Generalizable Deep Learning for the Detection of Incomplete and Complete Retinal Pigment Epithelium and Outer Retinal Atrophy: A MACUSTAR Report 2024 Translational Vision Science & Technology article Medicine Retinal Imaging and Analysis Open access 7 citations Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image Segmentation 2024 The Journal of Machine Learning for Biomedical Imaging article Computer Science Medical Image Segmentation Techniques Open access 2 citations Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image Segmentation 2023 preprint Computer Science Medical Image Segmentation Techniques Open access 0 citations Using Multiple Dermoscopic Photographs of One Lesion Improves Melanoma Classification via Deep Learning: A Prognostic Diagnostic Accuracy Study 2023 arXiv (Cornell University) preprint Medicine Cutaneous Melanoma Detection and Management Open access 0 citations 4 results References 0