April 02, 2019 preprint Open access Measuring Calibration in Deep Learning arXiv (Cornell University) DOI: 10.48550/arxiv.1904.01685 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 145 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 Making sense of fossils and artefacts: a review of best practices for the design of a successful workflow for machine learning-assisted citizen science projects 2025 PeerJ article Computer Science Research Data Management Practices Open access 3 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 3 results References 0