"Uncertainty Estimates as Data Selection Criteria to Boost Omni-Supervised ..."

Lorenzo Venturini et al. (2020)

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DOI: 10.1007/978-3-030-59710-8_67

access: closed

type: Conference or Workshop Paper

metadata version: 2022-10-02

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Lorenzo Venturini, Aris T. Papageorghiou, J. Alison Noble, Ana I. L. Namburete:
Uncertainty Estimates as Data Selection Criteria to Boost Omni-Supervised Learning. MICCAI (1) 2020: 689-698

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