Venturini, L., Papageorghiou, A., Noble, J., & Namburete, A. (2020). Uncertainty estimates as data selection criteria to boost omni-supervised learning. Springer Nature.
Citace podle Chicago (17th ed.)Venturini, L., AT Papageorghiou, JA Noble, a AIL Namburete. Uncertainty Estimates as Data Selection Criteria to Boost Omni-supervised Learning. Springer Nature, 2020.
Citace podle MLA (9th ed.)Venturini, L., et al. Uncertainty Estimates as Data Selection Criteria to Boost Omni-supervised Learning. Springer Nature, 2020.
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