Venturini, L., Papageorghiou, A., Noble, J., & Namburete, A. (2020). Uncertainty estimates as data selection criteria to boost omni-supervised learning. Springer Nature.
芝加哥风格引文Venturini, L., AT Papageorghiou, JA Noble, 与 AIL Namburete. Uncertainty Estimates as Data Selection Criteria to Boost Omni-supervised Learning. Springer Nature, 2020.
MLA引文Venturini, L., et al. Uncertainty Estimates as Data Selection Criteria to Boost Omni-supervised Learning. Springer Nature, 2020.
警告：这些引文格式不一定是100％准确.