APA (7th ed.) Citation

Venturini, L., Papageorghiou, A., Noble, J., & Namburete, A. (2020). Uncertainty estimates as data selection criteria to boost omni-supervised learning. Springer Nature.

Chicago Style (17th ed.) Citation

Venturini, L., AT Papageorghiou, JA Noble, and AIL Namburete. Uncertainty Estimates as Data Selection Criteria to Boost Omni-supervised Learning. Springer Nature, 2020.

MLA (9th ed.) Citation

Venturini, L., et al. Uncertainty Estimates as Data Selection Criteria to Boost Omni-supervised Learning. Springer Nature, 2020.