1. Review on COVID-19 diagnosis models based on machine learning and deep learning approaches;Alyasseri;Expert Systems,2022
2. Class imbalance and active learning;Attenberg;Imbalanced Learning: Foundations, Algorithms, and Applications,2013
3. Effective evaluation of deep active learning on image classification tasks;Beck,2021
4. Brinker, Klaus (2003). Incorporating diversity in active learning with support vector machines. In Proceedings of the 20th international conference on machine learning (pp. 59–66).
5. Active learning for deep object detection;Brust,2018