Pasupa, K., Vatathanavaro, S., & Tungjitnob, S. (2020). Convolutional Neural Networks based Focal Loss for Class Imbalance Problem: A Case Study of Canine Red Blood Cells Morphology Classification.
Chicago-Zitierstil (17. Ausg.)Pasupa, Kitsuchart, Supawit Vatathanavaro, und Suchat Tungjitnob. Convolutional Neural Networks Based Focal Loss for Class Imbalance Problem: A Case Study of Canine Red Blood Cells Morphology Classification. 2020.
MLA-Zitierstil (9. Ausg.)Pasupa, Kitsuchart, et al. Convolutional Neural Networks Based Focal Loss for Class Imbalance Problem: A Case Study of Canine Red Blood Cells Morphology Classification. 2020.
Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.