Conformal deep forest for uncertainty-aware classification
Abstract Uncertainty in deep learning models significantly impacts their performance, robustness, and reliability, making explicit uncertainty quantification a critical research focus. However, existing methods often fail to incorporate relationships between classes into uncertainty quantification,...
| Published in: | Journal of King Saud University: Computer and Information Sciences |
|---|---|
| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-08-01
|
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44443-025-00175-3 |