Evidential deep regression on manuscript images achieves 5.4-year mean absolute error in dating with superior uncertainty calibration compared to dropout and ensembles.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
CBAM-augmented EfficientNet-B3 with evidential deep learning classifies wildfire smoke severity into three levels on 16k satellite patches, reports 93.8% weighted accuracy, and decomposes epistemic and aleatoric uncertainty without Monte Carlo sampling.
citing papers explorer
-
Uncertainty-Aware Wildfire Smoke Density Classification from Satellite Imagery via CBAM-Augmented EfficientNet with Evidential Deep Learning
CBAM-augmented EfficientNet-B3 with evidential deep learning classifies wildfire smoke severity into three levels on 16k satellite patches, reports 93.8% weighted accuracy, and decomposes epistemic and aleatoric uncertainty without Monte Carlo sampling.