Funder
Defense Advanced Research Projects Agency
Office of Naval Research Multidisciplinary University Research Initiative
Office of Naval Research
Air Force Office of Scientific Research
Reference66 articles.
1. On the statistical formalism of uncertainty quantification;Berger;Annu. Rev. Stat. Appl.,2019
2. A review of uncertainty quantification in deep learning: Techniques, applications and challenges;Abdar;Inf. Fusion,2021
3. N. Kennamer, A. Ihler, D. Kirkby, Empirical Study of MC-Dropout in Various Astronomical Observing Conditions, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019.
4. Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks;Wang;Neurocomputing,2019
5. Personalizing activity recognition models through quantifying different types of uncertainty using wearable sensors;Akbari;IEEE Trans. Biomed. Eng.,2020
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