Pages that link to "Item:Q2008102"
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The following pages link to Uncertainty quantification using Bayesian neural networks in classification: application to biomedical image segmentation (Q2008102):
Displaying 6 items.
- Epistemic uncertainty quantification in deep learning classification by the delta method (Q6055168) (← links)
- Information aware max-norm Dirichlet networks for predictive uncertainty estimation (Q6078671) (← links)
- Numerical Analysis for Convergence of a Sample-Wise Backpropagation Method for Training Stochastic Neural Networks (Q6190298) (← links)
- Quantifying predictive uncertainty in damage classification for nondestructive evaluation using Bayesian approximation and deep learning (Q6557656) (← links)
- Improved quasi-uniform stability criterion of fractional-order neural networks with discrete and distributed delays (Q6580813) (← links)
- Bayesian image segmentation under varying blur with triplet Markov random field (Q6594413) (← links)
