Automatic acoustic mosquito tagging with Bayesian neural networks
Deep learning models are now widely used in decision-making applications. These models must be robust to noise and carefully map to the underlying uncertainty in the data. Standard deterministic neural networks are well known to be poor at providing reliable estimates of uncertainty and often lack t...
Main Authors: | , , , , |
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Format: | Conference item |
Language: | English |
Published: |
Springer
2021
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