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Found 3 papers, 1 papers with code
ADVISE: ADaptive Feature Relevance and VISual Explanations for Convolutional Neural Networks
To this end, we propose using adaptive bandwidth kernel density estimation to assign a relevance score to each unit of the feature map with respect to the predicted class.
A deep convolutional neural network for classification of Aedes albopictus mosquitoes
Monitoring the spread of disease-carrying mosquitoes is a first and necessary step to control severe diseases such as dengue, chikungunya, Zika or yellow fever.
On the use of uncertainty in classifying Aedes Albopictus mosquitoes
The estimated uncertainty was also used in an active learning framework, where just a portion of the data from large training sets was manually labelled.
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