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Found 3 papers, 1 papers with code
CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation
Deep Neural Networks (DNNs) are widely used for visual classification tasks, but their complex computation process and black-box nature hinder decision transparency and interpretability.
POP-CNN: Predicting Odor's Pleasantness with Convolutional Neural Network
Predicting odor's pleasantness simplifies the evaluation of odors and has the potential to be applied in perfumes and environmental monitoring industry.
Deep Nearest Class Mean Model for Incremental Odor Classification
That is, the odor datasets are dynamically growing while both training samples and number of classes are increasing over time.
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