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Achieving Explainability for Plant Disease Classification with Disentangled Variational Autoencoders
Agricultural image recognition tasks are becoming increasingly dependent on deep learning (DL); however, despite the excellent performance of DL, it is difficult to comprehend the type of logic or features of the input image it uses during decision making.
Stochastic Threshold Model Trees: A Tree-Based Ensemble Method for Dealing with Extrapolation
In the case of the real data, although there is no significant overall improvement in accuracy, there is one compound for which the prediction accuracy is notably improved, suggesting that STMT reflects the data trends in the extrapolation area.
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