Achieving explainability for plant disease classification with disentangled variational autoencoders.
Harshana HabaragamuwaYu OishiKenichi TanakaPublished in: Eng. Appl. Artif. Intell. (2024)
Keyphrases
- pattern classification
- pattern recognition
- support vector machine
- automatic classification
- control system
- classification accuracy
- denoising
- decision trees
- feature extraction
- support vector
- classification method
- classification algorithm
- class labels
- classification process
- training set
- handwritten digits
- image segmentation
- classification systems
- classification scheme
- disease diagnosis
- unsupervised learning
- benchmark datasets
- machine learning algorithms
- training samples
- machine learning
- multi class
- multiscale
- feature selection