Explaining time series classifiers through meaningful perturbation and optimisation.
Han MengChristian WagnerIsaac TrigueroPublished in: Inf. Sci. (2023)
Keyphrases
- training data
- linear classifiers
- classification systems
- machine learning algorithms
- test set
- support vector
- decision trees
- non stationary
- classification rate
- classification algorithm
- feature selection
- moving average
- dynamic time warping
- classification models
- svm classifier
- naive bayes
- genetic algorithm
- class labels
- training examples
- stock market
- training samples
- higher level
- recognition rate
- classification accuracy
- chronic hepatitis