Toward an Augmented and Explainable Machine Learning Approach for Classification of Defective Nanomaterial Patches.
Cosimo IeracitanoNadia MammoneAnnunziata PaviglianitiFrancesco Carlo MorabitoPublished in: EANN (2021)
Keyphrases
- machine learning
- pattern recognition
- machine learning methods
- text classification
- decision trees
- support vector machine
- machine learning algorithms
- feature selection
- supervised machine learning
- support vector machine svm
- supervised learning
- classification method
- classification accuracy
- active learning
- pattern classification
- machine learning approaches
- image classification
- classification scheme
- training set
- artificial intelligence
- classification systems
- classification algorithm
- natural language
- model selection
- feature vectors
- multi class
- supervised classification
- kernel fisher discriminant
- automatic classification
- statistical learning
- classification models
- learning tasks
- benchmark datasets
- unsupervised learning
- natural language processing
- support vector
- feature extraction
- learning algorithm