Detecting in-vehicle intrusion via semi-supervised learning-based convolutional adversarial autoencoders.
Thien-Nu HoangDaehee KimPublished in: Veh. Commun. (2022)
Keyphrases
- semi supervised learning
- semi supervised
- unlabeled data
- labeled data
- unsupervised learning
- deep belief networks
- restricted boltzmann machine
- co training
- training data
- supervised learning
- semi supervised classification
- machine learning
- label propagation
- active learning
- manifold regularization
- semi supervised learning algorithms
- denoising
- learning models
- graph based semi supervised learning
- graph construction
- transfer learning
- metric learning
- domain adaptation
- high dimensional
- neural network
- sparse coding
- class labels
- natural language processing
- pattern recognition
- improve the classification accuracy
- text classification
- multi view
- maximum likelihood