Semi-Supervised Detection of Structural Damage Using Variational Autoencoder and a One-Class Support Vector Machine.
Andrea PollastroGiusiana TestaAntonio BilottaRoberto PrevetePublished in: IEEE Access (2023)
Keyphrases
- semi supervised
- one class support vector machines
- anomaly detection
- damage detection
- false positives
- automatic detection
- structural information
- detection algorithm
- detection rate
- detection method
- semi supervised learning
- object detection
- data mining
- multi view
- false alarms
- detection accuracy
- unlabeled data
- supervised learning
- training data