CUAD-Mo: Continuos Unsupervised Anomaly Detection on Machining Operations.
Luciano LorentiGaia De RossiAlberto AnnoniSilvano RiguttoGian Antonio SustoPublished in: CCTA (2022)
Keyphrases
- unsupervised anomaly detection
- anomaly detection
- semi supervised
- multi objective
- intrusion detection
- multiobjective optimization
- differential evolution
- pattern mining
- evolutionary algorithm
- pairwise
- unsupervised learning
- multiple objectives
- genetic algorithm
- particle swarm optimization
- real world
- learning algorithm
- nsga ii
- multi objective optimization
- data sets
- special case
- active learning
- artificial neural networks
- pattern recognition