A transfer-learning approach for corrosion prediction in pipeline infrastructures.
Giuseppe CanonacoManuel RoveriCesare AlippiFabrizio PodenzaniAntonio BennardoMarco ContiNicola ManciniPublished in: Appl. Intell. (2022)
Keyphrases
- transfer learning
- learning tasks
- knowledge transfer
- labeled data
- active learning
- cross domain
- machine learning
- reinforcement learning
- collaborative filtering
- text categorization
- learning algorithm
- transfer knowledge
- domain adaptation
- semi supervised learning
- multi task
- machine learning algorithms
- multi task learning
- manifold alignment
- target domain
- text classification
- prediction model
- training samples
- text mining
- structure learning
- real world
- neural network
- test set
- artificial intelligence
- data mining