Self-Supervised Learning for data scarcity in a fatigue damage prognostic problem.
Anass AkrimChristian GoguRob A. VingerhoedsMichel SalaünPublished in: Eng. Appl. Artif. Intell. (2023)
Keyphrases
- data sets
- raw data
- data analysis
- data collection
- prior knowledge
- original data
- synthetic data
- end users
- learning process
- high quality
- image data
- human experts
- learning algorithm
- database
- active learning
- training data
- data mining techniques
- statistical analysis
- spatial data
- background knowledge
- hidden variables
- data quality
- learning tasks
- high dimensional data
- knowledge acquisition
- supervised learning
- data points
- data sources
- metadata
- neural network