Investigation of a Sparse Autoencoder-Based Feature Transfer Learning Framework for Hydrogen Monitoring Using Microfluidic Olfaction Detectors.
Hamed MirzaeiMilad RamezankhaniEmily EarlNishat TasnimAbbas S. MilaniMina HoorfarPublished in: Sensors (2022)
Keyphrases
- transfer learning
- cross domain
- learning tasks
- learning algorithm
- knowledge transfer
- reinforcement learning
- multi task
- active learning
- collaborative filtering
- pedestrian detector
- data sets
- domain adaptation
- labeled data
- text classification
- high dimensional
- feature selection
- information retrieval
- neural network
- databases