Prediction of Activated Sludge Settling Characteristics from Microscopy Images with Deep Convolutional Neural Networks and Transfer Learning.
Sina BorzooeiLeonardo F. S. ScabiniGisele Helena Barboni MirandaSaba DaneshgarLukas DeblieckPiet De LangheOdemir Martinez BrunoBernard De BaetsIngmar NopensElena TorfsPublished in: CoRR (2024)
Keyphrases
- transfer learning
- microscopy images
- convolutional neural networks
- knowledge transfer
- learning tasks
- reinforcement learning
- cross domain
- labeled data
- manifold alignment
- machine learning
- multi task
- semi supervised learning
- active learning
- collaborative filtering
- domain adaptation
- multi channel
- transfer knowledge
- structure learning
- prediction model
- confocal images
- machine learning algorithms
- text classification
- learning algorithm
- cross domain learning
- target domain
- text mining
- neural network
- transferring knowledge
- phase contrast images
- data analysis
- image processing
- prior knowledge
- semi supervised
- text categorization
- unlabeled data
- mutual information