CellLineNet: End-to-End Learning and Transfer Learning For Multiclass Epithelial Breast cell Line Classification via a Convolutional Neural Network.
Darlington Ahiale AkogoVincent AppiahXavier-Lewis PalmerPublished in: CoRR (2018)
Keyphrases
- end to end
- multi class
- transfer learning
- learning tasks
- multi task
- multi class classifier
- multiclass classification
- convolutional neural network
- support vector machine
- knowledge transfer
- reinforcement learning
- multiclass support vector machines
- binary classifiers
- multi task learning
- machine learning
- transfer knowledge
- multiclass problems
- cost sensitive
- learning problems
- supervised learning
- active learning
- unsupervised learning
- binary classification
- error correcting output codes
- multitask learning
- learning algorithm
- text classification
- cross domain
- multiple classes
- learning process
- feature selection
- domain adaptation
- machine learning algorithms
- support vector
- feature extraction
- multiclass learning
- cross validation
- training set
- gaussian processes