Optimizing Tumor Classification Through Transfer Learning and Particle Swarm Optimization-Driven Feature Extraction.
Ali Akbar SiddiqueAsif RazaMohammed S. AlshehriNada AlasbaliSaadullah Farooq AbbasiPublished in: IEEE Access (2024)
Keyphrases
- transfer learning
- particle swarm optimization
- tumor classification
- feature extraction
- feature selection
- gene selection
- learning tasks
- machine learning
- text categorization
- multi step
- knowledge transfer
- text classification
- cross domain
- labeled data
- reinforcement learning
- transfer knowledge
- gene expression profiles
- gene expression data
- support vector machine svm
- image classification
- pattern recognition
- active learning
- feature set
- principal component analysis
- feature vectors
- image processing
- machine learning algorithms
- semi supervised learning
- face recognition
- domain adaptation
- discriminant analysis
- text mining
- collaborative filtering
- neural network
- feature space
- high classification accuracy
- labeled examples
- learning algorithm
- natural language processing
- multi task
- dimensionality reduction
- gene expression
- microarray data
- target domain
- linear discriminant analysis
- decision trees
- multi class
- dimensionality reduction methods
- prior knowledge
- microarray
- unsupervised learning