Accelerating Image Analysis Research with Active Learning Techniques in Genetic Programming.
Nathan HautWolfgang BanzhafBill PunchDirk ColbryPublished in: GPTP (2023)
Keyphrases
- genetic programming
- active learning
- image analysis
- fitness function
- evolutionary computation
- symbolic regression
- evolutionary algorithm
- pattern recognition
- supervised learning
- machine learning
- random sampling
- learning strategies
- regression problems
- visual inspection
- evolutionary approaches
- image processing
- relevance feedback
- semi supervised
- selective sampling
- gene expression programming
- hyper heuristics
- training set
- grammar guided genetic programming
- computer vision
- learning algorithm
- texture analysis
- mathematical morphology
- multispectral
- learning process
- remote sensing
- scale space
- imbalanced data classification
- image segmentation
- training examples
- image understanding
- experimental design
- cost sensitive
- neural network
- financial forecasting
- annotation effort
- pool based active learning
- labeled data
- text classification
- batch mode
- medical imaging
- open source
- transfer learning
- rare class
- active learning strategies
- decision trees