Spatiotemporal Assessment of Forest Fire Vulnerability in China Using Automated Machine Learning.
Hongge RenLi ZhangMin YanBowei ChenZhenyu YangLinlin RuanPublished in: Remote. Sens. (2022)
Keyphrases
- machine learning
- risk assessment
- semi automated
- machine learning methods
- machine learning and data mining
- spatial and temporal
- data mining
- machine learning approaches
- computer vision
- buffer overflow
- learning algorithm
- feature selection
- computational biology
- machine learning algorithms
- space time
- semi automatic
- pattern recognition
- reinforcement learning
- hong kong
- fully automated
- forest fires
- computer science
- semi supervised learning
- information extraction
- learning tasks
- risk management
- quality assessment
- computer aided
- knowledge acquisition
- explanation based learning
- knowledge representation
- data sets
- automated analysis
- spatiotemporal data
- spatio temporal
- spatiotemporal patterns
- moving objects