Using visualization and machine learning methods to monitor low detectability species - The least bittern as a case study.
Elizabeth ZnidersicMichael TowseyW. Kelly RoySarah E. DarlingAnthony TruskingerPaul RoeDavid M. WatsonPublished in: Ecol. Informatics (2020)
Keyphrases
- machine learning methods
- machine learning
- machine learning algorithms
- machine learning approaches
- real time
- ensemble methods
- high levels
- data visualization
- monitoring system
- data analysis
- image quality
- statistical methods
- visualization tools
- case study
- interactive visualization
- learned knowledge
- predator prey
- visual representation
- visual analysis
- visualization tool
- test bed
- self organizing maps
- decision trees
- learning algorithm
- real world