Seeing biodiversity: perspectives in machine learning for wildlife conservation.
Devis TuiaBenjamin KellenbergerSara BeeryBlair R. CostelloeSilvia ZuffiBenjamin RisseAlexander MathisMackenzie W. MathisFrank van LangeveldeTilo BurghardtRoland KaysHolger KlinckMartin WikelskiIain D. CouzinGrant Van HornMargaret C. CrofootCharles V. StewartTanya Y. Berger-WolfPublished in: CoRR (2021)
Keyphrases
- machine learning
- pattern recognition
- machine learning approaches
- learning algorithm
- machine learning methods
- information extraction
- inductive learning
- computational intelligence
- supervised classification
- text classification
- learning tasks
- real world
- semi supervised learning
- learning systems
- artificial intelligence
- remote sensing
- computer science
- data sets
- active learning
- explanation based learning
- computer vision
- data mining
- knowledge discovery
- computational biology
- machine learning and data mining
- knowledge acquisition
- probabilistic model
- image analysis
- multiscale
- case study
- information systems
- neural network