A5080854521- Species Distribution and Climate Change
- Wildlife Ecology and Conservation
- Forest Ecology and Biodiversity Studies
- Ecology and Vegetation Dynamics Studies
- Smart Agriculture and AI
- Diptera species taxonomy and behavior
- AI in cancer detection
- Advanced Neural Network Applications
- Advanced Vision and Imaging
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Medical Image Segmentation Techniques
- Bat Biology and Ecology Studies
University of Bonn
2020-2022
Automated species identification and delimitation is challenging, particularly in rare thus often scarcely sampled species, which do not allow sufficient discrimination of infraspecific versus interspecific variation. Typical problems arising from either low or exaggerated morphological differentiation are best met by automated methods machine learning that learn efficient effective training samples. However, limited sampling remains a key challenge also learning. In this study, we assessed...
Automated species identification and delimitation is challenging, particularly in rare thus often scarcely sampled species, which do not allow sufficient discrimination of infraspecific versus interspecific variation. Typical problems arising from either low or exaggerated morphological differentiation are best met by automated methods machine learning that learn efficient effective training samples. However, limited sampling remains a key challenge also learning. 1In this study, we assessed...