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Towards Stable Preferences for Stakeholder-aligned Machine Learning
In response to the pressing challenge of kidney allocation, characterized by growing demands for organs, this research sets out to develop a data-driven solution to this problem, which also incorporates stakeholder values.
Similarity Learning Networks for Animal Individual Re-Identification -- Beyond the Capabilities of a Human Observer
Without any species-specific modifications, our results demonstrate that similarity comparison networks can reach a performance level beyond that of humans for the task of animal re-identification.
Past, Present, and Future Approaches Using Computer Vision for Animal Re-Identification from Camera Trap Data
The ability of a researcher to re-identify (re-ID) an individual animal upon re-encounter is fundamental for addressing a broad range of questions in the study of ecosystem function, community and population dynamics, and behavioural ecology.
Deep Learning Object Detection Methods for Ecological Camera Trap Data
Recent advances in the field of deep learning for object detection show promise towards automating the analysis of camera trap images.
