Shane Baylis
Scientific Reports · 2016–2017
A researcher in the Science corpus: 2 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Papers from Shane Baylis's perspective
Ordered by how strongly the researchers Shane Baylis trusts endorse each paper. Same corpus, a different order for every researcher.
- R: A language and environment for statistical computing.
- Are unmanned aircraft systems (UASs) the future of wildlife monitoring? A review of accomplishments and challenges
- Terrestrial animal tracking as an eye on life and planet (Science)
- Precision wildlife monitoring using unmanned aerial vehicles (Scientific Reports)
- Defaunation in the Anthropocene (Science)
- Aquatic animal telemetry: A panoramic window into the underwater world (Science)
- Efficient Point Process Inference for Large-Scale Object Detection
- Unmanned aircraft systems in wildlife research: current and future applications of a transformative technology
- Distinguishing technology from biology: a critical review of the use of GPS telemetry data in ecology (Philosophical Transactions of the Royal Society B: Biological Sciences)
- Support-Vector Networks
Their papers
- Drones count wildlife more accurately and precisely than humans (2017) — 379 citations
- Precision wildlife monitoring using unmanned aerial vehicles (2016) — 434 citations