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Oliver Muellerklein

Researcher at University of California, Berkeley

Publications -  13
Citations -  450

Oliver Muellerklein is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Population viability analysis & Biodiversity. The author has an hindex of 7, co-authored 12 publications receiving 286 citations. Previous affiliations of Oliver Muellerklein include Vision-Sciences, Inc..

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Insights and approaches using deep learning to classify wildlife.

TL;DR: Light is shed on the methods themselves and types of features these methods extract to make efficient identifications and reliable classifications of wildlife species from camera-trap data, and presents dataset biases that were revealed by these extracted features.
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Carnivore carcasses are avoided by carnivores

TL;DR: The hypothesis that carnivore carcasses are avoided by other carnivores, especially at the intraspecific level, most likely to reduce exposure to parasitism is tested, and the existence of a novel coevolutionary relation between carnivores and their parasites is supported.
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Modeling epidemics: A primer and Numerus Model Builder implementation.

TL;DR: The continuous and discrete deterministic and discrete stochastic formulations of the SIR dynamical systems models are reviewed, and how they can be easily and rapidly constructed using Numerus Model Builder, a graphically-driven coding platform is outlined.
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A review of the emergent ecosystem of collaborative geospatial tools for addressing environmental challenges

TL;DR: This paper identifies the key components of a collaborative Spatial Data Science workflow to develop a framework for evaluating the various functional aspects of collaborative geospatial tools and creates a typology of these tools, which is presented as a map of the emergent ecosystem and functional niches of collaboration tools.