Výsledky vyhledávání - "Hutchinson, Rebecca"

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Under-Counted Tensor Completion with Neural Incorporation of Attributes

Autor: Ibrahim, Shahana, Fu, Xiao, Hutchinson, Rebecca, Seo, Eugene

Systematic under-counting effects are observed in data collected across many disciplines, e.g., epidemiology and ecology. Under-counted tensor completion (UC-TC) is well-motivated for many data analytics tasks, e.g., inferring the case numbers of inf

Externí odkaz: http://arxiv.org/abs/2306.03273

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Akademický článek

eButterfly: Leveraging Massive Online Citizen Science for Butterfly Conservation

Autor: Prudic, Kathleen, McFarland, Kent, Oliver, Jeffrey, Hutchinson, Rebecca, Long, Elizabeth, Kerr, Jeremy, Larrivée, Maxim

Data collection, storage, analysis, visualization, and dissemination are changing rapidly due to advances in new technologies driven by computer science and universal access to the internet. These technologies and web connections place human observer

Externí odkaz: http://hdl.handle.net/10150/626609
http://arizona.openrepository.com/arizona/handle/10150/626609

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StatEcoNet: Statistical Ecology Neural Networks for Species Distribution Modeling

Autor: Seo, Eugene, Hutchinson, Rebecca A., Fu, Xiao, Li, Chelsea, Hallman, Tyler A., Kilbride, John, Robinson, W. Douglas

This paper focuses on a core task in computational sustainability and statistical ecology: species distribution modeling (SDM). In SDM, the occurrence pattern of a species on a landscape is predicted by environmental features based on observations at

Externí odkaz: http://arxiv.org/abs/2102.08534

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Link Prediction Under Imperfect Detection: Collaborative Filtering for Ecological Networks

Autor: Fu, Xiao, Seo, Eugene, Clarke, Justin, Hutchinson, Rebecca A.

Matrix completion based collaborative filtering is considered scalable and effective for online service link prediction (e.g., movie recommendation) but does not meet the challenges of link prediction in ecological networks. A unique challenge of eco

Externí odkaz: http://arxiv.org/abs/1910.03659

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