68 citations · 74 across the 4 of their papers we have counts for
5 papers
A Double Machine Learning Trend Model for Citizen Science Data
Daniel Fink, Alison Johnston, Matt Strimas-Mackey +8
1. Citizen and community-science (CS) datasets have great potential for estimating interannual patterns of population change given the large volumes of data collected globally ever…
"Birds in the Clouds": Adventures in Data Engineering
N. Cherel, J. Reesman, A. Sahuguet +2
Leveraging their eBird crowdsourcing project, the Cornell Lab of Ornithology generates sophisticated Spatio-Temporal Exploratory Model (STEM) maps of bird migrations. Such maps are…
Statistical Inference on Tree Swallow Migrations with Random Forests
Tim Coleman, Lucas Mentch, Daniel Fink +4
Bird species' migratory patterns have typically been studied through individual observations and historical records. In recent years however, the eBird citizen science project, whi…
Deep Multi-Species Embedding
Di Chen, Yexiang Xue, Shuo Chen +2
Understanding how species are distributed across landscapes over time is a fundamental question in biodiversity research. Unfortunately, most species distribution models only targe…
Computational Network Design from Functional Specifications
Chi-Han Peng, Niloy J. Mitra, Fan Bao +2
Connectivity and layout of underlying networks largely determine the behavior of many environments. For example, transportation networks determine the flow of traffic in cities, or…