A Double Machine Learning Trend Model for Citizen Science Data

no code implementations • 27 Oct 2022 • Daniel Fink, Alison Johnston, Matt Strimas-Mackey, Tom Auer, Wesley M. Hochachka, Shawn Ligocki, Lauren Oldham Jaromczyk, Orin Robinson, Chris Wood, Steve Kelling, Amanda D. Rodewald

We used a simulation study to assess the ability of the method to estimate spatially varying trends in the face of real-world confounding.

Robust sound event detection in bioacoustic sensor networks

1 code implementation • 20 May 2019 • Vincent Lostanlen, Justin Salamon, Andrew Farnsworth, Steve Kelling, Juan Pablo Bello

As a case study, we consider the problem of detecting avian flight calls from a ten-hour recording of nocturnal bird migration, recorded by a network of six ARUs in the presence of heterogeneous background noise.

Data Augmentation Event Detection +1

Detecting Migrating Birds at Night

no code implementations • CVPR 2016 • Jia-Bin Huang, Rich Caruana, Andrew Farnsworth, Steve Kelling, Narendra Ahuja

In this paper, we present a vision-based system for detecting migrating birds in flight at night.