Ilastik: interactive machine learning for (bio) image analysis

S Berg, D Kutra, T Kroeger, CN Straehle, BX Kausler… - Nature …, 2019 - nature.com
We present ilastik, an easy-to-use interactive tool that brings machine-learning-based (bio)
image analysis to end users without substantial computational expertise. It contains pre …

[HTML][HTML] Perspectives in machine learning for wildlife conservation

D Tuia, B Kellenberger, S Beery, BR Costelloe… - Nature …, 2022 - nature.com
Inexpensive and accessible sensors are accelerating data acquisition in animal ecology.
These technologies hold great potential for large-scale ecological understanding, but are …

Old plants, new tricks: Phenological research using herbarium specimens

CG Willis, ER Ellwood, RB Primack, CC Davis… - Trends in ecology & …, 2017 - cell.com
The timing of phenological events, such as leaf-out and flowering, strongly influence plant
success and their study is vital to understanding how plants will respond to climate change …

Bioclip: A vision foundation model for the tree of life

S Stevens, J Wu, MJ Thompson… - Proceedings of the …, 2024 - openaccess.thecvf.com
Images of the natural world collected by a variety of cameras from drones to individual
phones are increasingly abundant sources of biological information. There is an explosion …

Past, present and future approaches using computer vision for animal re‐identification from camera trap data

S Schneider, GW Taylor, S Linquist… - Methods in Ecology …, 2019 - Wiley Online Library
The ability of a researcher to re‐identify (re‐ID) an individual animal upon re‐encounter is
fundamental for addressing a broad range of questions in the study of ecosystem function …

Planetary candidates observed by Kepler. VII. The first fully uniform catalog based on the entire 48-month data set (Q1–Q17 DR24)

JL Coughlin, F Mullally, SE Thompson… - The Astrophysical …, 2016 - iopscience.iop.org
We present the seventh Kepler planet candidate (PC) catalog, which is the first catalog to be
based on the entire, uniformly processed 48-month Kepler data set. This is the first fully …

Methods for wildlife monitoring in tropical forests: Comparing human observations, camera traps, and passive acoustic sensors

JA Zwerts, PJ Stephenson, F Maisels… - … Science and Practice, 2021 - Wiley Online Library
Wildlife monitoring is essential for conservation science and data‐driven decision‐making.
Tropical forests pose a particularly challenging environment for monitoring wildlife due to the …

[HTML][HTML] A citizen science unmanned aerial system data acquisition protocol and deep learning techniques for the automatic detection and map** of marine litter …

A Papakonstantinou, M Batsaris, S Spondylidis… - Drones, 2021 - mdpi.com
Marine litter (ML) accumulation in the coastal zone has been recognized as a major problem
in our time, as it can dramatically affect the environment, marine ecosystems, and coastal …

Citizen science: An information quality research frontier

R Lukyanenko, A Wiggins, HK Rosser - Information Systems Frontiers, 2020 - Springer
The rapid proliferation of online content producing and sharing technologies resulted in an
explosion of user-generated content (UGC), which now extends to scientific data. Citizen …

Garbage in, garbage out? Do machine learning application papers in social computing report where human-labeled training data comes from?

RS Geiger, K Yu, Y Yang, M Dai, J Qiu, R Tang… - Proceedings of the …, 2020 - dl.acm.org
Many machine learning projects for new application areas involve teams of humans who
label data for a particular purpose, from hiring crowdworkers to the paper's authors labeling …