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Ilastik: interactive machine learning for (bio) image analysis
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 …
image analysis to end users without substantial computational expertise. It contains pre …
[HTML][HTML] Perspectives in machine learning for wildlife conservation
Inexpensive and accessible sensors are accelerating data acquisition in animal ecology.
These technologies hold great potential for large-scale ecological understanding, but are …
These technologies hold great potential for large-scale ecological understanding, but are …
Old plants, new tricks: Phenological research using herbarium specimens
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 …
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
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 …
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
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 …
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)
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 …
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
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 …
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 …
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 …
in our time, as it can dramatically affect the environment, marine ecosystems, and coastal …
Citizen science: An information quality research frontier
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 …
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?
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 …
label data for a particular purpose, from hiring crowdworkers to the paper's authors labeling …