Researchers are defining new types of interactions between humans and machine learning
algorithms generically called human-in-the-loop machine learning. Depending on who is in …

Inexpensive and accessible sensors are accelerating data acquisition in animal ecology.
These technologies hold great potential for large-scale ecological understanding, but are …

Blue carbon ecosystems (mangroves, seagrasses and saltmarshes) are highly productive
coastal habitats, and are considered some of the most carbon-dense ecosystems on the …

Studying animal behaviour allows us to understand how different species and individuals
navigate their physical and social worlds. Video coding of behaviour is considered a gold …

We address the task of automatically detecting and counting seabirds in unmanned aerial
vehicle (UAV) imagery using deep convolutional neural networks (CNNs). Our study area …

Advances in artificial intelligence for computer vision hold great promise for increasing the
scales at which ecological systems can be studied. The distribution and behavior of …

Coral reefs are among the most diverse ecosystems on our planet, and essential to the
livelihood of hundreds of millions of people who depend on them for food security, income …

Camera trapping has revolutionized wildlife ecology and conservation by providing
automated data acquisition, leading to the accumulation of massive amounts of camera trap …

While human-centered approaches to machine learning explore various human roles within
the interaction loop, the notion of Interactive Machine Teaching (IMT) emerged with a focus …

We introduce WildlifeMapper (WM) a flexible model designed to detect locate and identify
multiple species in aerial imagery. It addresses the limitations of traditional labor-intensive …