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Found 10 papers, 5 papers with code
Seeing biodiversity: perspectives in machine learning for wildlife conservation
Data acquisition in animal ecology is rapidly accelerating due to inexpensive and accessible sensors such as smartphones, drones, satellites, audio recorders and bio-logging devices.
Fairness-aware Summarization for Justified Decision-Making
In other words, decision-relevant features should provide sufficient information for the predicted outcome and should be independent of the membership of individuals in protected groups such as race and gender.
Understanding the Dynamics between Vaping and Cannabis Legalization Using Twitter Opinions
Cannabis legalization has been welcomed by many U. S. states but its role in escalation from tobacco e-cigarette use to cannabis vaping is unclear.
Imagine All the People: Citizen Science, Artificial Intelligence, and Computational Research
Machine learning, artificial intelligence, and deep learning have advanced significantly over the past decade.
Learning to Represent the Evolution of Dynamic Graphs with Recurrent Models
Recently, a few studies have focused on learning temporal information in addition to the topology of a graph.
Variable-lag Granger Causality and Transfer Entropy for Time Series Analysis
We demonstrate our approaches on an application for studying coordinated collective behavior and other real-world casual-inference datasets and show that our proposed approaches perform better than several existing methods in both simulated and real-world datasets.
Framework for Inferring Following Strategies from Time Series of Movement Data
Given a set of time series that includes coordinated movement and a set of candidate strategies as inputs, we provide the first methodology (to the best of our knowledge) to infer whether each individual uses local-agreement-system or dictatorship-like strategy to achieve movement coordination at the group level.
Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture from Images "In the Wild"
In contrast to research on human pose, shape and texture estimation, training data for endangered species is limited, the animals are in complex natural scenes with occlusion, they are naturally camouflaged, travel in herds, and look similar to each other.
Animal Wildlife Population Estimation Using Social Media Images Collections
Social media is the rich source of wildlife images, which come with a huge bias, thus thwarting traditional population size estimate approaches.
A Framework For Identifying Group Behavior Of Wild Animals
Activity recognition and, more generally, behavior inference tasks are gaining a lot of interest.
