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Found 3 papers, 1 papers with code
Exploring Social Choice Mechanisms for Recommendation Fairness in SCRUF
Fairness problems in recommender systems often have a complexity in practice that is not adequately captured in simplified research formulations.
Dynamic fairness-aware recommendation through multi-agent social choice
Algorithmic fairness in the context of personalized recommendation presents significantly different challenges to those commonly encountered in classification tasks.
ABCTracker: an easy-to-use, cloud-based application for tracking multiple objects
Visual multi-object tracking has the potential to accelerate many forms of quantitative analyses, especially in research communities investigating the motion, behavior, or social interactions within groups of animals.
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