1 code implementation • 10 Sep 2023 • Amanda Aird, Cassidy All, Paresha Farastu, Elena Stefancova, Joshua Sun, Nicholas Mattei, Robin Burke
Fairness problems in recommender systems often have a complexity in practice that is not adequately captured in simplified research formulations.
no code implementations • 2 Mar 2023 • Amanda Aird, Paresha Farastu, Joshua Sun, Elena Štefancová, Cassidy All, Amy Voida, Nicholas Mattei, Robin Burke
Algorithmic fairness in the context of personalized recommendation presents significantly different challenges to those commonly encountered in classification tasks.
no code implementations • 27 Jan 2020 • Lance Rice, Samual Tate, David Farynyk, Joshua Sun, Greg Chism, Daniel Charbonneau, Thomas Fasciano, Anna Dornhaus, Min C. Shin
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.