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Found 8 papers, 2 papers with code
The Cadaver in the Machine: The Social Practices of Measurement and Validation in Motion Capture Technology
Motion capture systems, used across various domains, make body representations concrete through technical processes.
The Role of Relevance in Fair Ranking
Online platforms mediate access to opportunity: relevance-based rankings create and constrain options by allocating exposure to job openings and job candidates in hiring platforms, or sellers in a marketplace.
Measurement and Fairness
We argue that this contestedness underlies recent debates about fairness definitions: although these debates appear to be about different operationalizations, they are, in fact, debates about different theoretical understandings of fairness.
Discovering heterogeneous subpopulations for fine-grained analysis of opioid use and opioid use disorders
Over-prescription and misuse of prescription opioids play an important role in the epidemic.
A unified view of generative models for networks: models, methods, opportunities, and challenges
Here, we describe a unified view of generative models for networks that draws together many of these disparate threads and highlights the fundamental similarities and differences that span these fields.
Learning Latent Block Structure in Weighted Networks
We then evaluate the WSBM's performance on both edge-existence and edge-weight prediction tasks for a set of real-world weighted networks.
Efficiently inferring community structure in bipartite networks
Bipartite networks are a common type of network data in which there are two types of vertices, and only vertices of different types can be connected.
Adapting the Stochastic Block Model to Edge-Weighted Networks
We generalize the stochastic block model to the important case in which edges are annotated with weights drawn from an exponential family distribution.
