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Found 4 papers, 2 papers with code
Leveraging Uncertainty in Deep Learning for Selective Classification
The wide and rapid adoption of deep learning by practitioners brought unintended consequences in many situations such as in the infamous case of Google Photos' racist image recognition algorithm; thus, necessitated the utilization of the quantified uncertainty for each prediction.
Discovering patterns of online popularity from time series
By clustering the multidimensional time-series of the popularity of contents coupled with other domain-specific dimensions, we uncover two main patterns of popularity: bursty and steady temporal behaviors.
Sentiment-driven Community Profiling and Detection on Social Media
Most existing community detection methods merely focus on discovering communities without providing any insight regarding the collective opinions of community members and the motives behind the formation of communities.
Social and Information Networks
Community Detection in Political Twitter Networks using Nonnegative Matrix Factorization Methods
Community detection is a fundamental task in social network analysis.
