Machine learning for science and society
Water pipe condition assessment: a hierarchical beta process approach for sparse incident data
Enhancing understanding and improving prediction of severe weather through spatiotemporal relational learning
Using random forests to diagnose aviation turbulence
Collaborative information acquisition for data-driven decisions
Detecting inappropriate access to electronic health records using collaborative filtering
Machine learning for targeted display advertising: transfer learning in action
Tracking people over time in 19th century Canada for longitudinal analysis
Computational social science and social computing
Forecast aggregation via recalibration
Learning from multiple annotators with varying expertise
Imputation of missing links and attributes in longitudinal social surveys
Manifestations of user personality in website choice and behaviour on online social networks
Modeling topic control to detect influence in conversations using nonparametric topic models
Interactive topic modeling
Almost optimal estimates for approximation and learning by radial basis function networks
Sequence labeling with multiple annotators
Regret bounded by gradual variation for online convex optimization
An instance level analysis of data complexity