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Investigating disaster response through social media data and the Susceptible-Infected-Recovered (SIR) model: A case study of 2020 Western U.S. wildfire season
Our study details how the SIR model and topic modeling using social media data can provide decision-makers with a quantitative approach to measure disaster response and support their decision-making processes.
Query-augmented Active Metric Learning
In particular, we augment the queried constraints by generating more pairwise labels to provide additional information in learning a metric to enhance clustering performance.
High-order joint embedding for multi-level link prediction
Link prediction infers potential links from observed networks, and is one of the essential problems in network analyses.
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