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Found 3 papers, 1 papers with code
Interpretable Fake News Detection with Topic and Deep Variational Models
The growing societal dependence on social media and user generated content for news and information has increased the influence of unreliable sources and fake content, which muddles public discourse and lessens trust in the media.
Towards Spatio-Temporal Cross-Platform Graph Embedding Fusion for Urban Traffic Flow Prediction
Based on the observations that different transportation platforms trip data (e. g., taxis, Uber, and Lyft) can be correlated, we have designed an effective fusion mechanism that combines the trip data from different transportation platforms and further uses them for cross-platform traffic flow prediction (e. g., integrating taxis and ride-sharing platforms for taxi traffic flow prediction).
Towards Dynamic Urban Bike Usage Prediction for Station Network Reconfiguration
To fill this gap, in this work we propose a novel and efficient bike station-level prediction algorithm called AtCoR, which can predict the bike usage at both existing and new stations (candidate locations during reconfiguration).
