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Investigating internal migration with network analysis and latent space representations: An application to Turkey
We provide an in-depth investigation into the structure and dynamics of the internal migration in Turkey from 2008 to 2020.
Machine-Generated Hierarchical Structure of Human Activities to Reveal How Machines Think
First, we argue the importance and feasibility of constructing a hierarchical labeling system for human activity recognition.
Alignment and stability of embeddings: measurement and inference improvement
Real-world experiments show that both static and dynamic RL methods are prone to produce misaligned embeddings and such misalignment worsens the performance of dynamic network inference tasks.
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