A deep learning approach for combining time-series and textual data for taxi demand prediction in event areas
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A deep learning approach for combining time-series and textual data for taxi demand prediction in event areas.
This code reproduces the experiments in the paper:
Rodrigues, F. and Markou, I. and Pereira, F. C. Combining time-series and textual data for taxi demand prediction in event areas: a deep learning approach. In Information Fusion, Elsevier, 2018.
For a demo, see the Jupyter notebook "demo-terminal5-fc-attention.ipynb".
A deep learning approach for combining time-series and textual data for taxi demand prediction in event areas