Anna Jordán
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Traffic4cast at NeurIPS 2021 -- Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes Open
The IARAI Traffic4cast competitions at NeurIPS 2019 and 2020 showed that neural networks can successfully predict future traffic conditions 1 hour into the future on simply aggregated GPS probe data in time and space bins. We thus reinterp…
Temporal Autoencoder with U-Net Style Skip-Connections for Frame\n Prediction Open
Finding sustainable and novel solutions to predict city-wide mobility\nbehaviour is an ever-growing problem given increased urban complexity and\ngrowing populations. This paper seeks to address this by describing a traffic\nframe predicti…
Trends in Hospitalization of Patients with Potentially Serious Diseases Evaluated at a Quick Diagnosis Clinic Open
Although quick diagnosis units (QDU) have become a cost-effective alternative to inpatient admission for diagnosis of potentially serious diseases, the rate of return hospitalizations among evaluated patients is unknown. This study examine…