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20202026
most citedLearning spatiotemporal features from incomplete data for traffic flow prediction using hybrid deep neural networks

2 citations · 3 across the 8 of their papers we have counts for

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cs.LG2021

CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning from Sporadic Temporal Data

Mostafa Mehdipour Ghazi, Lauge Sørensen, Sébastien Ourselin +1

Learning temporal patterns from multivariate longitudinal data is challenging especially in cases when data is sporadic, as often seen in, e.g., healthcare applications where the d…