BRATI, a bidirectional RNN plus attention architecture, reports lower imputation error than state-of-the-art baselines on PhysioNet, water quality, and space weather time series.
DeepSD: Supply-Demand Prediction for Online Car-Hailing Services Using Deep Neural Networks
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BRATI: Bidirectional Recurrent Attention for Time-Series Imputation
BRATI, a bidirectional RNN plus attention architecture, reports lower imputation error than state-of-the-art baselines on PhysioNet, water quality, and space weather time series.