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.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.