A paper combines a cumulative binary encoding of target values with a lightweight convolutional architecture to improve time series forecasting accuracy and speed.
F.; Stella, L.; Turkmen, A
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BinConv: A Neural Architecture for Ordinal Encoding in Time-Series Forecasting
A paper combines a cumulative binary encoding of target values with a lightweight convolutional architecture to improve time series forecasting accuracy and speed.