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Deep learning is playing an increasingly important role in time series analysis. We focused on time series forecasting using attention free mechanism, a more efficient framework, and proposed a new architecture for time series prediction for which linear models seem to be unable to capture the...
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threshold models. It is demonstrated how simulated decision maps help in classifying observed time series. The maps process the …
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