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The impact of data set similarity and diversity on transfer learning success in time series forecasting
Models, pre-trained on a similar or diverse source data set, have become pivotal in enhancing the efficiency and accuracy of time series forecasting on target data sets by leveraging transfer learning.
Hierarchical Neural Additive Models for Interpretable Demand Forecasts
Demand forecasts are the crucial basis for numerous business decisions, ranging from inventory management to strategic facility planning.
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