Group pooling for deep tourism demand forecasting
Annals of Tourism Research, pp. 1028992020.
Abstract Advances in tourism demand forecasting immensely benefit tourism and other sectors, such as economic and resource management studies. However, even for novel AI-based methodologies, the challenge of limited available data causing model overfitting and high complexity in forecasting models remains a major problem. This study pro...More
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