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Multimodal Temporal Fusion Transformers Are Good Product Demand Forecasters
Traditional approaches to demand forecasting rely on historical demand, product categories, and additional contextual information such as seasonality and events.
Multimodal Classification of Urban Micro-Events
In this paper we explore several methods of creating such a classifier, including early, late, hybrid fusion and representation learning using multimodal graphs.
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