most citedA Comprehensive Survey of Deep Learning for Time Series Forecasting: Architectural Diversity and Open Challenges

4 citations · 4 across the 1 of their papers we have counts for

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1 paper

cs.LG2024★ 4 cited

A Comprehensive Survey of Deep Learning for Time Series Forecasting: Architectural Diversity and Open Challenges

Jongseon Kim, Hyungjoon Kim, HyunGi Kim +2

Time series forecasting is a critical task that provides key information for decision-making. After traditional statistical and machine learning approaches, various fundamental dee…