A comprehensive survey of deep learning for time series forecasting: architectural diversity and open challenges
2025 · Artificial Intelligence Review · 82 citations
https://doi.org/10.1007/s10462-025-11223-9
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HyunGi Kim is an academic researcher from Seoul National University. The author has contributed to research in topics: Time Series Analysis and Forecasting & Stock Market Forecasting Methods & Anomaly Detection Techniques and Applications. The author has an h-index of 5, co-authored 12 publications.
ORCID: 0009-0005-8854-1446Click to start Chat