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A dual-stage attention-based recurrent neural network for time series prediction

, , , , , and . Proceedings of the 26th International Joint Conference on Artificial Intelligence, page 2627--2633. AAAI Press, (2017)

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Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects., , , , , , , , , and 1 other author(s). CoRR, (2023)S2IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting., , , , , and . CoRR, (2024)Empowering Time Series Analysis with Large Language Models: A Survey., , , , , , and . CoRR, (2024)FedSkill: Privacy Preserved Interpretable Skill Learning via Imitation., , , , , and . KDD, page 1010-1019. ACM, (2023)Deep Federated Anomaly Detection for Multivariate Time Series Data., , , , , , , , and . IEEE Big Data, page 1-10. IEEE, (2022)Identifying and quantifying nonlinear structured relationships in complex manufactural systems., , , , , , and . IEEE BigData, page 1357-1362. IEEE Computer Society, (2017)CGLB: Benchmark Tasks for Continual Graph Learning., , and . NeurIPS, (2022)A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction., , , , , and . IJCAI, page 2627-2633. ijcai.org, (2017)Foundation Models for Time Series Analysis: A Tutorial and Survey., , , , , , , and . CoRR, (2024)High resolution population estimates from telecommunications data., , , , and . EPJ Data Sci., 4 (1): 4 (2015)