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Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting.

, , , , и . CoRR, (2024)

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Qingsong Hua

Ming Wen

Wen Peng

Naiyen Wen

Wen Wang

 

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Time Series Data Augmentation for Deep Learning: A Survey, , , , , и . (2020)cite arxiv:2002.12478Comment: 7 pages, 2 figures, 3 tables, 42 referred papers.RobustPeriod: Time-Frequency Mining for Robust Multiple Periodicities Detection., , , , , и . CoRR, (2020)RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks., , , , , и . CoRR, (2020)The 9th SIGKDD International Workshop on Mining and Learning from Time Series., , , , , и . KDD, стр. 5876-5877. ACM, (2023)AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes., , , , , , , , и . AAAI, стр. 15621-15629. AAAI Press, (2023)UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web., , , , , , , и . WWW, стр. 4006-4017. ACM, (2024)LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection., , , , , , , и . WWW, стр. 4138-4149. ACM, (2024)CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting., , , , , и . ICLR, OpenReview.net, (2024)Unlocking the Power of LSTM for Long Term Time Series Forecasting., , , , , , , и . CoRR, (2024)AI for Education (AI4EDU): Advancing Personalized Education with LLM and Adaptive Learning., , , , , , , и . KDD, стр. 6743-6744. ACM, (2024)