STD: A Seasonal-Trend-Dispersion Decomposition of Time Series

STD: A Seasonal-Trend-Dispersion Decomposition of Time Series

IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022

21 April 2022

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Papers citing "STD: A Seasonal-Trend-Dispersion Decomposition of Time Series"

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Title
MFF-FTNet: Multi-scale Feature Fusion across Frequency and Temporal Domains for Time Series Forecasting Yangyang Shi Qianqian Ren Yong Liu Jianguo Sun AI4TS 226 0 0 26 Nov 2024
Evaluating Gait Symmetry with a Smart Robotic Walker: A Novel Approach to Mobility AssessmentIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024 Mahdi Chalaki A. Soleymani Xingyu Li V. Mushahwar Mahdi Tavakoli 74 4 0 21 Aug 2024
Improving Accuracy Without Losing Interpretability: A ML Approach for Time Series Forecasting Yiqi Sun Zheng Shi Jianshen Zhang Yongzhi Qi Hao Hu Zuo-jun Shen AI4TS 140 1 0 13 Dec 2022