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A new crude oil futures forecasting method based on fusing quadratic forecasting with residual forecasting., , , и . Digit. Signal Process., (2022)Clustering-property Matters: A Cluster-aware Network for Large Scale Multivariate Time Series Forecasting., , , , , и . CIKM, стр. 4340-4344. ACM, (2023)A new ensemble deep graph reinforcement learning network for spatio-temporal traffic volume forecasting in a freeway network., , , , , и . Digit. Signal Process., (2022)A data-driven hybrid ensemble AI model for COVID-19 infection forecast using multiple neural networks and reinforced learning., , , и . Comput. Biol. Medicine, (2022)MRIformer: A multi-resolution interactive transformer for wind speed multi-step prediction., , , , и . Inf. Sci., (2024)DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction., , , , , и . CIKM, стр. 3062-3072. ACM, (2023)A dynamic ensemble deep deterministic policy gradient recursive network for spatiotemporal traffic speed forecasting in an urban road network., , , , , и . Digit. Signal Process., (2022)Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis., , , , , , , , , и 2 other автор(ы). CoRR, (2023)A novel axle temperature forecasting method based on decomposition, reinforcement learning optimization and neural network., , , , и . Adv. Eng. Informatics, (2020)Attention mechanism is useful in spatio-temporal wind speed prediction: Evidence from China., , , и . Appl. Soft Comput., (ноября 2023)