These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
110 related articles for article (PubMed ID: 37903050)
1. Multivariate Time Series Forecasting Using Multiscale Recurrent Networks With Scale Attention and Cross-Scale Guidance. Guo Q; Fang L; Wang R; Zhang C IEEE Trans Neural Netw Learn Syst; 2023 Oct; PP():. PubMed ID: 37903050 [TBL] [Abstract][Full Text] [Related]
2. A Multiscale Interactive Recurrent Network for Time-Series Forecasting. Chen D; Chen L; Zhang Y; Wen B; Yang C IEEE Trans Cybern; 2022 Sep; 52(9):8793-8803. PubMed ID: 33710967 [TBL] [Abstract][Full Text] [Related]
3. Hierarchical attention network for multivariate time series long-term forecasting. Bi H; Lu L; Meng Y Appl Intell (Dordr); 2023; 53(5):5060-5071. PubMed ID: 35730045 [TBL] [Abstract][Full Text] [Related]
4. Sparse transformer with local and seasonal adaptation for multivariate time series forecasting. Zhang Y; Wu R; Dascalu SM; Harris FC Sci Rep; 2024 Jul; 14(1):15909. PubMed ID: 38987385 [TBL] [Abstract][Full Text] [Related]
5. A Novel Encoder-Decoder Model for Multivariate Time Series Forecasting. Zhang H; Li S; Chen Y; Dai J; Yi Y Comput Intell Neurosci; 2022; 2022():5596676. PubMed ID: 35463259 [TBL] [Abstract][Full Text] [Related]
6. RESEAT: Recurrent Self-Attention Network for Multi-Regional Influenza Forecasting. Moon J; Jung S; Park S; Hwang E IEEE J Biomed Health Inform; 2023 May; 27(5):2585-2596. PubMed ID: 37027675 [TBL] [Abstract][Full Text] [Related]
7. Contextually enhanced ES-dRNN with dynamic attention for short-term load forecasting. Smyl S; Dudek G; Pełka P Neural Netw; 2024 Jan; 169():660-672. PubMed ID: 37972510 [TBL] [Abstract][Full Text] [Related]
8. Energy Load Forecasting Using a Dual-Stage Attention-Based Recurrent Neural Network. Ozcan A; Catal C; Kasif A Sensors (Basel); 2021 Oct; 21(21):. PubMed ID: 34770422 [TBL] [Abstract][Full Text] [Related]
9. Spatial-Temporal Convolutional Transformer Network for Multivariate Time Series Forecasting. Huang L; Mao F; Zhang K; Li Z Sensors (Basel); 2022 Jan; 22(3):. PubMed ID: 35161585 [TBL] [Abstract][Full Text] [Related]
10. Time Series Forecasting and Classification Models Based on Recurrent with Attention Mechanism and Generative Adversarial Networks. Zhou K; Wang W; Hu T; Deng K Sensors (Basel); 2020 Dec; 20(24):. PubMed ID: 33339314 [TBL] [Abstract][Full Text] [Related]
11. Spatial-Temporal Synchronous Graph Transformer network (STSGT) for COVID-19 forecasting. Banerjee S; Dong M; Shi W Smart Health (Amst); 2022 Dec; 26():100348. PubMed ID: 36277841 [TBL] [Abstract][Full Text] [Related]
12. ADST: Forecasting Metro Flow Using Attention-Based Deep Spatial-Temporal Networks with Multi-Task Learning. Jia H; Luo H; Wang H; Zhao F; Ke Q; Wu M; Zhao Y Sensors (Basel); 2020 Aug; 20(16):. PubMed ID: 32824074 [TBL] [Abstract][Full Text] [Related]
13. Learning Cascade Attention for fine-grained image classification. Zhu Y; Li R; Yang Y; Ye N Neural Netw; 2020 Feb; 122():174-182. PubMed ID: 31683145 [TBL] [Abstract][Full Text] [Related]
14. Multivariate time series forecasting method based on nonlinear spiking neural P systems and non-subsampled shearlet transform. Long L; Liu Q; Peng H; Wang J; Yang Q Neural Netw; 2022 Aug; 152():300-310. PubMed ID: 35594758 [TBL] [Abstract][Full Text] [Related]
15. Medical multivariate time series imputation and forecasting based on a recurrent conditional Wasserstein GAN and attention. Festag S; Spreckelsen C J Biomed Inform; 2023 Mar; 139():104320. PubMed ID: 36791899 [TBL] [Abstract][Full Text] [Related]
16. Self-Attention-Based Deep Learning Network for Regional Influenza Forecasting. Jung S; Moon J; Park S; Hwang E IEEE J Biomed Health Inform; 2022 Feb; 26(2):922-933. PubMed ID: 34197330 [TBL] [Abstract][Full Text] [Related]
17. A Joint Time-Frequency Domain Transformer for multivariate time series forecasting. Chen Y; Liu S; Yang J; Jing H; Zhao W; Yang G Neural Netw; 2024 Aug; 176():106334. PubMed ID: 38688070 [TBL] [Abstract][Full Text] [Related]
18. ConTraNet: A hybrid network for improving the classification of EEG and EMG signals with limited training data. Ali O; Saif-Ur-Rehman M; Glasmachers T; Iossifidis I; Klaes C Comput Biol Med; 2024 Jan; 168():107649. PubMed ID: 37980798 [TBL] [Abstract][Full Text] [Related]
19. Unsupervised Pre-training of a Deep LSTM-based Stacked Autoencoder for Multivariate Time Series Forecasting Problems. Sagheer A; Kotb M Sci Rep; 2019 Dec; 9(1):19038. PubMed ID: 31836728 [TBL] [Abstract][Full Text] [Related]
20. Deep belief improved bidirectional LSTM for multivariate time series forecasting. Jiang K; Huang Z; Zhou X; Tong C; Zhu M; Wang H Math Biosci Eng; 2023 Aug; 20(9):16596-16627. PubMed ID: 37920025 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]