共 10 条
- [1] Multi-head attention-based model for reconstructing continuous missing time series data JOURNAL OF SUPERCOMPUTING, 2023, 79 (18): : 20684 - 20711
- [2] Multi-head attention-based model for reconstructing continuous missing time series data The Journal of Supercomputing, 2023, 79 : 20684 - 20711
- [3] Correction to: Multi‑head attention‑based model for reconstructing continuous missing time series data The Journal of Supercomputing, 2024, 80 : 1363 - 1364
- [4] Price prediction in China stock market: an integrated method based on time series clustering and image feature extraction (Aug, 10.1007/s11227-023-05562-z, 2023) JOURNAL OF SUPERCOMPUTING, 2024, 80 (07): : 10191 - 10191
- [5] Attention-Based Multi-modal Missing Value Imputation for Time Series Data with High Missing Rate PROCEEDINGS OF THE 2023 SIAM INTERNATIONAL CONFERENCE ON DATA MINING, SDM, 2023, : 469 - 477
- [8] DeepCKID: A Multi-Head Attention-Based Deep Neural Network Model Leveraging Classwise Knowledge to Handle Imbalanced Textual Data MACHINE LEARNING WITH APPLICATIONS, 2024, 17
- [10] Interpretable Detection Method for False Data Injection Attack on Power Grid Based on Multi-head Graph Attention Network and Time Convolution Network Model Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2024, 48 (02): : 118 - 127