The following publications are possibly variants of this publication:
- A novel unsupervised domain adaptation framework based on graph convolutional network and multi-level feature alignment for inter-subject ECG classificationZiyang He, Yufei Chen, Shuaiying Yuan, Jianhui Zhao 0001, Zhiyong Yuan, Kemal Polat, Adi Alhudhaif, Fayadh Alenezi, Arwa Hamid. eswa, 221:119711, July 2023. [doi]
- A Domain-Adversarial Multi-Graph Convolutional Network for Unsupervised Domain Adaptation Rolling Bearing Fault DiagnosisXinran Li, Wuyin Jin, Xiangyang Xu, Hao Yang. symmetry, 14(12):2654, 2022. [doi]
- Multi-Prompt Alignment for Multi-Source Unsupervised Domain AdaptationHaoran Chen, Xintong Han, Zuxuan Wu, Yu-Gang Jiang. nips 2023: [doi]
- Domain-specific feature recalibration and alignment for multi-source unsupervised domain adaptationMengzhu Wang, Dingyao Chen, Fangzhou Tan, Tianyi Liang, Long Lan, Xiang Zhang 0008, Zhigang Luo. iet-cvi, 17(1):26-38, February 2023. [doi]