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Contrastive Domain Adaptation for Time-Series Via Temporal Mixup

  • Published:2023 Issue: Volume: Page:1-10
  • ISSN:2691-4581
  • Container-title:IEEE Transactions on Artificial Intelligence
  • language:
  • Short-container-title:IEEE Trans. Artif. Intell.

Author:

Eldele Emadeldeen1ORCID,Ragab Mohamed2ORCID,Chen Zhenghua2ORCID,Wu Min3ORCID,Kwoh Chee-Keong1ORCID,Li Xiaoli1ORCID

Affiliation:

1. School of Computer Science and Engineering, Nanyang Technological University, Singapore

2. Centre for Frontier AI Research, Agency for Science, Technology and Research, Singapore

3. Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Artificial Intelligence

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MNEMONIC: Multikernel contrastive domain adaptation for time-series classification;Engineering Applications of Artificial Intelligence;2024-07

2. Contrastive Sensor Excitation for Generalizable Cross-Person Activity Recognition;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. Time Series Domain Adaptation via Multiscale Feature Extraction and Mix-up;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

4. Diffusion‐UDA: Diffusion‐based unsupervised domain adaptation for submersible fault diagnosis;Electronics Letters;2024-02

5. Prototype Guided Adversarial Domain Adaptation for Time Series Classification;2023 13th International Conference on Information Science and Technology (ICIST);2023-12-08
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