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Recommendations for the article Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency
| Abstract | Title | Authors | Publication Date | Journal/ Conference | Citation count | Highest h-index |
|---|---|---|---|---|---|---|
| visibility_off | Self-Supervised Contrastive Learning for Medical Time Series: A Systematic Review | Ziyu Liu, A. Alavi, Minyi Li, X. Zhang | 2023-04-23 | Sensors (Basel, Switzerland) | 37 | 78 |
| visibility_off | Time-series representation learning via Time-Frequency Fusion Contrasting | Wenbo Zhao, Ling Fan | 2024-06-12 | Frontiers in Artificial Intelligence | 1 | 1 |
| visibility_off | TS-MoCo: Time-Series Momentum Contrast for Self-Supervised Physiological Representation Learning | Philipp Hallgarten, David Bethge, Ozan Özdenizci, T. Große-Puppendahl, Enkelejda Kasneci | 2023-06-10 | 2023 31st European Signal Processing Conference (EUSIPCO) | 0 | 40 |
| visibility_off | Time-Series Representation Feature Refinement with a Learnable Masking Augmentation Framework in Contrastive Learning | Junyeop Lee, Insung Ham, Yongmin Kim, Hanseok Ko | 2024-12-01 | Sensors (Basel, Switzerland) | 0 | 2 |
| visibility_off | Supervised Contrastive Few-Shot Learning for High-Frequency Time Series | X. Chen, Cheng Ge, Ming Wang, Jin Wang | 2023-06-26 | DBLP | 5 | 142 |
| visibility_off | Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series | Yihe Wang, Yu Han, Haishuai Wang, Xiang Zhang | 2023-10-21 | ArXiv | 41 | 4 |
| visibility_off | CALDA: Improving Multi-Source Time Series Domain Adaptation With Contrastive Adversarial Learning | Garrett Wilson, J. Doppa, D. Cook | 2021-09-30 | IEEE Transactions on Pattern Analysis and Machine Intelligence | 24 | 72 |
| visibility_off | Self-supervised Classification of Clinical Multivariate Time Series using Time Series Dynamics | Yakir Yehuda, Daniel Freedman, Kira Radinsky | 2023-08-04 | Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining | 2 | 26 |
| visibility_off | Phase-driven Domain Generalizable Learning for Nonstationary Time Series | Payal Mohapatra, Lixu Wang, Qi Zhu | 2024-02-05 | ArXiv | 1 | 11 |
| visibility_off | Improving Time Series Encoding with Noise-Aware Self-Supervised Learning and an Efficient Encoder | Anh Duy Nguyen, Trang H. Tran, Hieu Pham, Phi-Le Nguyen, Lam M. Nguyen | 2023-06-11 | 2024 IEEE International Conference on Data Mining (ICDM) | 3 | 21 |
| Abstract | Title | Authors | Publication Date | Journal/Conference | Citation count | Highest h-index |