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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) | 18 | 77 |
| visibility_off | Time-series representation learning via Time-Frequency Fusion Contrasting | Wenbo Zhao, Ling Fan | 2024-06-12 | Frontiers in Artificial Intelligence | 0 | 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 | 38 |
| visibility_off | Supervised Contrastive Few-Shot Learning for High-Frequency Time Series | X. Chen, Cheng Ge, Mingxing Wang, Jin Wang | 2023-06-26 | DBLP | 2 | 139 |
| visibility_off | Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series | Yihe Wang, Yu Han, Haishuai Wang, Xiang Zhang | 2023-10-21 | ArXiv | 16 | 2 |
| 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 | 13 | 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 | 0 | 24 |
| visibility_off | Phase-driven Domain Generalizable Learning for Nonstationary Time Series | Payal Mohapatra, Lixu Wang, Qi Zhu | 2024-02-05 | ArXiv | 1 | 9 |
| visibility_off | Contrastive Neural Processes for Self-Supervised Learning | Konstantinos Kallidromitis, Denis A. Gudovskiy, Kozuka Kazuki, Ohama Iku, Luca Rigazio | 2021-10-24 | DBLP, ArXiv | 10 | 13 |
| visibility_off | Large Scale Time-Series Representation Learning via Simultaneous Low and High Frequency Feature Bootstrapping | Vandan Gorade, Azad Singh, Deepak Mishra | 2022-04-24 | IEEE transactions on neural networks and learning systems | 4 | 5 |
| Abstract | Title | Authors | Publication Date | Journal/Conference | Citation count | Highest h-index |