5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2025
A Learnable Multi-views Contrastive Framework with Reconstruction Discrepancy for Medical Time-Series
Yifan Wang, Hongfeng Ai, Ruiqi Li +3
In medical time series disease diagnosis, two key challenges are identified.First, the high annotation cost of medical data leads to overfitting in models trained on label-limited,…
cs.AI2022★ 5 cited
FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting
Maowei Jiang, Pengyu Zeng, Kai Wang +3
Time series forecasting is a long-standing challenge due to the real-world information is in various scenario (e.g., energy, weather, traffic, economics, earthquake warning). Howev…