FusAD: Time-Frequency Fusion with Adaptive Denoising for General Time Series Analysis
FusAD: Time-Frequency Fusion with Adaptive Denoising for General Time Series Analysis [92.2] 時系列分析は、金融、医療、産業、気象学などの分野において重要な役割を果たす。 FusADは多様な時系列タスク用に設計された統合分析フレームワークである。 論文参考訳（メタデータ） (Tue, 16 Dec 2025 04:34:27 GMT)
「we propose FusAD, a unified analysis framework designed for diverse time series tasks. FusAD features an adaptive time-frequency fusion mechanism, integrating both Fourier and Wavelet transforms to efficiently capture global-local and multi-scale dynamic features. With an adaptive denoising mechanism, FusAD automatically senses and filters various types of noise, highlighting crucial sequence variations and enabling robust feature extraction in complex environments. In addition, the framework integrates a general in- formation fusion and decoding structure, combined with masked pre-training, to promote efficient learning and transfer of multi- granularity representations」とのこと。なかなか取り扱いの難しい問題だと思うのだが、実際の性能に興味津々。