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Conference Open access Sep 2026

AnoMamba: Aligning Reconstruction with Time Series Anomaly Detection via Selective Global Dependency Modeling

Reconstruction-based frameworks are widely adopted in Time Series Anomaly Detection (TSAD), assuming that models reconstruct normal behavior well but yield larger errors on anomalies. However, in unsupervised TSAD, minimizing reconstruction loss alone often breaks this assumption. Models tend to overfit local patterns...

Jun-Qi Chen, Xu Tan, Jie Chen et al. · 0 citations
2026

Contrastive Learning With Intra-Recording Pairs for Small-Sample Underwater Acoustic Target Recognition

Passive acoustic monitoring (PAM) is a pivotal technology in ocean observation and surveillance. Although deep-learning-based passive underwater acoustic target recognition (UATR) has advanced rapidly, supervised approaches still face two challenges. First, labeled passive sonar data required for model training are sca...

Xi-Ling Yao, Jie Chen, Dong-Yuan Shi et al. · 0 citations

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