Author

Susanto Rahardja

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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. · Proceedings of the Thirty-Fi... · 0 citations

Open access Sep 2026

Learn the interactions: Weakly supervised video anomaly detection with human-object interactions

Weakly supervised video anomaly detection remains a challenging problem, primarily due to the scarcity of abnormal training samples and the lack of diverse feature representations, which hamper the learning of discriminative models. To address these issues, we introduce a novel weakly supervised cross-domain framework...

Mao-Wen Zhou, Erma Rahayu Mohd Faizal Abdullah, Aznul Qalid Md Sabri et al. · PLoS ONE · 0 citations