Kaixiang Yang

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System

2024 · arXiv (Cornell University)

Time series anomaly detection (TSAD) has been a research hotspot in both academia and industry in recent years. Deep learning methods have become the mainstream research direction due to their excellent performance. However, new viewpoints …

Ensemble Denoising Autoencoders Based on Broad Learning System for Time-Series Anomaly Detection

2025 · IEEE Transactions on Neural Networks and Learning Systems

Time-series anomaly detection has gained considerable prominence in numerous practical applications across various domains. Nonetheless, the scarcity of labels leads to the neglect of anomalous patterns in data, as well as the inherent complexities and …