1 citations · 2 across the 4 of their papers we have counts for
4 papers
Fortifying Time Series: DTW-Certified Robust Anomaly Detection
Shijie Liu, Tansu Alpcan, Christopher Leckie +1
Time-series anomaly detection is critical for ensuring safety in high-stakes applications, where robustness is a fundamental requirement rather than a mere performance metric. Addr…
Intention-aware Hierarchical Diffusion Model for Long-term Trajectory Anomaly Detection
Chen Wang, Sarah Erfani, Tansu Alpcan +1
Long-term trajectory anomaly detection is a challenging problem due to the diversity and complex spatiotemporal dependencies in trajectory data. Existing trajectory anomaly detecti…
OIL-AD: An Anomaly Detection Framework for Sequential Decision Sequences
Chen Wang, Sarah Erfani, Tansu Alpcan +1
Anomaly detection in decision-making sequences is a challenging problem due to the complexity of normality representation learning and the sequential nature of the task. Most exist…
An Efficient Wireless Channel Estimation Model for Environment Sensing
Zainab Zaidi, Tansu Alpcan, Christopher Leckie +1
This paper presents a novel and efficient wireless channel estimation scheme based on a tapped delay line (TDL) model of wireless signal propagation, where a data-driven machine le…