92 citations · 183 across the 23 of their papers we have counts for
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Open-Set Multivariate Time-Series Anomaly Detection
Thomas Lai, Thi Kieu Khanh Ho, Narges Armanfard
Numerous methods for time-series anomaly detection (TSAD) have emerged in recent years, most of which are unsupervised and assume that only normal samples are available during the…
Language-Guided Reinforcement Learning for Hard Attention in Few-Shot Learning
Bahareh Nikpour, Narges Armanfard
Attention mechanisms have demonstrated significant potential in enhancing learning models by identifying key portions of input data, particularly in scenarios with limited training…
Contaminated Multivariate Time-Series Anomaly Detection with Spatio-Temporal Graph Conditional Diffusion Models
Thi Kieu Khanh Ho, Narges Armanfard
Mainstream unsupervised anomaly detection algorithms often excel in academic datasets, yet their real-world performance is restricted due to the controlled experimental conditions…
Graph Anomaly Detection in Time Series: A Survey
Thi Kieu Khanh Ho, Ali Karami, Narges Armanfard
With the recent advances in technology, a wide range of systems continue to collect a large amount of data over time and thus generate time series. Time-Series Anomaly Detection (T…