8 citations · 18 across the 8 of their papers we have counts for
3 papers · 1 filter
Balanced Graph Structure Information for Brain Disease Detection
Falih Gozi Febrinanto, Mujie Liu, Feng Xia
Analyzing connections between brain regions of interest (ROI) is vital to detect neurological disorders such as autism or schizophrenia. Recent advancements employ graph neural net…
Entropy Causal Graphs for Multivariate Time Series Anomaly Detection
Falih Gozi Febrinanto, Kristen Moore, Chandra Thapa +4
Many multivariate time series anomaly detection frameworks have been proposed and widely applied. However, most of these frameworks do not consider intrinsic relationships between…
Coupled Attention Networks for Multivariate Time Series Anomaly Detection
Feng Xia, Xin Chen, Shuo Yu +3
Multivariate time series anomaly detection (MTAD) plays a vital role in a wide variety of real-world application domains. Over the past few years, MTAD has attracted rapidly increa…