3 papers
cs.LG2025
Adversarial Spatio-Temporal Attention Networks for Epileptic Seizure Forecasting
Zan Li, Kyongmin Yeo, Wesley Gifford +3
Forecasting epileptic seizures from multivariate EEG signals represents a critical challenge in healthcare time series prediction, requiring high sensitivity, low false alarm rates…
eess.SP2025
Spatio-Temporal Attention Network for Epileptic Seizure Prediction
Zan Li, Kyongmin Yeo, Wesley Gifford +3
In this study, we present a deep learning framework that learns complex spatio-temporal correlation structures of EEG signals through a Spatio-Temporal Attention Network (STAN) for…
eess.SY2024
Cascading Failure Prediction via Causal Inference
Shiuli Subhra Ghosh, Anmol Dwivedi, Ali Tajer +2
Causal inference provides an analytical framework to identify and quantify cause-and-effect relationships among a network of interacting agents. This paper offers a novel framework…