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…
cs.LG2021
Generative Adversarial Network for Probabilistic Forecast of Random Dynamical System
Kyongmin Yeo, Zan Li, Wesley M. Gifford
We present a deep learning model for data-driven simulations of random dynamical systems without a distributional assumption. The deep learning model consists of a recurrent neural…