5 papers:
MLDM-2015-DhulekarNOY #graph #learning #mining #predict- Seizure Prediction by Graph Mining, Transfer Learning, and Transformation Learning (ND, SN, BO, BY), pp. 32–52.
ICML-2012-WulsinJL #clustering #modelling #multi #process- A Hierarchical Dirichlet Process Model with Multiple Levels of Clustering for Human EEG Seizure Modeling (DW, SJ, BL), p. 67.
ICML-2010-ShoebG #detection #machine learning- Application of Machine Learning To Epileptic Seizure Detection (AHS, JVG), pp. 975–982.
DHM-2007-XuWZZ #algorithm #complexity #predict- An Epileptic Seizure Prediction Algorithm from Scalp EEG Based on Morphological Filter and Kolmogorov Complexity (GX, JW, QZ, JZ), pp. 736–746.
ICPR-v3-2006-JingS #predict- Scanner Artifact Removal in Simultaneous EEG-fMRI for Epileptic Seizure Prediction (MJ, SS), pp. 722–725.