Context Aware Sensing
Our focus on context aware sensing branches into several problems of interest:
- Time-series prediction including speech, biomedical signals, power prediction, and moreĀ
- Optimized sensing in Internet of Things (IoT)
- Learning from limited data sources
Papers and Projects
Augmenting DL with Adversarial Training for Robust Prediction of Epilepsy Seizures
We proposed a novel approach that optimizes a hierarchical CNN and GRU network with Adversarial Examples training for seizure prediction