Individual Recognition in Schizophrenia using Deep Learning Methods with Random Forest and Voting Classifiers: Insights from Resting State EEG Streams

@article{Chu2017IndividualRI,
  title={Individual Recognition in Schizophrenia using Deep Learning Methods with Random Forest and Voting Classifiers: Insights from Resting State EEG Streams},
  author={Lei Chu and Robert Caiming Qiu and Haichun Liu and Zenan Ling and Xin Shi},
  journal={CoRR},
  year={2017},
  volume={abs/1707.03467}
}
Recently, there has been a growing interest in monitoring brain activity for individual recognition system. So far these works are mainly focussing on single channel data or fragment data collected by some advanced brain monitoring modalities. In this study we propose new individual recognition schemes based on spatio-temporal resting state… CONTINUE READING