Epileptic seizure detection from EEG signals using logistic model trees.
- Published in:
- Brain Informatics, 2016, v. 3, n. 2, p. 93, doi. 10.1007/s40708-015-0030-2
- By:
- Publication type:
- Article
Works matching IS 21984018 AND DT 2016 AND VI 3 AND IP 2
Results: 6
1
2
Wavelet-based study of valence-arousal model of emotions on EEG signals with LabVIEW.
- Published in:
- Brain Informatics, 2016, v. 3, n. 2, p. 109, doi. 10.1007/s40708-016-0031-9
- By:
- Publication type:
- Article
3
Classification of epileptic EEG signals based on simple random sampling and sequential feature selection.
- Published in:
- Brain Informatics, 2016, v. 3, n. 2, p. 85, doi. 10.1007/s40708-016-0039-1
- By:
- Publication type:
- Article
4
Interactive machine learning for health informatics: when do we need the human-in-the-loop?
- Published in:
- Brain Informatics, 2016, v. 3, n. 2, p. 119, doi. 10.1007/s40708-016-0042-6
- By:
- Publication type:
- Article
5
Spike pattern recognition by supervised classification in low dimensional embedding space.
- Published in:
- Brain Informatics, 2016, v. 3, n. 2, p. 73, doi. 10.1007/s40708-016-0044-4
- By:
- Publication type:
- Article
6
Time-frequency texture descriptors of EEG signals for efficient detection of epileptic seizure.
- Published in:
- Brain Informatics, 2016, v. 3, n. 2, p. 101, doi. 10.1007/s40708-015-0029-8
- By:
- Publication type:
- Article