Early Seizure Detection Algorithm Based on Intracranial EEG and Random Forest Classification.
Cristian DonosMatthias DümpelmannAndreas Schulze-BonhagePublished in: Int. J. Neural Syst. (2015)
Keyphrases
- detection algorithm
- random forest
- eeg signals
- decision trees
- fold cross validation
- feature set
- eeg data
- cancer classification
- random forests
- detection accuracy
- detection method
- selected features
- ensemble methods
- decision tree learning algorithms
- ensemble classifier
- brain activity
- support vector machine svm
- feature extraction
- text classification
- independent component analysis
- feature selection
- image classification
- signal processing
- machine learning
- feature vectors
- moving objects
- multi label
- bayesian networks
- ensemble learning
- machine learning methods
- class labels
- supervised learning
- naive bayes
- face detection
- svm classifier
- benchmark datasets
- object detection
- support vector machine
- support vector
- computer vision