Using mental tasks transitions detection to improve spontaneous mental activity classification.
Ferran GalánFrancesc OlivaJoan GuàrdiaPublished in: Medical Biol. Eng. Comput. (2007)
Keyphrases
- classification accuracy
- false positives
- automatic detection
- pattern recognition
- classification method
- decision trees
- detection method
- classification systems
- automatic classification
- object detection
- classification scheme
- classification algorithm
- anomaly detection
- text classification
- supervised learning
- mental states
- human intelligence
- robust detection
- microcalcification clusters
- class labels
- detection accuracy
- pattern classification
- classification process
- discriminative classifiers
- training set
- neural network
- feature extraction
- decision rules
- support vector machine svm
- benchmark datasets
- model selection
- cost sensitive
- image classification
- support vector machine
- hidden markov models
- supervised classification
- feature space
- support vector
- spam detection
- feature selection
- feature extraction and classification
- machine learning
- neyman pearson
- data sets