Entropy and Coherence Features in EEG-Based Classification for Alzheimer's Disease Detection.
Sabatina CriscuoloAndrea CataldoEgidio De BenedettoAntonio MasciulloMarisa PesolaRaissa SchiavoniPublished in: I2MTC (2024)
Keyphrases
- eeg signals
- feature vectors
- classification accuracy
- feature set
- feature extraction
- classification process
- classification method
- features extraction
- adaboost classifier
- feature extraction and classification
- feature space
- classification models
- pattern recognition
- feature analysis
- support vector machine classifier
- mammogram images
- class labels
- false positives
- extracted features
- mutual information
- spectral features
- extracting features
- machine learning
- training set
- high dimensionality
- pattern classification
- support vector machine
- feature values
- svm classifier
- feature representation
- feature subset
- detection method
- feature selection
- detection algorithm
- support vector machine svm
- image classification
- textural features
- object detection
- image features
- knn
- motor imagery
- digital mammograms
- training data