Efficacy of Dynamics-Based Features for Machine Learning Classification of Renal Hemodynamics.
Purva R. ChopdeRocío Álvarez-CedrónSebastian AlphonseAaron J. PolichnowskiKaren A. GriffinGeoffrey A. WilliamsonPublished in: EUSIPCO (2023)
Keyphrases
- machine learning
- classification accuracy
- feature extraction
- machine learning approaches
- extracted features
- feature vectors
- feature space
- feature construction
- pattern recognition
- feature selection
- supervised learning
- feature set
- classification method
- classification process
- machine learning models
- machine learning algorithms
- svm classifier
- feature generation
- decision trees
- supervised machine learning
- feature values
- feature extraction and classification
- discriminative features
- feature representation
- high dimensionality
- machine learning methods
- class labels
- support vector machine
- classification models
- decision tree classifiers
- feature weights
- extracting features
- benchmark datasets
- classification scheme
- irrelevant features
- gender classification
- supervised classification
- eeg signals
- low level
- support vector
- patient specific
- computer vision
- neural network