New Features for Neuron Classification.
Leonardo Agustín Hernández-PérezDuniel Delgado-CastilloRainer Martín-PérezRubén Orozco-MoralesJuan V. Lorenzo-GinoriPublished in: Neuroinformatics (2019)
Keyphrases
- classification accuracy
- feature vectors
- feature extraction
- feature space
- classification method
- svm classifier
- feature set
- classification models
- pattern recognition
- classification process
- extracted features
- support vector machine
- feature selection
- feature analysis
- high dimensionality
- support vector machine svm
- benchmark datasets
- gender classification
- pattern classification
- neural network
- decision trees
- feature values
- text classification
- extracting features
- feature weights
- automatic classification
- image features
- low level
- machine learning approaches
- multiple classifiers
- classification algorithm
- feature reduction
- feature extraction and classification
- classification scheme
- feature subset
- class labels
- image classification
- co occurrence
- machine learning
- classification rate
- eeg signals
- false positives
- discriminative features
- naive bayes
- training set
- input patterns
- support vector
- decision tree classifiers