Classification and Characterization of Children and Adolescents with Depressive Symptomatology using Machine Learning.
Kelly MalaquiasThiago LimaRenata SantanaFelipe SalgadoMaycoln TeodoroCristiane NobrePublished in: SMC (2019)
Keyphrases
- machine learning
- machine learning methods
- machine learning algorithms
- pattern recognition
- decision trees
- supervised machine learning
- support vector machine
- supervised learning
- classification accuracy
- text classification
- feature selection
- pattern classification
- knowledge acquisition
- machine learning approaches
- unsupervised learning
- model selection
- statistical learning
- classification process
- computer vision
- classification systems
- training set
- semi supervised learning
- machine learning models
- classification algorithm
- automatic classification
- supervised classification
- transductive inference
- roc analysis
- learning tasks
- learning systems
- support vector machine svm
- image classification
- natural language processing
- information extraction
- learning algorithm
- artificial intelligence
- feature extraction
- reinforcement learning
- spam filtering
- preprocessing
- explanation based learning
- feature vectors
- text mining
- classification models
- training samples
- benchmark datasets
- classification method