Application of deep learning and classical machine learning methods in the diagnosis of attention deficit hyperactivity disorder according to temperament features.
Sinan AltunAhmet AlkanHatice AltunPublished in: Concurr. Comput. Pract. Exp. (2022)
Keyphrases
- machine learning methods
- deep learning
- attention deficit hyperactivity disorder
- machine learning approaches
- machine learning
- unsupervised feature learning
- machine learning algorithms
- feature vectors
- feature extraction
- feature set
- unsupervised learning
- pattern recognition
- computer vision
- training examples
- image features
- active learning
- weakly supervised
- viewpoint
- deep architectures