Comparing Autoregressive and Network Features for Classification of Depression and Anxiety.
Sebastian F. RufMd Navid AkbarSusan L. Whitfield-GabrieliDeniz ErdogmusPublished in: EMBC (2021)
Keyphrases
- autoregressive
- classification accuracy
- feature vectors
- feature extraction
- feature set
- feature space
- machine learning
- class labels
- gaussian markov random field
- extracted features
- image features
- co occurrence
- image classification
- moving average
- random fields
- text classification
- non stationary
- information retrieval
- model selection
- prior knowledge
- feature selection
- random field models