Enhancing ASD detection accuracy: a combined approach of machine learning and deep learning models with natural language processing.
Sergio Rubio-MartínMaría Teresa García-OrdásMartín Bayón-GutiérrezNatalia Prieto-FernándezJosé Alberto Benítez-AndradesPublished in: Health Inf. Sci. Syst. (2024)
Keyphrases
- learning models
- detection accuracy
- machine learning
- natural language processing
- detection algorithm
- face detection
- learning algorithm
- learning tasks
- machine learning algorithms
- semi supervised learning
- learning problems
- false detections
- detection rate
- text mining
- learning paradigms
- information extraction
- active learning
- number of false alarms
- machine learning models
- knowledge representation
- natural language
- supervised learning
- model selection
- support vector machine
- feature selection
- detection method
- text classification
- loss function
- data mining
- reinforcement learning
- high dimensional
- knn
- information retrieval
- computer vision
- decision trees
- unsupervised learning
- transfer learning
- learning process
- knowledge discovery