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: CoRR (2024)
Keyphrases
- learning models
- detection accuracy
- machine learning
- natural language processing
- face detection
- detection algorithm
- machine learning algorithms
- learning tasks
- information extraction
- learning algorithm
- learning paradigms
- number of false alarms
- detection rate
- semi supervised learning
- false detections
- learning problems
- natural language
- feature selection
- text classification
- computer vision
- reinforcement learning
- kernel methods
- detection method
- decision trees
- knowledge representation
- conditional random fields
- transfer learning
- loss function
- data mining
- learning environment
- classification models
- unsupervised learning
- text mining
- machine learning models
- data sets