Comparing Feature Engineering and End-to-End Deep Learning for Autism Spectrum Disorder Assessment based on Fullbody-Tracking.
Alberto AltozanoMaria Eleonora MinissiMariano AlcañizJavier Marín-MoralesPublished in: CoRR (2023)
Keyphrases
- end to end
- deep learning
- feature engineering
- machine learning
- dependency parsing
- text classification
- autism spectrum disorder
- natural language processing
- unsupervised learning
- labeled data
- particle filter
- mental models
- weakly supervised
- pattern recognition
- qualitative analysis
- object detection
- knowledge discovery
- data analysis
- risk assessment
- training data
- speech processing
- decision making
- artificial intelligence