Back to the Feature: A Neural-Symbolic Perspective on Explainable AI.
Andrea CampagnerFederico CabitzaPublished in: CD-MAKE (2020)
Keyphrases
- artificial intelligence
- network architecture
- neural learning
- neural network
- connectionist models
- machine learning
- learning algorithm
- knowledge based systems
- expert systems
- image features
- real time
- computer vision
- knowledge representation
- feature vectors
- multiscale
- case based reasoning
- feature extraction
- symbolic representation
- learning rules
- planning systems
- knowledge base
- information systems