Explaining Classifiers' Outputs with Causal Models and Argumentation.
Antonio RagoFabrizio RussoEmanuele AlbiniFrancesca ToniPietro BaroniPublished in: FLAP (2023)
Keyphrases
- causal models
- causal discovery
- conditional independence
- causal relationships
- structural model
- structural equation models
- support vector
- causal reasoning
- decision trees
- causal relations
- directed acyclic graph
- training data
- causal inference
- causal graph
- naive bayes
- feature selection
- training set
- tractable cases
- causal structure
- diagnostic problem solving
- generating explanations
- discovery process
- class labels
- feature set