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Found 2 papers, 1 papers with code
A novel structured argumentation framework for improved explainability of classification tasks
The study presents a methodology for construction of $xADGs$ and evaluates their size and predictive capacity for classification tasks of varying magnitudes.
Comparing and extending the use of defeasible argumentation with quantitative data in real-world contexts
Computational trust was selected as the domain of application of such models.
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