1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.AI2024
Applying Attribution Explanations in Truth-Discovery Quantitative Bipolar Argumentation Frameworks
Xiang Yin, Nico Potyka, Francesca Toni
Explaining the strength of arguments under gradual semantics is receiving increasing attention. For example, various studies in the literature offer explanations by computing the a…
cs.AI2022★ 1 cited
Explaining Random Forests using Bipolar Argumentation and Markov Networks (Technical Report)
Nico Potyka, Xiang Yin, Francesca Toni
Random forests are decision tree ensembles that can be used to solve a variety of machine learning problems. However, as the number of trees and their individual size can be large,…