FCE: Feedback Based Counterfactual Explanations for Explainable AI-Reference-Cited by-同舟云学术

FCE: Feedback Based Counterfactual Explanations for Explainable AI

Author:

Suffian Muhammad¹^ORCID,Graziani Pierluigi¹^ORCID,Alonso Jose M.²^ORCID,Bogliolo Alessandro¹^ORCID

Affiliation:

1. Department of Pure and Applied Sciences, Università degli Studi di Urbino Carlo Bo, Urbino, Italy

2. Centro Singular de Investigación en Tecnoloxías Intelixentes (CiTIUS), Universidade de Santiago de Compostela, Santiago de Compostela, Spain

Funder

Department of Pure and Applied Sciences, Universita degli Studi di Urbino Carlo Bo, Urbino, Italy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference44 articles.

2. Making tree ensembles interpretable: A Bayesian model selection approach;hara;Proc Int Conf Artif Intell Statist,2018

3. Interpreting models via single tree approximation;zhou;arXiv 1610 09036,2016

4. Extracting tree-structured representations of trained networks;craven;Proc Adv Neural Inf Process Syst,1995

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Introducing User Feedback-Based Counterfactual Explanations (UFCE);International Journal of Computational Intelligence Systems;2024-05-21

3. The Need for Explainable AI in Industry 5.0;Advances in Computational Intelligence and Robotics;2024-01-18