Explanation Ontology: A Model of Explanations for User-Centered AI

4 October 2020

Papers citing "Explanation Ontology: A Model of Explanations for User-Centered AI"

4 / 4 papers shown

Title
Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes Shruthi Chari Prasanth Acharya Daniel Gruen Olivia R. Zhang Elif Eyigoz ... Oshani Seneviratne Fernando Jose Suarez Saiz Pablo Meyer Prithwish Chakraborty D. McGuinness 37 18 0 11 Feb 2023
Semantic Modeling for Food Recommendation Explanations Ishita Padhiar Oshani Seneviratne Shruthi Chari Daniel Gruen D. McGuinness 26 14 0 04 May 2021
Semantics of the Black-Box: Can knowledge graphs help make deep learning systems more interpretable and explainable? Manas Gaur Keyur Faldu A. Sheth 41 113 0 16 Oct 2020
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 259 3,698 0 28 Feb 2017