Explaining Black-Box classifiers using Post-Hoc explanations-by-example: The effect of explanations and error-rates in XAI user studies

Interpretable time series classification using linear models and multi-resolution multi-domain symbolic representations

(2019) Thach Le Nguyen et al.   DATA MINING AND KNOWLEDGE DISCOVERY

DARPA’s Explainable Artificial Intelligence (XAI) Program

(2019) David Gunning et al.   AI MAGAZINE

A Survey of Methods for Explaining Black Box Models

(2018) Riccardo Guidotti et al.   ACM COMPUTING SURVEYS

Hybrid case-based reasoning system by cost-sensitive neural network for classification

(2016) Saroj Kr. Biswas et al.   SOFT COMPUTING

On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

(2015) Sebastian Bach et al.   PLoS One

Trust in Automation

(2013) Robert R. Hoffman et al.   IEEE INTELLIGENT SYSTEMS

Gaining insight through case-based explanation

(2008) Conor Nugent et al.   JOURNAL OF INTELLIGENT INFORMATION SYSTEMS