U.S. flag   An unofficial archive of your favorite United States government website
Dot gov

Official websites do not use .rip
We are an unofficial archive, replace .rip by .gov in the URL to access the official website. Access our document index here.

Https

We are building a provable archive!
A lock (Dot gov) or https:// don't prove our archive is authentic, only that you securely accessed it. Note that we are working to fix that :)

This is an archive
(replace .gov by .rip)

Conference Proceedings

Combinatorial Methods for Explainable AI

Published: October 24, 2020

Author(s)

Richard Kuhn (NIST), Raghu Kacker (NIST), Yu Lei (UTA), Dimitris Simos (SBA Research)

Conference

Name: IEEE International Conference on Software Testing Verification and Validation Workshop (ICSTW 2020)
Dates: October 24-28, 2020
Location: [Virtual] Porto, Portugal
Citation: 2020 IEEE International Conference on Software Testing, Verification and Validation Workshop (ICSTW), pp. 167-170

Abstract

Keywords

artificial intelligence; combinatorial testing; explainable AI; machine learning; t-way testing
Control Families

None selected

Documentation

Publication:
Conference Proceedings (DOI)

Supplemental Material:
Preprint (pdf)

Document History:
10/24/20: Conference Proceedings (Final)

Topics

Security and Privacy
testing & validation

Technologies
artificial intelligence; combinatorial testing