Understanding the importance of individual samples and their effects on materials data using explainable artificial intelligence
Tommy Liu, Zhi Yang Tho, Amanda S. Barnard
Abstract
Explaining the influence of data instances (materials) to predictions such as structure/property relationships in materials informatics can complement structural feature importance profiling, and guide data generation, cleaning, and verification.
Topics & Concepts
PsychologyArtificial intelligenceComputer scienceData scienceMachine Learning in Materials ScienceMineral Processing and GrindingIndustrial Vision Systems and Defect Detection