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Dagstuhl Research Online Publication Server· 2024

On a Method to Measure Supervised Multiclass Model’s Interpretability: Application to Degradation Diagnosis (Short Paper)

Gauriat, Charles-Maxime, Pencolé, Yannick, Ribot, Pauline, Brouillet, Gregory

Short summary

A novel, agnostic method is introduced to quantitatively measure the interpretability of supervised multiclass AI models, specifically applied to diagnosing machine degradation.

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Field: Artificial Intelligence

Artificial IntelligenceComputer Science