Search Results for author: Miriam Doh

Found 2 papers, 1 papers with code

Bridging Human Concepts and Computer Vision for Explainable Face Verification

no code implementations • 30 Jan 2024 • Miriam Doh, Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman, Matei Mancas, Hugues Bersini

With Artificial Intelligence (AI) influencing the decision-making process of sensitive applications such as Face Verification, it is fundamental to ensure the transparency, fairness, and accountability of decisions.

Decision Making Explainable artificial intelligence +3

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An Experimental Investigation into the Evaluation of Explainability Methods

1 code implementation • 25 May 2023 • Sédrick Stassin, Alexandre Englebert, Géraldin Nanfack, Julien Albert, Nassim Versbraegen, Gilles Peiffer, Miriam Doh, Nicolas Riche, Benoît Frenay, Christophe De Vleeschouwer

EXplainable Artificial Intelligence (XAI) aims to help users to grasp the reasoning behind the predictions of an Artificial Intelligence (AI) system.

Explainable artificial intelligence Explainable Artificial Intelligence (XAI)

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