Search Results for author: Tom Vermeire

Found 2 papers, 0 papers with code

How to choose an Explainability Method? Towards a Methodical Implementation of XAI in Practice

no code implementations9 Jul 2021 Tom Vermeire, Thibault Laugel, Xavier Renard, David Martens, Marcin Detyniecki

Explainability is becoming an important requirement for organizations that make use of automated decision-making due to regulatory initiatives and a shift in public awareness.

Decision Making Explainable Artificial Intelligence (XAI)

Explainable Image Classification with Evidence Counterfactual

no code implementations16 Apr 2020 Tom Vermeire, David Martens

In this paper, SEDC is introduced as a model-agnostic instance-level explanation method for image classification to obtain visual counterfactual explanations.

Classification counterfactual +4

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