Jun 6, 2020 · In this work, we focus on explainable AI and propose a novel generic and model-agnostic framework for synthesizing input exemplars that maximize ...
Feb 25, 2021 · In this work, we focus on explainable AI and propose a novel generic and model-agnostic framework for synthesizing input exemplars that maximize ...
Sep 14, 2020 · In this work, we focus on explainable AI and propose a novel generic and model-agnostic framework for synthesizing input exemplars that maximize ...
Nov 21, 2024 · In this work, we focus on explainable AI and propose a novel generic and model-agnostic framework for synthesizing input exemplars that maximize ...
This work proposes a novel generic and model-agnostic framework for synthesizing input exemplars that maximize a desired response from a machine learning ...
A generic and model-agnostic exemplar synthetization framework for explainable AI - Official implementation of the ECML 2020 paper.
A Generic and Model-Agnostic Exemplar Synthetization Framework for Explainable AI. Antonio Barbalau, Adrian Cosma, Radu Tudor Ionescu, Marius Popescu.
Sep 14, 2020 · A Generic and Model-Agnostic Exemplar Synthetization Framework for Explainable AI. Sep 14, 2020. Speakers. AB · Antonio Barbalau. Speaker · 0 ...
People also ask
What is the difference between model agnostic and model specific explainability?
What is an Explainable AI model?
What is the difference between generative AI and Explainable AI?
What is the difference between responsible AI and Explainable AI?
Co-authors ; A Generic and Model-Agnostic Exemplar Synthetization Framework for Explainable AI. A Barbalau, A Cosma, RT Ionescu, M Popescu. ECML-PKDD 2020, 2020.
In this work, we focus on explainable AI and propose a novel generic and model-agnostic framework for synthesizing input exemplars that maximize a desired ...