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Updated: Jan 7, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

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SegClarity:一个基于归属的XAI工作流程,用于评估历史文档布局模型.

Iheb Brini1,2, Najoua Rahal2, Maroua Mehri1

  • 1Ecole Nationale d'Ingénieurs de Sousse, Laboratory of Advanced Technology and Intelligent Systems (LATIS), Université de Sousse, Sousse 4054, Tunisia.

Journal of imaging
|December 24, 2025
PubMed
概括

这项研究引入了SegClarity,一个新的工作流程和指标 (归因一致性得分),以提高用于历史文档分割的深度学习模型的可解释性,提高对AI输出的信任.

关键词:
归因地图的归因地图.深度神经网络是一个神经网络.文件布局分析 文件布局分析评估指标 评估指标可解释的人工智能语义细分 语义细分 语义细分 语义细分

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