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Evaluating Explainability: A Framework for Systematic Assessment and Reporting of Explainable AI Features

Evaluating Explainability: A Framework for Systematic Assessment and Reporting of Explainable AI Features

16 June 2025
Miguel Lago
Ghada Zamzmi
Brandon Eich
Jana G. Delfino
    XAIELM
ArXiv (abs)PDFHTML

Papers citing "Evaluating Explainability: A Framework for Systematic Assessment and Reporting of Explainable AI Features"

3 / 3 papers shown
Title
Knowledge-based in silico models and dataset for the comparative
  evaluation of mammography AI for a range of breast characteristics, lesion
  conspicuities and doses
Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and doses
E. Sizikova
Niloufar Saharkhiz
D. Sharma
Miguel Lago
B. Sahiner
Jana G. Delfino
Aldo Badano
50
6
0
27 Oct 2023
From Heatmaps to Structural Explanations of Image Classifiers
From Heatmaps to Structural Explanations of Image Classifiers
Li Fuxin
Zhongang Qi
Saeed Khorram
Vivswan Shitole
Prasad Tadepalli
Minsuk Kahng
Alan Fern
XAIFAtt
49
5
0
13 Sep 2021
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMatObjD
520
62,360
0
04 Jun 2015
1