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Interpretable Network Visualizations: A Human-in-the-Loop Approach for
  Post-hoc Explainability of CNN-based Image Classification

Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification

6 May 2024
Matteo Bianchi
Antonio De Santis
Andrea Tocchetti
Marco Brambilla
    MILM
    FAtt
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Papers citing "Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification"

1 / 1 papers shown
Title
Are We Merely Justifying Results ex Post Facto? Quantifying Explanatory Inversion in Post-Hoc Model Explanations
Are We Merely Justifying Results ex Post Facto? Quantifying Explanatory Inversion in Post-Hoc Model Explanations
Zhen Tan
Song Wang
Yifan Li
Yu Kong
Jundong Li
Tianlong Chen
Huan Liu
FAtt
38
0
0
11 Apr 2025
1