"Interpretable Network Visualizations: A Human-in-the-Loop Approach for ..."

Matteo Bianchi et al. (2024)

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DOI: 10.48550/ARXIV.2405.03301

access: open

type: Informal or Other Publication

metadata version: 2024-06-07

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  - journals/corr/abs-2405-03301
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  - https://dblp.org/rec/journals/corr/abs-2405-03301
Matteo Bianchi, Antonio De Santis, Andrea Tocchetti, Marco Brambilla:
Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification. CoRR abs/2405.03301 (2024)

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