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

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Bianchi, Matteo, De Santis, Antonio, Tocchetti, Andrea, Brambilla, Marco
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
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