Unraveling the Black Box: Interpreting CNNs for Leaf Disease Detection through Model Analysis and Feature Importance-Reference-Cited by-同舟云学术

Unraveling the Black Box: Interpreting CNNs for Leaf Disease Detection through Model Analysis and Feature Importance

Published:2023-09-20 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Innovations in Intelligent Systems and Applications (INISTA)
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Author:

Ghazouani Haythem¹,Barhoumi Walid¹,Jeon Gwanggil²,Zagrouba Ezzeddine¹

Affiliation:

1. Université de Tunis El Manar,LR16ES06 Laboratoire de Recherche en Informatique, Modélisation et Traitement de l’Information et de la Connaissance (LIMTIC),Institut Supérieur d’Informatique d’El Manar, Research Team on Intelligent Systems in Imaging and Artificial Vision (SIIVA),Tunisia

2. Shandong University of Technology,School of Electrical and Electronic Engineering,Zibo,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10310305/10310314/10310344.pdf?arnumber=10310344

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4. Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

5. Plant disease identification using explainable 3D deep learning on hyperspectral images

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