Exploring Convolutional Neural Networks for Rice Grain Classification: An Explainable AI Approach

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Exploring Convolutional Neural Networks for Rice Grain Classification: An Explainable AI Approach

7 May 2025

Muhammad Junaid Asif

Syed Tahir Hussain Rizvi

Rana Fayyaz Ahmad

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Papers citing "Exploring Convolutional Neural Networks for Rice Grain Classification: An Explainable AI Approach"

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Title
A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME Ahmed M. A. Salih Z. Raisi-Estabragh I. Galazzo Petia Radeva Steffen E. Petersen Gloria Menegaz Karim Lekadir FAtt 63 106 0 03 May 2023
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 298 30,152 0 01 Mar 2022
Searching for MobileNetV3 Andrew G. Howard Mark Sandler Grace Chu Liang-Chieh Chen Bo Chen ... Yukun Zhu Ruoming Pang Vijay Vasudevan Quoc V. Le Hartwig Adam 394 6,811 0 06 May 2019
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network A. Sherstinsky 115 3,749 0 09 Aug 2018
Generative Adversarial Networks: An Overview Antonia Creswell Tom White Vincent Dumoulin Kai Arulkumaran B. Sengupta Anil A Bharath GAN 128 3,064 0 19 Oct 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 22,090 0 22 May 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,071 0 16 Feb 2016
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 886 27,427 0 02 Dec 2015
Deep Learning in Neural Networks: An Overview Jürgen Schmidhuber HAI 250 16,405 0 30 Apr 2014