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Showing 1 to 1 of 1 for “"Machine Learning Interpretability Techniques"”.
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Advancing Explainability in Multi-Label Classification for Tomato Disease Detection Using Machine Learning Interpretability Techniques
… to errors. With the rapid growth of technology, machine learning (ML) and artificial intelligence (AI) have opened new possibilities for automating this process. One of the most promising technologies for plant disease diagnosis is Convolutional Neural Networks (CNNs), which have proven effective …