Browsing by Publisher "National Science Foundation"

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Interpretability and accessibility of machine learning in selected food processing, agriculture and health applications

Ranasinghe, N.; Ramanan, A.; Fernando, S.; Hameed, P. N.; Herath, D.; Malepathirana, T.; Suganthan, P.; Niranjan, M.; Halgamuge, S.... more authors ... less authors ( National Science Foundation , 2022 , Article Review)
Artificial Intelligence (Al) and its data-centric branch of machine learning (ML) have greatly evolved over the last few decades. However, as Al is used increasingly in real world use cases, the importance of the ...